The tropical atlantic observing system
Open accessAbstract
The tropical Atlantic is home to multiple coupled climate variations covering a wide range of timescales and impacting societally relevant phenomena such as continental rainfall, Atlantic hurricane activity, oceanic biological productivity, and atmospheric circulation in the equatorial Pacific. The tropical Atlantic also connects the southern and northern branches of the Atlantic meridional overturning circulation and receives freshwater input from some of the world's largest rivers. To address these diverse, unique, and interconnected research challenges, a rich network of ocean observations has developed, building on the backbone of the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA). This network has evolved naturally over time and out of necessity in order to address the most important outstanding scientific questions and to improve predictions of tropical Atlantic severe weather and global climate variability and change. The tropical Atlantic observing system is motivated by goals to understand and better predict phenomena such as tropical Atlantic interannual to decadal variability and climate change; multidecadal variability and its links to the meridional overturning circulation; air-sea fluxes of CO2 and their implications for the fate of anthropogenic CO2; the Amazon River plume and its interactions with biogeochemistry, vertical mixing, and hurricanes; the highly productive eastern boundary and equatorial upwelling systems; and oceanic oxygen minimum zones, their impacts on biogeochemical cycles and marine ecosystems, and their feedbacks to climate. Past success of the tropical Atlantic observing system is the result of an international commitment to sustained observations and scientific cooperation, a willingness to evolve with changing research and monitoring needs, and a desire to share data openly with the scientific community and operational centers. The observing system must continue to evolve in order to meet an expanding set of research priorities and operational challenges. This paper discusses the tropical Atlantic observing system, including emerging scientific questions that demand sustained ocean observations, the potential for further integration of the observing system, and the requirements for sustaining and enhancing the tropical Atlantic observing system.
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TL;DR
This review synthesizes societal drivers, scientific drivers, and the existing tropical Atlantic observing system, concluding that sustained and expanded observations are needed for climate prediction, biogeochemistry, ecosystems, and extreme weather. It identifies critical gaps in the current system and provides readiness-level recommendations for future enhancements.
Key findings
Tropical Atlantic variability affects rainfall, hurricanes, biogeochemistry, and ecosystems; examples include the 2005, 2010, and 2017 Atlantic hurricane seasons with 28, 19, and 17 cyclones of at least tropical storm strength, respectively, and eight Atlantic hurricanes since 2005 causing at least $25 billion in damages. The tropical Atlantic releases about 0.10 Pg C yr⁻¹ in the 18°S–18°N region, receives about 25% of global riverine freshwater discharge from the Amazon, Congo, and Orinoco, and yielded approximately 10 million tons of seafood in the Central and South Atlantic in 2016 (from 87.2 million tons of global marine capture production). The observing system has progressed over 20 years, with PIRATA as the backbone (initiated 1997, 18 moorings; T-Flex transition began 2015, with 10 upgraded and eight remaining), complemented by Argo, GO-SHIP, SOOP, surface drifters, boundary current arrays, and satellites. Persistent model biases remain: a cool SST bias in the northern tropical Atlantic can cause a 65% underrepresentation of Atlantic hurricane activity, the Benguela warm SST bias exceeds 2.5°C in the CMIP5 multi-model average, and net surface heat flux standard deviation exceeds 20 W m⁻² across 12 products, with downward heat input overestimated by 5–20 W m⁻².
Methods
Design: review/synthesis paper; no new primary data collection or analysis is described. Data/sample: existing literature and observing system components, including PIRATA, Argo, GO-SHIP, SOOP, surface drifters, boundary current arrays, and satellite observations, with figures and tables summarizing system elements and gaps. Analysis: qualitative synthesis of societal drivers, science drivers, strengths and weaknesses of the current observing system, and expert recommendations with readiness levels.
Limitations
Stated: many open questions remain about tropical Atlantic variability mechanisms, air–sea feedbacks, model biases, and ecosystem/biogeochemical responses; observations are sparse, especially for biogeochemical and biological parameters, the deep ocean, off-equatorial mixing, and the northwestern and southeastern tropical Atlantic. Stated: carbon trends remain unclear because of short records and high natural variability, acidification impacts are poorly known, and coupled model biases have seen little improvement over two decades. Evident from the text: as a review, it does not test hypotheses or provide new empirical results; its recommendations are expert synthesis with readiness levels rather than validated outcomes.
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Claims the paper makes
90 of 228 cited sources checked · 34 supported · 0 flagged · accuracy not yet measured
- Premisecitation
The magnitude of hurricane rapid intensification (increase in maximum wind speed of at least 25 kt in 24 h) has increased in the central and eastern tropical Atlantic since the 1980s.
“The magnitude of hurricane RI (increase in maximum wind speed of at least 25 kt in 24 h) has increased in the central and eastern tropical Atlantic since the 1980s (Balaguru et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Balaguru et al., 2018 source
- Premisecitation
The tropical Atlantic is the second largest source, after the tropical Pacific, of oceanic CO2 to the atmosphere, releasing about 0.10 Pg C yr-1 in the 18°S-18°N region.
“The tropical Atlantic is the second largest source, after the tropical Pacific, of oceanic CO 2 to the atmosphere, releasing about 0.10 Pg C yr -1 in the 18 • S-18 • N region (Landschützer et al., 2014).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Landschützer et al., 2014 source
- Premisecitation
Since the 1970s there has been an upward trend in the year-to-year variability of Amazon River discharge, following a period with no trend during 1904 through the 1960s.
“Since the 1970s there has been an upward trend in the year-to-year variability of Amazon River discharge, following a period with no trend during 1904 through the 1960’s (Satyamurty et al., 2013;Barichivich et al., 2018).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Satyamurty et al., 2013 source
Section 3.2, paragraphs 13–14, reports that the annual range of Negro River water levels at Manaus increased after 1970, with no significant long-range trend from 1904 to the late 1960s. That supports the stated timing, but the measured trend is in the range between high and low water levels, not year-to-year variability of Amazon River discharge. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Barichivich et al., 2018 source
The Results section (page unavailable) reports that severe-flood frequency increased from around 1970, which supports a related increase in hydrological extremes. It does not establish an upward trend in year-to-year discharge variability or a trend-free period from 1904 through the 1960s. The Methods section says the study analyzed water levels rather than deriving discharge estimates. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
During 2005-2008 the Amazon was a net carbon source due to drought-stressed and dying trees, combined with increased occurrence of fires.
“However, during 2005-2008 the Amazon was a net carbon source due to drought-stressed and dying trees, combined with increased occurrence of fires (Zeng et al., 2008;Yang et al., 2018).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Zeng et al., 2008 source
Section 3 (page not provided) reports that fires across the Amazon basin were more than twice as frequent in 2005 as the average of the preceding seven years, and says drought made forests more prone to burning. It does not establish that the Amazon was a net carbon source, attribute carbon emissions to stressed or dying trees, or document those conditions throughout 2005–2008. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Yang et al., 2018 source
The Results (Biomass and carbon changes) report post-2005 carbon losses, a shift to a carbon source in intact southern forests, and emissions from fires. But they do not show an increased occurrence of fires, and the Discussion cautions that the estimated drought-related loss is a decline in the forest carbon sink, not its absolute magnitude. The paper therefore does not establish that the entire Amazon was a net carbon source throughout 2005–2008 for the reasons stated. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Summer equatorial variability associated with the AZM is highly correlated with the next winter's ENSO.
“Summer equatorial variability associated with the AZM is also highly correlated with the next winter's ENSO (Polo et al., 2008;Rodríguez-Fonseca et al., 2009;Ding et al., 2012;Keenlyside et al., 2013;Martín-Rey et al., 2015).”
Quote in the paperNot a substantial claim1 of 3 sources checked
- Premisecitation
Significant trends in tropical Atlantic SST, surface salinity, upper-ocean heat content, winds, cloudiness, and rainfall have emerged in the past decade.
“Significant trends in tropical Atlantic SST, surface salinity, upper-ocean heat content, winds, cloudiness, and rainfall have emerged in the past decade (Tokinaga and Xie, 2011;Durack et al., 2012;Servain et al., 2014).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Tokinaga and Xie, 2011 source
- cites Durack et al., 2012 source
The available indexed passages are UNT Digital Library navigation and bibliographic metadata, with no paper section or page containing the findings. Searches for tropical Atlantic trends and the listed variables found no passage addressing whether significant trends emerged in the past decade. The available copy therefore cannot verify the claim. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites Servain et al., 2014 source
- Premisecitation
A warm phase of the AZM shifts the ITCZ anomalously to the south during June-August, increasing rainfall over the Gulf of Guinea.
“A warm phase of the AZM shifts the intertropical convergence zone (ITCZ) anomalously to the south during June-August, increasing rainfall over the Gulf of Guinea (Figure 4A; Janicot et al., 1998;Okumura and Xie, 2004;Polo et al., 2008;Joly and Voldoire, 2010;Losada et al., 2010;Rodríguez-Fonseca et al., 2011, 2015).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Janicot et al., 1998 source
- cites Okumura and Xie, 2004
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Polo et al., 2008 source
The Introduction (page unavailable) links warm Atlantic conditions to wet years over the Gulf of Guinea and describes increased precipitation south of the ITCZ’s usual latitude. The SST–precipitation coupled modes section (page unavailable) also associates positive equatorial Atlantic SST anomalies with increased summer rainfall along the Gulf of Guinea coast. Our copy does not establish that the warm phase causes the ITCZ itself to shift south specifically during June–August; the paper analyzes June–September rainfall. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Atlantic Multidecadal Variability modulates Sahel rainfall through its control of the Atlantic ITCZ.
“Atlantic Multidecadal Variability (AMV; Kerr, 2000) modulates Sahel rainfall through its control of the Atlantic ITCZ (Knight et al., 2006;Zhang and Delworth, 2006;Mohino et al., 2011;Dieppois et al., 2015).”
Quote in the paperNot a substantial claim1 of 3 sources checked - Premisecitation
There is robust forcing of the tropical Atlantic from the tropical Pacific on interannual and longer timescales.
“There is robust forcing of the tropical Atlantic from the tropical Pacific on interannual and longer timescales (Enfield and Mayer, 1997;Chiang et al., 2002;Villamayor and Mohino, 2015).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Enfield and Mayer, 1997 source
- cites Chiang et al., 2002 source
- cites Villamayor and Mohino, 2015 source
The Results report tropical Atlantic warming associated with the Pacific IPO in observations and simulations, which supports a link on decadal timescales. They also say the response outside the Pacific is less consistent across models; the paper does not establish robust Pacific forcing of the tropical Atlantic on interannual timescales. The robust finding concerns the IPO’s effect on Sahel rainfall. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
In the northwestern tropical Atlantic, the Amazon-Orinoco plume increases salinity stratification, limiting hurricane-induced SST cooling.
“This is especially true in the northwestern tropical Atlantic, where the Amazon-Orinoco plume increases salinity stratification, limiting hurricane-induced SST cooling (Figure 5; Balaguru et al., 2012;Grodsky et al., 2012b;Domingues et al., 2015).”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Balaguru et al., 2012 source
The Analysis reports that Hurricane Omar encountered barrier layers in the Caribbean and that SST cooling was substantially reduced there. The paper also explains that freshwater input can create salinity-related barrier layers, but our copy does not attribute the observed stratification to the Amazon–Orinoco plume or establish the claim specifically for the northwestern tropical Atlantic. The plume appears in a References entry, not in the paper’s account of this mechanism. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Grodsky et al., 2012b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Domingues et al., 2015 source
- Premisecitation
Uncertainties in near-surface air temperature and humidity are the leading sources of uncertainties for satellite-derived products.
“Uncertainties in near-surface air temperature and humidity are the leading sources of uncertainties for satellite-derived products (Prytherch et al., 2015).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Prytherch et al., 2015 source
The Introduction (page not available in our copy) says variation in near-surface humidity fields is the largest source of uncertainty in global marine latent heat flux products. It does not make the same claim about air temperature or satellite-derived products generally. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
Oxygen can drop to zero in closed mesoscale eddy cores in the eastern tropical North Atlantic, substantially lower than the average value of 40 μmol kg-1.
“Oxygen can drop to zero in these eddies (Karstensen et al., 2015), substantially lower than the average value of 40 µmol kg -1 .”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Karstensen et al., 2015 source
The Abstract reports oxygen below 2 µmol kg⁻¹, lowest at eddy centres, and §3.1 describes the measured level as close to the threshold for anoxia—not zero. The Abstract and §3.1 also describe about 40 µmol kg⁻¹ as the region’s usual lower limit, rather than its average. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Interannual variability in the equatorial and eastern boundary circulation due to equatorial and coastally trapped waves defines the propagation characteristics of warm and cold anomalies of the AZM and Benguela Niño.
“Interannual variability in the equatorial and eastern boundary circulation due to equatorial and coastally trapped waves define the propagation characteristics of warm and cold anomalies of the AZM and Benguela Niño (Lübbecke et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Lübbecke et al., 2010 source
Section 3.3.2 (paragraphs 27 and 30) links interannual SST variability and the timing of warm and cold events to equatorial and coastal Kelvin-wave signals. But the Summary and Discussion (paragraphs 41 and 43) also attributes the different timing of Benguela and equatorial anomalies to thermocline depth and seasonal phase-locking; it does not establish that wave-driven circulation variability alone defines their propagation characteristics. Page numbers are unavailable in our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
Observational and modeling studies of the equatorial mixed layer heat balance have demonstrated the importance of vertical turbulent mixing for generating seasonal cooling of SST in the equatorial Atlantic.
“Observational and modeling studies of the equatorial mixed layer heat balance have demonstrated the importance of vertical turbulent mixing for generating seasonal cooling of SST in the equatorial Atlantic (Foltz et al., 2003;Peter et al., 2006).”
Quote in the paperNot a substantial claim1 of 2 sources checked - Premisecitation
In addition to vertical mixing and lateral eddy fluxes, latitudinally alternating zonal jets play a dominant role in the ventilation of the Atlantic OMZs.
“In addition to vertical mixing and lateral eddy fluxes (Fischer et al., 2013;Hahn et al., 2014), latitudinally alternating zonal jets play a dominant role in the ventilation of the Atlantic OMZs (Brandt et al., 2010(Brandt et al., , 2012)).”
Quote in the paperNot a substantial claim1 of 3 sources checked - Premisecitation
Estimation of surface heat fluxes contains uncertainty that hampers the ability to accurately quantify air-sea thermodynamic interactions and heat budgets in the tropical Atlantic.
“The estimation contains uncertainty, which hampers our ability to accurately quantify air-sea thermodynamic interactions and heat budgets in the tropical Atlantic (Frankignoul and Kestenare, 2005;Pinker et al., 2014;Bentamy et al., 2017).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Frankignoul and Kestenare, 2005 source
Section 2, “The data” (page unavailable), describes noisy observations, model biases in surface heat fluxes, and discrepancies between datasets. Section 6, “Summary and conclusions” (page unavailable), cautions that model biases and inadequate algorithms may affect the results. These passages support uncertainty in flux-based estimates, but the paper does not specifically say that this hampers accurate quantification of tropical Atlantic heat budgets. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Pinker et al., 2014 source
- cites Bentamy et al., 2017 source
The Introduction (page unavailable) says surface-flux products have biases and uncertainties and links flux accuracy to air–sea interaction studies and heat-budget closure. The Statistical Results (page unavailable) report discrepancies in tropical regions, but the passages do not establish the specific effect on quantifying heat budgets in the tropical Atlantic. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
For reanalysis fluxes, there are major uncertainties in tropical shortwave and longwave radiation associated with long-standing problems of parameterizing tropical convective clouds and low-altitude stratocumulus clouds in reanalysis models.
“For reanalysis fluxes, there are major uncertainties in tropical shortwave and longwave radiation associated with the long-standing problems of parameterizing tropical convective clouds and low-altitude stratocumulus clouds in reanalysis models (Trolliet et al., 2018).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Trolliet et al., 2018 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Premisecitation
About 30% of the oxygen consumed in the OMZs of the eastern tropical Atlantic is replenished by interior ocean mixing processes sustained through internal wave-wave interaction.
“Nevertheless, about 30% of the oxygen consumed in the OMZs of the eastern tropical Atlantic is replenished by interior ocean mixing processes sustained through internal wave-wave interaction (Brandt et al., 2015).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Brandt et al., 2015 source
The Abstract and §9 (Summary and discussion; page not provided) say vertical mixing supplies about 20% of the oxygen needed to balance consumption in the deep eastern tropical North Atlantic OMZ, reaching about 30% only locally. The claim generalizes that local figure to the region’s OMZs. The paper does not identify internal wave–wave interaction as the process sustaining that interior mixing; §6.3 instead discusses internal waves enhanced by tide–topography interaction at the continental margin. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
On intraseasonal timescales, variability in the equatorial Atlantic is dominated by TIWs in the western and central part and by wind-driven waves in the east.
“On intraseasonal timescales, variability in the equatorial Atlantic is dominated by TIWs in the western and central part and by wind-driven waves in the east (Athie and Marin, 2008).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Athie and Marin, 2008 source
- Premisecitation
Direct measurements of the surface heat flux have proven valuable for diagnosing air-sea coupling in the southwestern tropical Atlantic near the Brazilian coast.
“Direct measurements of the surface heat flux have also proven valuable for diagnosing air-sea coupling in the southwestern tropical Atlantic near the Brazilian coast (Chaves and Nobre, 2004;De Almeida et al., 2007).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Chaves and Nobre, 2004 source
The Methodology (§2, ¶9) says the study used model-generated and parameterized surface heat fluxes; the AGCM Experiments (§3.1, ¶11) use those heat budgets to examine ocean–atmosphere interaction in the western South Atlantic. This supports the value of heat-flux analysis, but not the claim that direct measurements proved valuable near the Brazilian coast. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites De Almeida et al., 2007 source
- Premisecitation
There is evidence that mesoscale ocean dynamics significantly affect the tropical Atlantic Ocean and overlying atmospheric variability across a large range of time scales from daily to interannual and interdecadal.
“Moreover, there is evidence that mesoscale ocean dynamics significantly affect the tropical Atlantic Ocean and overlying atmospheric variability across a large range of time scales from daily to interannual and interdecadal (Seo et al., 2007;Chelton and Xie, 2010).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Seo et al., 2007 source
The Abstract and §4 (Summary and discussion; page numbers unavailable) support an effect of tropical Atlantic instability waves on ocean currents, wind stress and atmospheric variability at short time scales. Section 4 describes longer-term effects as possible and says they require much longer simulations; it does not establish significant effects across interannual and interdecadal time scales. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Chelton and Xie, 2010 source
The paper’s opening section (p. 52) describes mesoscale sea-surface-temperature effects on winds and feedback on ocean temperature, and its Summary and Conclusions includes Atlantic tropical-instability-wave regions. It does not establish the claimed daily-to-interannual-and-interdecadal range for tropical Atlantic oceanic and atmospheric variability; the Introduction instead describes wind responses most clearly seen over weeks and persisting for a month or longer. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Hurricane-permitting global climate model simulations tend to overpredict hurricane activity if oceanic feedbacks are neglected.
“Hurricane-permitting global climate model simulations are becoming increasingly feasible (Patricola et al., 2014;Wehner et al., 2014;Walsh et al., 2015;Haarsma et al., 2016), but tend to overpredict hurricane activity if oceanic feedbacks are neglected (Zarzycki, 2016;Li and Sriver, 2018).”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
Poor representation of the AZM in many models appears related to the under-representation of the thermocline feedback associated with an overly deep mixed layer and too weak upwelling in the eastern Atlantic.
“Poor representation of the AZM in many models appears related to the under-representation of the thermocline feedback associated with an overly deep mixed layer and too weak upwelling in the eastern Atlantic (Ding et al., 2015a,b;Deppenmeier et al., 2016;Dippe et al., 2018;Jouanno et al., 2017).”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Ding et al., 2015a,b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Deppenmeier et al., 2016 source
Section 4.3 (page unavailable) reports that models generally underestimate the influence of subsurface heat-content anomalies on eastern Atlantic SST, and the Conclusion links poor representation of that feedback to erroneous vertical oceanic stratification. The paper does not establish an overly deep mixed layer or too-weak eastern Atlantic upwelling as the causes; the Conclusion says the subsurface errors could arise from ocean mixing and/or atmospheric forcing. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Dippe et al., 2018 source
The Introduction says biased simulations have a deeper thermocline and strongly reduced upwelling in the cold-tongue region, making the Atlantic Niño difficult to reproduce. Section 6 links the model bias to impaired feedback, but identifies the KCM’s main problem as the SST–wind relationship. The paper does not attribute that impairment to an overly deep mixed layer; thermocline depth is not mixed-layer depth. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Many data products poorly represent the atmospheric and oceanic circulations in the Benguela region.
“Many data products poorly represent the atmospheric and oceanic circulations in the region (Large and Yeager, 2008;Patricola and Chang, 2017;Tchipalanga et al., 2018), underscoring the need for updated products at higher resolution.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Large and Yeager, 2008 source
- cites Patricola and Chang, 2017 source
- cites Tchipalanga et al., 2018 source
The Summary and Discussion (page not available) reports substantial biases in simulated ocean-current velocity structures and upwelling strength, as well as large salinity biases in several ocean reanalysis products. It does not establish that data products also poorly represent atmospheric circulation in the Benguela region. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
The large-scale meteorology that affects low clouds in the southeastern tropical Atlantic is influenced by strong coupling between the Atlantic basin and neighboring continents.
“The large-scale meteorology that affects low clouds in this region is influenced by strong coupling between the Atlantic basin and neighboring continents (Adebiyi et al., 2015;Adebiyi and Zuidema, 2016).”
Quote in the paperNot a substantial claim1 of 2 sources checked - Premisecitation
Based on reliable SST observations, the Angola current and the associated ABF are placed too far south in GCMs by about 10° of latitude.
“Based on reliable SST observations, we know that the Angola current and the associated ABF are placed too far south in GCMs by about 10 • of latitude (Xu et al., 2014a;Koseki et al., 2018).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Xu et al., 2014a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Koseki et al., 2018 source
Section 2.2 reports that the observed Angola and Benguela currents meet near 15°S, while NorESM places the front at 24°S—roughly 9° too far south—and simulates a stronger southward Angola Current. This supports the approximate displacement for NorESM, but not the claim that GCMs generally displace the current and front by about 10°. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
The assumption that OMZs strengthen the biological carbon pump does not account for intense microbial activity, which may foster organic matter degradation or remineralisation.
“This assumption does not account for the intense microbial activity, which may foster OM degradation or remineralisation (Bretagnon et al., 2018).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Bretagnon et al., 2018 source
- Premisecitation
Water mass observations over the full water column have been shown to improve reanalysis fields locally by several units in temperature and salinity.
“From an uncoupled ocean perspective, there is also a strong impact from water mass observations over the full water column, which have been shown to improve reanalysis fields locally by several units in temperature and salinity (Oke et al., 2015;Turpin et al., 2016;Gasparin et al., 2018).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Oke et al., 2015 source
- cites Turpin et al., 2016 source
The Conclusion reports that assimilating Argo observations improves temperature and salinity analyses and reduces observation–forecast differences; §3.1 finds locally substantial effects. But the study covers profiles from the surface to 2000 m, not the full water column, and its reported differences are around 1 °C and tenths of a psu, not several units of both temperature and salinity. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Gasparin et al., 2018 source
- Premisecitation
The impact of surface pressure is one order of magnitude larger than the impact of wind measured on the same PIRATA buoys.
“For instance, the impact of surface pressure is one order of magnitude larger than the impact of wind measured on the same buoys.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Poli (2018) source
The Data and methodology passage (p. 2) identifies PIRATA buoys with barometers and buoys for which only wind observations were assimilated. The available Results passage discusses forecast impact but stops before any pressure-versus-wind comparison. Searches for the claimed order-of-magnitude difference and pressure-to-wind impact ratio found no passage that establishes it. (LLM, conf=0.70)
Experimental — accuracy not yet measured
- Premisecitation
The assimilation of PIRATA data was found to improve significantly the intraseasonal variability of upper-ocean temperature.
“The assimilation of PIRATA data was also found to improve significantly the intraseasonal variability of upper-ocean temperature (Belyaev et al., 2001), while the impact on seasonal to longer-range prediction systems needs to be investigated and quantified in more detail.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Belyaev et al., 2001 source
- Premisecitation
Poli (2018) showed that surface pressure measurements from PIRATA buoys have a higher positive impact per datum than many other types of observations.
“From a NWP perspective, Poli (2018) analyzed the impact of observations on the ECMWF operational data assimilation scheme and showed that surface pressure measurements from PIRATA buoys have a higher positive impact per datum than many other types of observations (satellite, upper-air, land surface, or sea surface other than buoys).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Poli (2018) source
The Introduction (pp. 1–2) says Poli analyzed PIRATA observations in ECMWF’s operational system. The Results say sea-surface observations had a larger share of forecast improvement than their share of observation counts, but the available passage does not establish that PIRATA surface-pressure measurements had a higher positive impact per datum than the listed observation types. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
Interannual variability of air-sea CO2 fluxes is closely linked to climate variability.
“Interannual variability of air-sea CO 2 fluxes is closely linked to climate variability (Lefèvre et al., 2013;Ibánhez et al., 2017).”
Quote in the paperSubstantial claim2 of 2 sources checked - Premisecitation
Turbulent surface fluxes often overcompensate for the enhanced shortwave warming.
“One is that the turbulent surface fluxes often overcompensate for the enhanced shortwave warming (de Szoeke et al., 2010).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites de Szoeke et al., 2010 source
Section 6 reports excessive turbulent-flux cooling in the models, balanced against excess radiative warming and insufficient oceanic cooling. The Summary says excess evaporation is about 40 W m⁻² versus about 20 W m⁻² of net excess radiation after longwave compensation. This supports overcompensation of net radiative warming, but does not establish that turbulent fluxes often exceed the enhanced shortwave warming alone. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Based on oxygen observations from repeat ship sections in the OMZ of the eastern tropical North Atlantic for the recent decade (2006-2015), Hahn et al. (2017) suggested the existence of strong oxygen variations over this decade superimposed on the multi-decadal deoxygenation pattern.
“Based on oxygen observations from repeat ship sections in the OMZ of the eastern tropical North Atlantic for the recent decade (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015), Hahn et al. (2017) suggested the existence of strong oxygen variations over this decade that are superimposed on the multi-decadal deoxygenation pattern (Stramma et al., 2009;Brandt et al., 2015;Santos et al., 2”
Quote in the paperSubstantial claim3 of 3 sources checked - Premisecitation
In the eastern tropical Atlantic, estimates of the biological pump and its dependence on oxygen availability are complicated by the presence of mesoscale eddies, which contain shallow (40-100 m) suboxic environments.
“In the eastern tropical Atlantic, estimates of the biological pump and its dependence on oxygen availability are complicated by the presence of mesoscale eddies, which contain shallow (40-100 m) suboxic environments (Karstensen et al., 2015).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Karstensen et al., 2015 source
The Introduction reports extremely low oxygen in mesoscale eddies in the eastern tropical North Atlantic, and §3.1 places one low-oxygen eddy core around 70 m depth. Section 3.4 links sinking particles to oxygen consumption, but does not establish that eddies complicate estimates of the biological pump or its dependence on oxygen availability; it says the available data cannot be used to estimate productivity. Page numbers were not provided in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
In models, interannual variations of temperature, nitrate, and oxygen concentrations along the southwestern coast of Africa are primarily controlled by oceanic teleconnections associated with equatorial wave variability and along-shore water mass transport.
“In models, interannual variations of temperature, nitrate, and oxygen concentrations along the southwestern coast of Africa are primarily controlled by oceanic teleconnections associated with equatorial wave variability and along-shore water mass transport (Mohrholz et al., 2008;Bachèlery, 2016;Bachèlery et al., 2016a,b;Koungue et al., 2017).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Mohrholz et al., 2008 source
- cites Bachèlery, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Koungue et al., 2017 source
The Introduction reports modeling results in which equatorial remote forcing explains more than 80% of interannual coastal sea-surface temperature, nitrate, and oxygen variability. The Summary, Discussion, and Conclusions discusses advection of water masses but says its importance at interannual timescales is difficult to assess; it does not establish along-shore transport as a primary control. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
The number of measurements of fCO2 increased from about 0.3 million per year during 1995-2000 to 1.1 million per year during 2005-2012.
“The number of measurements of fCO 2 increased from about 0.3 million per year during 1995-2000 to 1.1 million per year during 2005-2012 (Bakker et al., 2016).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Bakker et al., 2016 source
- Premisecitation
An array of four velocity moorings has been installed at the Brazilian continental slope along 11S from 2000 to 2004 and since 2013, measuring the shallow and DWBC.
“An array consisting of four velocity moorings has been installed at the Brazilian continental slope along 11 • S from 2000 to 2004 and since 2013, measuring the shallow and DWBC (Schott et al., 2005;Hummels et al., 2015).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Schott et al., 2005 source
The moored-array observations section reports measurements near 11°S from 2000 to 2004, covering shallow flow and the deep western boundary current. It says the array initially had five moorings; four were deployed from 2002 to 2004. This 2005 paper does not document the installation since 2013 mentioned in the jointly cited sentence. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites Hummels et al., 2015 source
- Findingown data
The spread in net surface heat flux mean values is large across the entire tropical basin, with standard deviation greater than 20 W m-2 based on 12 different products.
“The spread in net surface heat flux (Q net ) mean values is large across the entire tropical basin (standard deviation > 20 W m -2 based on 12 different products; Figure 7).”
Quote in the paperSubstantial claim - Findingnone given
In the tropical Atlantic away from the equatorial cold tongue, the standard deviation of Qnet is as large as the ensemble-mean Qnet.
“In the tropical Atlantic away from the equatorial cold tongue, the standard deviation of Q net is as large as the ensemble-mean Q net .”
Quote in the paperNot a substantial claim - Findingreasoning
In the RT-ORA-IP exercise, heat content anomalies close to the mouth of the Amazon show strong disagreement due to large differences in river discharge applied in different reanalyses and associated resultant differences in local ocean circulation.
“For example, the RT-ORA-IP exercise illustrates that in spite of a reasonably well captured thermocline structure along the equatorial band, heat content anomalies close to the mouth of the Amazon show strong disagreement due to large differences in river discharge applied in the different reanalyses and the associated resultant differences in local ocean circulation.”
Quote in the paperSubstantial claim - Findingown data
The RT-ORA-IP project shows that overall, in the equatorial Atlantic, the agreement between reanalyses is often reasonable.
“This project has been expanded to cover the tropical Atlantic and shows that overall, in the equatorial Atlantic the agreement between reanalyses is often reasonable.”
Quote in the paperSubstantial claim - Findingcitation
Locally, the spread between reanalysis estimates can reach 2°C in the thermocline.
“However, locally the spread between estimates can reach 2 • C in the thermocline 7 .”
Quote in the paperNot a substantial claim - Findingcitation
There are large disparities between off-equatorial winds measured directly by PIRATA and estimated by satellites and model-based reanalyses.
“Furthermore, there are large disparities between offequatorial winds measured directly by PIRATA and estimated by satellites and model-based reanalyses (Bentamy and Fillon, 2012), emphasizing the importance of maintaining the long records from all PIRATA moorings.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bentamy and Fillon, 2012 source
- Findingnone given
The array in the tropical Atlantic has averaged 92 drifters since 1998.
“1998, the array in the tropical Atlantic has averaged 92 drifters, and since 2005 drifter measurements have been approximately hourly.”
Quote in the paperNot a substantial claim - Premisecitation
Through its impacts on soil moisture, vegetation, and albedo, the rainfall received during a given year affects the likelihood of drought the following year, acting to enhance decadal-multidecadal variations of Sahel rainfall.
“Through its impacts on soil moisture, vegetation, and albedo, the rainfall received during a given year affects the likelihood of drought the following year, acting to enhance decadal-multidecadal variations of Sahel rainfall (Zeng et al., 1999).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zeng et al., 1999 source
- Premisecitation
During 2011-2016, Northeast Brazil experienced its most severe and prolonged drought since 1981.
“During 2011-2016, Northeast Brazil experienced its most severe and prolonged drought since 1981 (Brito et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brito et al., 2018 source
- Premisecitation
There have been marked changes in Atlantic land-falling TCs in the past several decades.
“There have been marked changes in Atlantic land-falling TCs in the past several decades (Wang et al., 2011;Kossin, 2017).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
There are indications that TC activity and intensification before landfall may be increasing in the Atlantic due to global warming.
“There are indications that TC activity and intensification before landfall may be increasing in the Atlantic due to global warming (Emanuel, 2005(Emanuel, , 2017;;Webster et al., 2005;Elsner et al., 2008).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
There is significant external forcing of TAV from ENSO, the North Atlantic Oscillation, and the South Atlantic Anticyclone.
“There is also significant external forcing of TAV from ENSO, the North Atlantic Oscillation, and the South Atlantic Anticyclone (Enfield and Mayer, 1997;Czaja et al., 2002;Chang et al., 2006;Illig and Dewitte, 2006;Lübbecke et al., 2010;Lübbecke and McPhaden, 2012).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
TAV involves coupled ocean-atmosphere processes and their interactions, most notably, fluctuations of the trade winds, SST, and rainfall.
“TAV involves coupled ocean-atmosphere processes and their interactions, most notably, fluctuations of the trade winds, SST, and rainfall (Figure 3; Xie and Carton, 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Xie and Carton, 2004
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Threats to marine life from plastic are primarily mechanical, due to ingestion of plastics and entanglement.
“Their threats to marine life are primarily mechanical, due to ingestion of plastics and entanglement (Derraik, 2002).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Derraik, 2002 source
- Premisecitation
The shorter period of EDJs in the Atlantic compared to the Pacific, combined with the strong and shallow EUC in the eastern equatorial Atlantic, enables EDJs to influence interannual climate variability in the Atlantic.
“The shorter period of EDJs in the Atlantic compared to the Pacific, combined with the strong and shallow EUC in the eastern equatorial Atlantic, enables EDJs to influence interannual climate variability in the Atlantic (Brandt et al., 2011b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brandt et al., 2011b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
For satellite fluxes, major uncertainties are related to turbulent bulk flux parameterization schemes and satellite retrieval algorithms.
“For satellite fluxes, major uncertainties are related to turbulent bulk flux parameterization schemes and also satellite retrieval algorithms.”
Quote in the paperNot a substantial claim - Premisenone given
NBC rings interact with the Amazon and Orinoco river plumes, modifying barrier layers and thus affecting TC intensification.
“NBC rings interact with the Amazon and Orinoco river plumes, modifying barrier layers and thus affecting TC intensification.”
Quote in the paperNot a substantial claim - Premisecitation
Turbulent mixing in the upper thermocline above the upper continental slopes and shelves of the eastern boundary upwelling regions is a dominant process bringing colder, nutrient-rich water from the deeper ocean to the surface mixed layer.
“Turbulent mixing in the upper thermocline above the upper continental slopes and shelves of the eastern boundary upwelling regions is a dominant process bringing colder, nutrient-rich water from the deeper ocean to the surface mixed layer.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schafstall et al., 2010 source
- Premisecitation
All Qnet products have problems achieving a balanced energy budget at the ocean surface, with an overestimation of the downward heat input to the ocean ranging from 5 to 20 W m-2.
“All Q net products have problems achieving a balanced energy budget at the ocean surface, with an overestimation of the downward heat input to the ocean ranging from 5 to 20 W m -2 (Yu, 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yu, 2019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Persistent coupled climate model biases exacerbate the difficulty of predicting tropical Atlantic climate.
“Predicting tropical Atlantic climate is challenging, and the difficulty is exacerbated by persistent coupled climate model biases.”
Quote in the paperSubstantial claim - Premisecitation
At the equator, EDJs contribute to the ventilation of the eastern basin.
“At the equator, EDJs contribute to the ventilation of the eastern basin (Brandt et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brandt et al., 2012 source
- Premisecitation
Mixing is enhanced due to tide-topography interaction that largely sustains the elevated productivity in the Atlantic's eastern boundary upwelling regions.
“Mixing is enhanced due to tide-topography interaction that largely sustains the elevated productivity in the Atlantic's eastern boundary upwelling regions (Schafstall et al., 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schafstall et al., 2010 source
- Premisecitation
The strength of the EUC undergoes a strong seasonal cycle in response to wind forcing.
“The strength of the EUC undergoes a strong seasonal cycle in response to wind forcing (Johns et al., 2014;Brandt et al., 2016).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Some uncertainty remains in the actual near-coastal wind-stress curl, owing to the lack of reliable satellite data and atmospheric observations near land.
“Some uncertainty remains in the actual near-coastal wind-stress curl, owing to the lack of reliable satellite data and atmospheric observations near land (Desbiolles et al., 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Desbiolles et al., 2016 source
- Premisecitation
Predicting the AZM is particularly challenging, with dynamical forecasts often matched or even outperformed by persistence forecasts.
“Predicting the AZM is particularly challenging, with dynamical forecasts often matched or even outperformed by persistence forecasts (Stockdale et al., 2006;Richter et al., 2017).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Even the theory underpinning the existence of the Angola current is not completely settled.
“As a consequence, even the theory underpinning the existence of the Angola current is not completely settled (Junker et al., 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Junker et al., 2015 source
- Premisecitation
One contribution to the insufficient cold tongue development in models is the equatorial westerly wind bias in March-May, which deepens the thermocline and inhibits cooling during the subsequent June-August upwelling season.
“One contribution to the insufficient cold tongue development in models is the equatorial westerly wind bias in March-May (Figure 9), which deepens the thermocline and inhibits cooling during the subsequent June-August upwelling season (Richter and Xie, 2008;Richter et al., 2012).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
The tropical Atlantic biases weaken the Atlantic's global impact in models.
“The tropical Atlantic biases weaken the Atlantic's global impact in models (McGregor et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McGregor et al., 2018 source
- Premisecitation
The cool SST bias in the northern tropical Atlantic, common to coupled models, can cause a 65% underrepresentation of Atlantic hurricane activity.
“However, the cool SST bias in the northern tropical Atlantic, common to coupled models (Richter, 2015;Zuidema et al., 2016b), can cause a 65% underrepresentation of Atlantic hurricane activity (Hsu et al., 2019).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hsu et al., 2019 source
- Premisecitation
One common attribution of the warm SST biases in the Southeast Atlantic is an under-representation of the marine stratocumulus deck, which then allows too much sunlight to reach the ocean surface.
“One common attribution of the warm SST biases in the Southeast Atlantic is an under-representation of the marine stratocumulus deck, which then allows too much sunlight to reach the ocean surface.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Klein and Hartmann, 1993
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Huang et al., 2007 source
- cites Hu et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Ecosystem models have rarely included quantitative approaches to optimize population dynamics parameters.
“Conversely, ecosystem models have rarely included such quantitative approaches.”
Quote in the paperNot a substantial claim - Premisecitation
Busalacchi (1996) showed that the direct assimilation of sea level and thermocline depth observations improves the upper-ocean structure in the equatorial Atlantic.
“For instance, Busalacchi (1996) showed that the direct assimilation of sea level and thermocline depth observations improves the upperocean structure in the equatorial Atlantic.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Busalacchi (1996) source
- Premisecitation
Ocean warming and the related solubility effect are responsible for about half of the multi-decadal oxygen decline in the upper 1200 m.
“Ocean warming and the related solubility effect are responsible for about half of the multi-decadal oxygen decline in the upper 1200 m (Schmidtko et al., 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schmidtko et al., 2017 source
- Premisecitation
The cause of parameterization biases is often model specific.
“The cause of parameterization biases is often model specific (Medeiros et al., 2012), and ongoing observations of the boundary layer thermodynamic structure and its cloud, precipitation, and aerosol vertical structure, including the diurnal cycle, are needed for continued model improvement.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Medeiros et al., 2012 source
- Premisecitation
These difficulties often result from extensions of geostrophic balance using empirical approximations.
“These difficulties often result from extensions of geostrophic balance using empirical approximations (e.g., Weaver et al., 2005).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Weaver et al., 2005 source
- Premisenone given
Dedicated experiments suggest that assimilation of biogeochemical Argo data will complement satellite surface color data by improving model estimates of oxygen, nutrients, carbon, and chlorophyll throughout the water column.
“While data assimilation techniques and OSSEs are less mature for biogeochemical observations, dedicated experiments suggest that assimilation of biogeochemical Argo data will complement satellite surface color data by improving model estimates of oxygen, nutrients, carbon, and chlorophyll throughout the water column.”
Quote in the paperSubstantial claim - Premisecitation
Satellite scatterometer, altimeter, and synthetic aperture radar data are providing valuable assimilation constraints for wind and sea-state forecasts by NWP systems.
“However, satellite scatterometer, altimeter, and synthetic aperture radar data are providing valuable assimilation constraints for wind and sea-state forecasts by NWP systems (Isaksen and Janssen, 2004;Dragani et al., 2015).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisereasoning
Uncertainties in ocean reanalyses are largest in the northwestern and southeastern tropical Atlantic due to sparse observations, large model errors and uncertainties in river run-off as well as air-sea heat, moisture, and momentum fluxes.
“Uncertainties in ocean reanalyses are largest in these regions due to sparse observations, large model errors and uncertainties in river run-off as well as air-sea heat, moisture, and momentum fluxes.”
Quote in the paperSubstantial claim - Premisereasoning
Most data assimilation systems suffer from overly simplistic balance formulations close to the equator that may jeopardize the assimilation of local observations.
“Most data assimilation systems also suffer from overly simplistic balance (crosscovariance) formulations close to the equator that may jeopardize the assimilation of local observations.”
Quote in the paperNot a substantial claim - Premisenone given
Observational datasets of boundary layer thermodynamic structure and cloud, precipitation, and aerosol vertical structure remain sparse for the Southeast Atlantic.
“Such observational datasets remain sparse for the Southeast Atlantic.”
Quote in the paperSubstantial claim - Premisecitation
Even for AMIP simulations in which the SST is specified, the cloud radiative effect on the surface is still underestimated, with bias reductions of only about 25%.
“The other is that even for AMIP simulations in which the SST is specified, the cloud radiative effect on the surface is still underestimated, with bias reductions of only ∼25% (Zuidema et al., 2016a).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Zuidema et al., 2016a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationnone given
No long-term measurements of horizontal velocity, vertical shear, and turbulent mixing exist in the tropical Atlantic outside the equatorial band.
“However, no long-term measurements of horizontal velocity, vertical shear, and turbulent mixing exist in the tropical Atlantic outside the equatorial band (Figure 6).”
Quote in the paperSubstantial claim - Premisereasoning
For winds less than about 3 m/s or greater than 20 m/s, scatterometer uncertainties are generally larger.
“For winds less than about 3 m s -1 or greater than 20 m s -1 , the uncertainties are generally larger.”
Quote in the paperNot a substantial claim - Interpretationcitation
Satellite observations have greatly improved the coverage, resolution, and accuracy of surface buoyancy and momentum flux estimates.
“Satellite observations have greatly improved the coverage, resolution, and accuracy of surface buoyancy and momentum flux estimates (Yu, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yu, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationnone given
Despite significant progress, near-surface humidity and temperature remain the leading source of error in satellite-based surface heat flux products.
“Despite significant progress, these variables remain the leading source of error in satellite-based surface heat flux products.”
Quote in the paperNot a substantial claim - Premisereasoning
The radiation budget at the ocean's surface is not remotely sensed; it is estimated from radiative transfer calculations using satellite-derived TOA irradiance, cloud and aerosol properties, and atmospheric state.
“The radiation budget at the ocean's surface is not remotely sensed.Instead it is estimated from radiative transfer calculations that use satellite-derived TOA irradiance, cloud and aerosol properties, and the atmospheric state from either satellites or reanalysis.”
Quote in the paperNot a substantial claim - Interpretationreasoning
There is a high degree of integration among the various sustained observing components so that weaknesses of some are compensated by strengths of others.
“There is a high degree of integration among the various sustained observing components so that weaknesses of some are compensated by the strengths of others.”
Quote in the paperNot a substantial claim - Interpretationnone given
The vertical spacing of conductivity sensors on most moorings is much too coarse for accurate resolution of the mixed layer and salinity stratification required for heat and salinity budget analyses.
“The vertical spacing of conductivity sensors on most moorings is much too coarse for accurate resolution of the mixed layer and salinity stratification required for heat and salinity budget analyses.”
Quote in the paperNot a substantial claim - Premisereasoning
Because clouds are opaque to infrared radiation, it takes one or two weeks to obtain a complete global SST field from AVHRR.
“Because of the cloud effect, it takes one or two weeks to obtain a complete global SST field from AVHRR even though the satellite orbits the Earth 14 times each day and has a 2399-km-wide swath.”
Quote in the paperNot a substantial claim - Interpretationreasoning
There is a high degree of complementarity between satellite and in situ measurements.
“There is therefore a high degree of complementarity between satellite and in situ measurements.”
Quote in the paperSubstantial claim - Interpretationreasoning
PIRATA moorings do not sample the warm pool region to the west, where there are strong mesoscale eddies, seasonal variations of upper-ocean salinity stratification that affect SST and TCs, and strong multidecadal variations of upper-ocean heat content and SST.
“However, PIRATA moorings do not sample the warm pool region to the west, where there are strong mesoscale eddies (Figure 8), seasonal variations of upperocean salinity stratification that affect SST and TCs, and strong multidecadal variations of upper-ocean heat content and SST (Figure 11).”
Quote in the paperSubstantial claim - Interpretationnone given
Oxygen and fCO2 are not monitored by many elements of the tropical Atlantic observing system.
“Oxygen and f CO 2 are not monitored by many elements of the tropical Atlantic observing system.”
Quote in the paperSubstantial claim - Interpretationnone given
There are very few measurements of surface wave height and spectra in the tropical Atlantic, which are needed to improve forecasts and advance understanding of wave-induced upper-ocean mixing.
“There are very few measurements of surface wave height and spectra in the tropical Atlantic, which are needed to improve forecasts and to advance understanding of wave-induced upper-ocean mixing.”
Quote in the paperNot a substantial claim - Interpretationnone given
A current lack of monitoring of biological variables makes it challenging to determine how ecosystems will cope with changing physical and biogeochemical conditions.
“A current lack of monitoring of biological variables also makes it challenging to determine how ecosystems will cope with changing physical and biogeochemical conditions.”
Quote in the paperSubstantial claim - Interpretationnone given
It is difficult to close the heat and salinity budgets at many PIRATA mooring locations because at present less than half of the moorings have direct measurements of longwave radiation and ocean currents.
“It is difficult to close the heat and salinity budgets at many PIRATA mooring locations because at present less than half of the moorings have direct measurements of longwave radiation and ocean currents.”
Quote in the paperNot a substantial claim - Interpretationreasoning
For PIRATA, the ocean biogeochemistry and ecosystem observation capabilities have not yet been fully explored.
“Thus, for PIRATA the ocean biogeochemistry and ecosystem observation capabilities have not yet been fully explored.”
Quote in the paperNot a substantial claim - Interpretationown data
In general, biogeochemical quantities are severely undersampled compared to many physical parameters, especially in the tropical South Atlantic.
“In general, biogeochemical quantities are severely undersampled compared to many physical parameters, especially in the tropical South Atlantic (Figure 12).”
Quote in the paperSubstantial claim - Interpretationreasoning
The success of the tropical Atlantic observing system depends in part on the maintenance and evolution of the Pacific, Indian, and extratropical North and South Atlantic observing systems.
“Therefore, the success of the tropical Atlantic observing system depends in part on the maintenance and evolution of those observing systems.”
Quote in the paperSubstantial claim- Rests on an assumption: The tropical Atlantic is strongly influenced by conditions in the Pacific and Indian Oceans as well as the extratropical North and South Atlantic.
- May combine two claims. 95
- Classified as probably not a substantial claim. 69
- The quote only partly states this claim. 1
May combine two claims.
PremisecitationRainfall in the Sahel has increased since the 1980s, but has not recovered to pre-drought levels.
“Rainfall in the Sahel has increased since the 1980s, but has not recovered to pre-drought levels (Nicholson et al., 2000;Dong and Sutton, 2015;Berntell et al., 2018).”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Nicholson et al., 2000 source
- cites Dong and Sutton, 2015 source
The Figure S4 caption (page unavailable) compares a Sahel drought period with a later 'recent wetter period,' supporting an increase in rainfall. It says the observed 1951–1963 precipitation value is shown, but the text does not state whether recent rainfall remained below that pre-drought level. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Berntell et al., 2018 source
The Introduction describes a drought in the 1970s and 1980s followed by rainfall recovery. The CRU observations section also reports wet conditions from 2000 onward. Neither passage establishes that rainfall remained below pre-drought levels. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe two record droughts of 2005 and 2010 were regarded as once-in-a-century climate extremes at the times of their occurrences and were linked to anomalous SSTs in the tropical Atlantic.
“The two record droughts of 2005 and 2010 were regarded as “once in a century” climate extremes at the times of their occurrences and were linked to anomalous SSTs in the tropical Atlantic (Figure 1; Marengo et al., 2008;Zeng et al., 2008;Lewis et al., 2011).”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Marengo et al., 2008 source
The Discussion and conclusions (section 6; page unavailable) describe the 2005 drought in southwestern Amazonia as possibly among the most severe in at least 100 years. The Introduction (section 1) links that drought to anomalously warm tropical North Atlantic SSTs. This 2008 paper does not address the 2010 drought, so it cannot support the claim about both events. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites Zeng et al., 2008 source
Section 4 links the 2005 Amazon drought to tropical Atlantic SST anomalies. The paper does not address the 2010 drought or describe either event as “once in a century”; it calls the 2005 drought rare and reports near-record-low streamflows. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites Lewis et al., 2011 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe Amazon floods of 2009 and 2012 were the largest going back several decades and left hundreds of thousands homeless.
“At the other extreme, the Amazon floods of 2009 and 2012 were the largest going back several decades (Satyamurty et al., 2013;Filizola et al., 2014) and left hundreds of thousands homeless.”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationThere is strong evidence linking decadal-multidecadal tropical Atlantic SST variability to hurricane activity, but the drivers of this SST variability are not well known.
“There is also strong evidence linking decadal-multidecadal tropical Atlantic SST variability to hurricane activity (Goldenberg et al., 2001;Latif et al., 2007;Balaguru et al., 2018), but the drivers of this SST variability are not well known (Yang, 1999;Chang et al., 2000;Tanimoto and Xie, 2002;Evan et al., 2011;Booth et al., 2012;Clement et al., 2015).”
Quote in the paperSubstantial claim1 of 3 sources checkedMay combine two claims.
PremisecitationThe frequency of marine heatwaves has increased significantly in the tropical North Atlantic during the past 35 years and is expected to increase further in response to global warming.
“The frequency of marine heatwaves has increased significantly in the tropical North Atlantic during the past 35 years and is expected to increase further in response to global warming (Oliver et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Oliver et al., 2018 source
The Results (‘Marine heatwaves over the satellite record’; page unavailable) report a significant global increase in frequency over 1982–2016 and more moderate increases in the subtropical North Atlantic. The Abstract expects further increases in marine heatwave days under continued global warming. Our copy does not establish a significant frequency increase specifically in the tropical North Atlantic or predict further frequency increases specifically there. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationSince 2011, there has been an increase in the abundance of Sargassum in the western tropical North Atlantic, often resulting in mass beaching events in the Caribbean and also in western Africa and Brazil.
“Since 2011, there has been an increase in the abundance of Sargassum in the western tropical North Atlantic, often resulting in mass “beaching” events in the Caribbean (Wang and Hu, 2017) and also in western Africa and Brazil.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Wang and Hu, 2017 source
May combine two claims.
PremisecitationContaminants from plastic debris may leach into seawater or be ingested by marine organisms, creating a new risk route.
“It has also been shown that contaminants from plastic debris may leach into seawater or be ingested by marine organisms (Romera-Castillo et al., 2018), creating a new risk route.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Romera-Castillo et al., 2018 source
The Introduction (page unavailable) says plastic additives can leach into surrounding water and that marine animals ingest plastic debris. It does not say that animals ingest contaminants from the plastic; the ingestion passage concerns plastic itself. The paper supports the leaching route, but not that specific ingestion route. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe AZM-ENSO relationship is strongest during negative AMV phases, when equatorial Atlantic SST variability is enhanced.
“The AZM-ENSO relationship is strongest during negative AMV phases (Martín-Rey et al., 2014;Polo et al., 2015a), when equatorial Atlantic SST variability is enhanced (Martín-Rey et al., 2018).”
Quote in the paperNot a substantial claim1 of 3 sources checkedMay combine two claims.
PremisecitationThe strength of the TC cold-wake feedback depends on a storm's intensity and translation speed as well as the ocean heat content and salinity structure, which vary regionally and on seasonal to multidecadal timescales.
“The strength of the feedback depends on a storm's intensity and translation speed as well as the ocean heat content and salinity structure, which vary regionally and on seasonal to multidecadal timescales (Shay et al., 2000;Balaguru et al., 2012Balaguru et al., , 2015Balaguru et al., , 2018)).”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Shay et al., 2000 source
- cites Balaguru et al., 2012 source
The Conclusions and Discussion (page unavailable) state that salinity-stratified barrier layers reduce cyclone-induced sea-surface cooling and affect intensification; they also mention interannual-to-decadal variability in barrier-layer conditions. The Methods account for storm intensity and translation speed, but the paper does not establish the claimed dependence of feedback strength on those factors or document seasonal-to-multidecadal variation in ocean heat content and salinity structure. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites Balaguru et al., 2015 source
The Introduction describes SST cooling as a negative feedback on TC intensity, and the Mixing Length Formulation (section 3; page unavailable) makes mixing depend on storm wind speed, translation speed, and ocean stratification. The Results and Discussion describe regional differences, and the Methods use temperature and salinity profiles, but the paper does not establish that the relevant ocean conditions vary on seasonal-to-multidecadal timescales. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe AZM impacts the Indian summer monsoon, altering the ENSO-ISM connection.
“The AZM impacts the Indian summer monsoon (ISM), altering the ENSO-ISM connection (Kucharski et al., 2007(Kucharski et al., , 2008;;Wang et al., 2009;Barimalala et al., 2012Barimalala et al., , 2013)).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Kucharski et al., 2007 source
The section “The role of tropical Atlantic SSTs” reports that Atlantic SST anomalies affect Indian monsoon circulation and reduce the anticorrelation between ENSO and Indian monsoon rainfall. The Discussion and conclusions likewise links south-equatorial Atlantic SST anomalies to a weakened ENSO–monsoon relationship. Neither passage identifies those anomalies specifically as the Atlantic Zonal Mode (AZM), so the AZM-specific attribution is not established by our copy. Page numbers were not supplied. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Wang et al., 2009 source
- cites Barimalala et al., 2012 source
May combine two claims.
PremisecitationClimate models predict increases in wind shear in some portions of the Atlantic hurricane development region, which would act to decrease overall Atlantic storm activity.
“Climate models predict increases in wind shear in some portions of the Atlantic hurricane development region (Latif et al., 2007;Vecchi and Soden, 2007), which would, however, act to decrease overall Atlantic storm activity.”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationIn situ data are crucial for anchoring global efforts to develop a global climate observing system and to discriminate the imbalance in the Earth's radiation budget as the climate warms.
“In situ data are crucial for anchoring global efforts to develop a global climate observing system (Weatherhead et al., 2018) and discriminate the imbalance in the Earth's radiation budget as the climate warms (Kato et al., 2013).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Weatherhead et al., 2018 source
- cites Kato et al., 2013 source
Section 7, “Comparison with surface observations” (page not supplied), uses land-site and buoy measurements to evaluate estimated surface irradiances, supporting a role for in situ data. The Introduction discusses changes in the atmospheric energy budget, but the paper does not establish that in situ data discriminate an imbalance in Earth’s radiation budget as the climate warms. The separate observing-system clause is attributed to Weatherhead et al., not Kato et al. (LLM, conf=0.78)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationRelatively little is known about the vertical structure and seasonality of the poleward Angola current, though data from recently deployed buoys are beginning to shed light on it.
“Relatively little is known about the vertical structure and seasonality of the poleward Angola current (Tchipalanga et al., 2018), though data from recently deployed buoys in the region are beginning to shed some light on this (Kopte et al., 2017).”
Quote in the paperNot a substantial claim2 of 2 sources checkedMay combine two claims.
PremisecitationBecause of the large spatial extent of shortwave-absorbing aerosols, they are capable of influencing the interhemispheric energy balance, the location of the ITCZ, and regional precipitation patterns.
“Because of the large spatial extent of the shortwave-absorbing aerosols, they are capable of influencing the interhemispheric energy balance, the location of the ITCZ, and regional precipitation patterns (Jones et al., 2009;Randles and Ramaswamy, 2010;Sakaeda et al., 2011).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Jones et al., 2009 source
- cites Randles and Ramaswamy, 2010 source
The Results section (page not provided) reports that absorbing biomass-burning aerosols alter circulation and increase precipitation over parts of southern Africa, supporting the regional-precipitation part of the claim. The paper does not establish effects on the interhemispheric energy balance or the location of the ITCZ; searches for those terms found no relevant passage. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Sakaeda et al., 2011 source
May combine two claims.
PremisecitationPositive dust and cloud feedbacks on SST and climate have been established at interannual and decadal timescales in both hemispheres and are capable of amplifying the AMV.
“Positive dust and cloud feedbacks on SST and climate have been established at interannual and decadal timescales in both hemispheres (Evan et al., 2011;Bellomo et al., 2015;Myers et al., 2018) and are capable of amplifying the AMV (Bellomo et al., 2016;Yuan et al., 2016).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites Evan et al., 2011 source
- cites Bellomo et al., 2015 source
The Summary (page unavailable) reports that positive low-level cloud feedback over the Namibian region enhances simulated Atlantic Niño variability, supporting the cloud-feedback part of the first clause. It does not establish positive dust feedbacks or cloud feedbacks at both interannual and decadal timescales in both hemispheres; the Introduction says the relationship between North and South Atlantic variability remains unclear. The sentence cites other papers, not Bellomo et al. (2015), for the separate AMV-amplification clause. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Myers et al., 2018 source
May combine two claims.
PremisecitationWhile most prediction models drop well below an anomaly correlation coefficient of 0.55 by lead month 3, some promising systems show skill in predicting the AZM in summer when initialized on May 1.
“While most prediction models drop well below that by lead month 3 (Richter et al., 2017), some promising systems show skill in predicting the AZM in summer when initialized on May 1 (Prodhomme et al., 2016).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Richter et al., 2017 source
- cites Prodhomme et al., 2016 source
The Bias and Bias Correction section describes June–August forecasts initialized in May, matching the timing attributed to this source. But the copy does not report skill in predicting the AZM; the Conclusions instead discuss deteriorated tropical Atlantic SST skill in the higher-resolution runs. The lead-month-3 comparison is attached to Richter et al., not this citation. (LLM, conf=0.78)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe equatorial westerly wind bias may be linked to the erroneous southward shift in the Atlantic ITCZ, also present in atmosphere-only simulations, and to misrepresentation of convective momentum transport in the lower troposphere.
“It may be linked to the erroneous southward shift in the Atlantic ITCZ, which is also present in atmosphere-only simulations (Figure 9B; Richter et al., 2014b), and the misrepresentation of convective momentum transport in the lower troposphere (Zermeño-Diaz and Zhang, 2013;Richter et al., 2014b).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Richter et al., 2014b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Zermeño-Diaz and Zhang, 2013 source
Section 5 (Momentum entrainment; page not available) links the westerly bias to insufficient downward transport of easterly momentum from the lower troposphere into the boundary layer. It does not identify that transport specifically as convective momentum transport. The ITCZ-shift clause is separately cited to Richter et al. (2014b), so it is not assessed against this source. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThere are two main causes of model errors in the Benguela region: equatorial biases and errors in local winds, especially the Benguela Jet and the Benguela Current.
“There are two main causes of the model errors in this region: (1) equatorial biases (Rouault et al., 2007), and (2) errors in local winds, especially the Benguela Jet (Xu et al., 2014a;Koseki et al., 2018;Voldoire et al., 2019) and the Benguela Current (Grodsky et al., 2012a;Muñoz et al., 2012).”
Quote in the paperNot a substantial claim1 of 3 sources checkedMay combine two claims.
FindingcitationTemperature and salinity errors were reduced by 5-10% in the upper 2000 m with an enhancement of Argo sampling in equatorial regions and by around 20-30% in the deep ocean due to the implementation of deep Argo.
“Temperature and salinity errors were reduced by 5-10% in the upper 2000 m with an enhancement of Argo sampling in equatorial regions and by around 20-30% in the deep ocean due to the implementation of deep Argo (Gasparin et al., 2019).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Gasparin et al., 2019 source
The 'Doubling Argo in the WBC and Along the Equator' section reports a 5–10% reduction in temperature and salinity error across the Atlantic in the upper 2,000 m. 'Implementing a Deep Argo Array' reports an average improvement of 20% below 2,000 m, not a 20–30% reduction; its 20–30% figure is the standard deviation across systems. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationMechanisms responsible for the other half of the multi-decadal oxygen decline are unclear and are likely related to changes in ventilation and circulation, though changes in biological activity cannot be ruled out.
“Mechanisms that are responsible for the other half are unclear and are likely related to changes in ventilation and circulation (Brandt et al., 2015;Oschlies et al., 2018), though changes in biological activity cannot be ruled out.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Brandt et al., 2015 source
Section 7 (Long-term variability in ETNA OMZ) says the driving mechanisms of observed deoxygenation remain uncertain and discusses circulation, mixing, and biogeochemical oxygen consumption. Section 9 (Summary and discussion) identifies circulation changes as a likely contributor to the regional decline. The paper does not attribute a specific ‘other half’ of the multidecadal decline to these mechanisms; its quantitative statement instead concerns an imbalance equal to about 10% of oxygen consumption. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Oschlies et al., 2018 source
May combine two claims.
PremisecitationAcidification has been examined at the 6°S, 10°W moored pCO2 site, though the record is not long enough to detect any increase in CO2 or decrease in pH given the strong natural variability of CO2.
“Acidification has been examined at this site, though the record is not long enough to detect any increase in CO 2 (or decrease of pH) given the strong natural variability of CO 2 (Lefevre et al., 2016).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Lefevre et al., 2016 source
May combine two claims.
PremisecitationInside the eddies' cores, oxygen consumption can be an order of magnitude higher than the average values for the North Atlantic, and the downward flux of organic matter exceeds typical values found in the open ocean.
“Inside the eddies' cores, oxygen consumption can be an order of magnitude higher than the average values for the North Atlantic, and the downward flux of organic matter exceeds typical values found in the open ocean (Fiedler et al., 2016).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Fiedler et al., 2016 source
May combine two claims.
PremisecitationEven when the CMIP surface radiative forcing is correct, the cloud cover is still typically too low, likely due to an underestimation of optically thin stratiform clouds.
“Even when the CMIP surface radiative forcing is correct, the cloud cover is still typically too low (de Szoeke et al., 2012), likely due to an underestimation of optically thin stratiform clouds (Nam et al., 2012;Zuidema et al., 2012;Delgadillo et al., 2018;Wood et al., 2018).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites de Szoeke et al., 2012 source
The supplied copy’s Introduction, Model and experiments, and Conclusions and discussion sections concern Atlantic overturning circulation, not stratocumulus clouds. Searches for low cloud cover despite correct surface radiative forcing and for eastern Pacific stratocumulus returned no relevant passage. The copy therefore cannot verify the part attributed to de Szoeke et al.; the optically thin cloud explanation is cited to other works. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites Nam et al., 2012 source
The Conclusion and Discussion (§6, paragraph 20; page unavailable) reports that CMIP5 models underestimate tropical low-cloud cover and overestimate low-cloud optical thickness. It does not identify an underestimation of optically thin stratiform clouds as the likely cause. The preceding statement about surface radiative forcing is cited to a different source, not Nam et al. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Zuidema et al., 2012 source
The Conclusions report that thin clouds were frequent in the observed southeast Pacific dataset. Section 5.4 discusses thin clouds missed by an instrument retrieval, not clouds underestimated by CMIP models. A search for model underestimation of optically thin stratiform clouds found no passage addressing the explanation attributed to this paper. (LLM, conf=0.72)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationOxygen changes in the tropical North Atlantic during the past decade are most likely associated with changes in the eddy-driven zonal current bands at intermediate depths and a shoaling of the wind-driven thermocline circulation, but other processes may contribute.
“Oxygen changes in the tropical North Atlantic during the past decade are most likely associated with changes in the eddy-driven zonal current bands at intermediate depths and a shoaling of the wind-driven thermocline circulation, but other processes, such as variations in the intensity of the mesoscale eddy field, may contribute (Hahn et al., 2017).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Hahn et al., 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationArgo is a global array of autonomous floats that sample the upper 2000 m; floats drift at 1000 m and make profiles of temperature, salinity, and pressure typically every 10 days.
“Argo is a global array of autonomous floats that sample the upper 2000 m of the ocean (Jayne et al., 2017).The floats drift at a depth of 1000 m and make profiles of temperature, salinity, and pressure in the upper 2000 m typically every 10 days.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Jayne et al., 2017 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationSince 2000, a mooring array has been maintained at 16N that includes velocity measurements covering the DWBC east of Guadeloupe and additional geostrophic moorings measuring the deep flow between the continental slope and the mid-Atlantic ridge.
“Since 2000, a mooring array has been maintained at 16 • N that includes velocity measurements covering the DWBC east of Guadeloupe and additional geostrophic moorings measuring the deep flow between the continental slope and the mid-Atlantic ridge (Send et al., 2011;Frajka-Williams et al., 2018).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Send et al., 2011 source
The Observations section describes a nearly 10-year continuous MOVE mooring record at 16°N, with current-meter measurements near the continental slope and geostrophic measurements across a 1000 km section. The Figure 1 caption places the moorings between the coast and Mid-Atlantic Ridge and depicts the deep western boundary current. Our copy does not explicitly establish the exact start year of 2000 or locate the boundary-current measurements east of Guadeloupe; page numbers were not available. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Frajka-Williams et al., 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSince 2008, PIRATA moorings at 4N,23W and 12N,23W have measured dissolved oxygen at 300 and 500 m to monitor the OMZ; O2 sensors were recently added at 20.5N,23W.
“Since 2008, the moorings at 4 • N, 23 • W and 12 • N, 23 • W have measured dissolved oxygen (O 2 ) at depths of 300 and 500 m in order to monitor the OMZ.O 2 sensors were recently added at 20.5 • N, 23 • W (Bourlès et al., 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Bourlès et al., 2019 source
Section 2.1 states that oxygen sensors were installed in 2008 at 4°N, 23°W and 12°N, 23°W at 300 and 500 m to monitor the OMZ. It also reports additional oxygen sensors at 21°N, 23°W, but does not give the claimed location of 20.5°N, 23°W. Page numbers were not available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationCurrently, there are three SOOP transects in the tropical Atlantic, each repeated approximately every 3 months; XBTs are deployed 10 to 35 km apart to measure temperature in the upper 760 m.
“Currently, there are three transects in the tropical Atlantic, each repeated approximately every 3 months (Figure 10).XBTs are deployed 10 to 35 km apart to measure temperature in the upper 760 m, from which mesoscale eddy variability and the larger-scale ocean circulation can be deduced (Goes et al., 2013).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Goes et al., 2013 source
Section 2.1, paragraph [7] describes one tropical Atlantic XBT transect, AX08, with about four realizations per year, an average 25 km spacing between casts in the tropics, and probes with a nominal depth range of 760 m. It does not establish that there are three transects or that casts across them are spaced 10–35 km apart. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAt the equator, several subsurface ADCP moorings are maintained as part of PIRATA, measuring currents typically from about 30 to 300 m.
“At the equator, several subsurface acoustic Doppler current profiler (ADCP) moorings are maintained as part of PIRATA (Bourlès et al., 2019).They measure currents typically from depths of about 30 to 300 m.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Bourlès et al., 2019 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPIRATA was initiated in 1997 and now consists of 18 moorings spanning the tropical Atlantic basin.
“It was initiated in 1997 and now consists of 18 moorings spanning the basin.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Bourlès et al., 2008 source
The Abstract states that PIRATA implementation began in 1997 and describes a buoy network in the tropical Atlantic. The ATLAS BUOYS section lists five western backbone, five eastern backbone, three Southwest Extension, and four Northeast Extension buoys—17 in total. The PIRATA EXPANSIONS section describes a separate Southeast pilot mooring that ended in June 2007, so the paper does not support 18 as the current mooring count. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Bourlès et al., 2019 source
May combine two claims.
PremisecitationBGC parameters are currently measured by 329 Argo floats globally, of which 22 are in the tropical Atlantic; measured parameters include oxygen, chlorophyll-a, suspended particles, nitrate, pH, and downwelling irradiance.
“Profiles of biogeochemical (BGC) parameters are currently made by 329 Argo floats in the global ocean, of which 22 are in the tropical Atlantic (Figure 2B).The measured parameters include oxygen, chlorophyll-a, suspended particles, nitrate, pH, and downwelling irradiance.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Gruber et al., 2010 source
The Introduction says Argo floats measure dissolved oxygen. Section 6.1 reports more than 200 oxygen-equipped floats deployed and 160 reporting data during a 20-day period in May 2009. The paper does not substantiate the claimed 329 BGC floats, 22 in the tropical Atlantic, or the full list of measured parameters; its figures describe a different time and subset of floats. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationMuch of the present observing system was designed before coupled model biases emerged as a scientific research priority; as a result, efforts to alleviate model biases are hampered by inadequate in situ measurements.
“Much of the present observing system was designed before coupled model biases emerged as a scientific research priority.As a result, efforts to alleviate model biases are hampered by inadequate in situ measurements (Tchipalanga et al., 2018).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Tchipalanga et al., 2018 source
In “History of Physical Oceanography in Angola” (page unavailable), the paper says a lack of observations prevents satisfactory evaluation of model simulations along the Angolan margin. Its “Summary and Discussion” (page unavailable) links better observations and process understanding to reducing model biases. It does not say that the observing system was designed before coupled-model biases became a research priority, and its discussion is regional rather than a claim about much of the present observing system. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCoupled ocean-atmosphere data assimilation is in its infancy.
“Coupled ocean-atmosphere data assimilation, a promising approach to improve oceanic and atmospheric analyses and coupled model forecasts, is in its infancy (Zhang et al., 2007;Lu et al., 2015).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Zhang et al., 2007 source
The introduction (page unavailable) describes this study as a first step in applying and validating its coupled data-assimilation system, with only a preliminary evaluation. That supports an early-stage characterization of this system, but the paper does not say that coupled ocean–atmosphere data assimilation as a field is in its infancy. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites Lu et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenThe tropical Atlantic observing system has progressed substantially over the past 20 years, yet many challenges remain.
“The tropical Atlantic observing system has progressed substantially over the past 20 years (Figure 2), yet many challenges remain.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenMost deployments of drifters are conducted from the XBT line AX8, from research vessels servicing PIRATA, and from Brazilian Navy vessels.
“Most deployments are conducted from the expendable bathythermograph (XBT) line AX8, which runs from Cape Town to the U.S. east coast, from research vessels servicing PIRATA, and from Brazilian Navy vessels.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenSince 2005, drifter measurements in the tropical Atlantic have been approximately hourly.
“1998, the array in the tropical Atlantic has averaged 92 drifters, and since 2005 drifter measurements have been approximately hourly.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSince 2005, there have been eight Atlantic hurricanes that have resulted in at least $25 billion in damages, including Harvey, Irma, and Maria in 2017 and Florence in 2018.
“Since 2005, there have been eight Atlantic hurricanes that have resulted in at least $25 billion in damages, including Harvey, Irma, and Maria in 2017 and Florence in 2018 2,3 .”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationPresent-day observations and models show that the ocean sink has increased along with CO2 emissions and is currently absorbing about 28% of anthropogenic CO2 emissions annually.
“Present-day observations and models show that the ocean sink has increased along with CO 2 emissions and is currently absorbing about 28% of anthropogenic CO 2 emissions annually (Le Quéré et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Le Quéré et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenShort-term predictions and longer decadal and century-scale projections of the tropical Atlantic are made more challenging by persistent biases in climate models that have seen little progress over the past two decades.
“Short-term predictions and longer decadal and century-scale projections of the tropical Atlantic are made more challenging by persistent biases in climate models that have seen little progress over the past two decades.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenTropical Atlantic conditions are driven by complex interactions between the ocean, atmosphere, and land, and between other ocean basins and the tropical Atlantic.
“These conditions are driven by complex interactions between the ocean, atmosphere, and land, and between other ocean basins and the tropical Atlantic.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenTropical Atlantic variability influences a wide range of societally important phenomena on different timescales that span the physical, biogeochemical, and ecological systems and their interactions.
“Tropical Atlantic variability (TAV) influences a wide range of societally important phenomena on different timescales that span the physical, biogeochemical, and ecological systems and their interactions.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe West African monsoon onset is typically in late June or early July and it ends normally from late September to October.
“Its onset is typically in late June or early July and it ends normally from late September to October (Sultan and Janicot, 2003).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sultan and Janicot, 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThere is stronger interannual variability at the Guinea Coast compared to the Sahel, and rainfall anomalies often extend zonally across West Africa, affecting large populations.
“There is stronger interannual variability at the Guinea Coast compared to the Sahel, and rainfall anomalies often extend zonally across West Africa (Giannini et al., 2005), affecting large populations.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Giannini et al., 2005 source
May combine two claims.
PremisecitationThere has been significant decadal-multidecadal variability of TC activity in the Atlantic, with above-normal activity during the 1940s and 50s, below-normal from the 60s to the early 90s, and above-normal since the mid-90s.
“There has also been significant decadal-multidecadal variability of TC activity in the Atlantic, with above-normal activity during the 1940s and 50s, belownormal from the 60s to the early 90s, and above-normal since the mid-90s (Goldenberg et al., 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Goldenberg et al., 2001 source
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenRainfall in South America and West Africa and Atlantic hurricanes are highly sensitive to conditions in the tropical Atlantic.
“Rainfall in South America and West Africa and Atlantic hurricanes are highly sensitive to conditions in the tropical Atlantic.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPrior to the recent drought period, Northeast Brazil experienced a severe flood in 2009 that has been linked to anomalous SSTs in the tropical Atlantic.
“Prior to the recent drought period, Northeast Brazil experienced a severe flood in 2009 that has been linked to anomalous SSTs in the tropical Atlantic (Foltz et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Foltz et al., 2012 source
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenStrong and societally relevant variability occurs on seasonal to multidecadal timescales in the tropical Atlantic.
“Strong and societally relevant variability occurs on seasonal to multidecadal timescales.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenThe tropical Atlantic is home to multiple coupled climate variations covering a wide range of timescales and impacting societally relevant phenomena such as continental rainfall, Atlantic hurricane activity, oceanic biological productivity, and atmospheric circulation in the equatorial Pacific.
“The tropical Atlantic is home to multiple coupled climate variations covering a wide range of timescales and impacting societally relevant phenomena such as continental rainfall, Atlantic hurricane activity, oceanic biological productivity, and atmospheric circulation in the equatorial Pacific.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe tropical Atlantic includes two major eastern boundary upwelling systems that support some of the world's most productive fisheries: the Canary and the Benguela.
“The tropical Atlantic includes two major eastern boundary upwelling systems that support some of the world's most productive fisheries: the Canary and the Benguela (Chaigneau et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chaigneau et al., 2009 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe tropical Atlantic receives about 25% of the global riverine freshwater discharge from three large rivers (Amazon, Congo, and Orinoco).
“The tropical Atlantic receives about 25% of the global riverine freshwater discharge from three large rivers (Amazon, Congo, and Orinoco; Dai and Trenberth, 2002).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dai and Trenberth, 2002
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTheory and numerical models predict that as SST rises, the maximum potential intensity that storms can reach will increase, enabling more powerful hurricanes.
“Theory and numerical models predict that as SST rises, the maximum potential intensity that storms can reach will increase, enabling more powerful hurricanes (Emanuel, 1999;Elsner et al., 2008).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationUptake of anthropogenic CO2 by the ocean regulates atmospheric CO2 concentration but also leads to ocean acidification, with significant but poorly understood consequences for marine organisms and ecosystems.
“While uptake of anthropogenic CO 2 by the ocean regulates the atmospheric CO 2 concentration, it also leads to ocean acidification, with significant but poorly understood consequences for marine organisms and ecosystems (Feely et al., 2004;Bates, 2007).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationA positive AMM favors an earlier migration of the ITCZ northward during April-May, shortening the rainfall season over the Amazon region and Brazilian Northeast and leading to severe droughts over the Northeast.
“A positive AMM favors an earlier migration of the ITCZ northward during April-May, shortening the rainfall season over the Amazon region and Brazilian Northeast and leading to severe droughts over the Northeast (Figures 4B,C; Nobre and Shukla, 1996;Hastenrath, 2006;Kucharski et al., 2008;Liebmann and Mechoso, 2011;Rodrigues et al., 2011).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationThe frequency of extreme El Niño and La Niña events is likely to increase, which will affect the tropical North Atlantic ocean-atmosphere system.
“The frequency of extreme El Niño and La Niña events is likely to increase (Cai et al., 2014(Cai et al., , 2015a,b,b), which will affect the tropical North Atlantic ocean-atmosphere system.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Cai et al., 2014 source
- cites Cai et al., 2015a,b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationSatellites cannot retrieve variables a few meters above the sea surface and instead rely on empirically derived algorithms applied to total-column water vapor or precipitable water.
“This is mainly because satellites cannot retrieve the variables a few meters above the sea surface and instead rely on empirically derived algorithms applied to total-column water vapor or precipitable water (Liu et al., 1991).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Liu et al., 1991 source
May combine two claims.
PremisecitationThese dead-zone events act to intensify the OMZ in the upper 200 m and have severe direct impacts on the local ecosystem.
“These events act to intensify the OMZ in the upper 200 m and have severe direct impacts on the local ecosystem (Schütte et al., 2016b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schütte et al., 2016b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThe eastern tropical Atlantic on both sides of the equator is occupied by OMZs, which result from sluggish ventilated shadow zones situated equatorward of the subtropical gyres.
“The eastern tropical Atlantic on both sides of the equator is occupied by OMZs, which result from sluggish ventilated shadow zones (Luyten et al., 1983) situated equatorward of the subtropical gyres.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Luyten et al., 1983 source
May combine two claims.
PremisecitationCoupled model simulations indicate a general warming in the tropical Atlantic, with reduced seasonal cycle and interannual variability, in response to an AMOC weakening.
“Coupled model simulations indicate a general warming in the tropical Atlantic, with reduced seasonal cycle and interannual variability, in response to an AMOC weakening (Chang et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chang et al., 2008 source
May combine two claims.
PremisecitationThese waves significantly contribute to the upper-ocean heat and freshwater budgets through their influence on horizontal and vertical mixing and provide energy to EDJs via downward propagating Yanai beams.
“These waves significantly contribute to the upper-ocean heat and freshwater budgets through their influence on horizontal and vertical mixing (Foltz et al., 2003;Jochum et al., 2004;Hummels et al., 2013) and provide energy to EDJs via downward propagating Yanai beams (Tuchen et al., 2018).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationEddies are generated in the eastern side of the basin connecting the eastern boundary upwelling systems with the open oceans, transporting oxygen-poor and nutrient-rich waters into the oligotrophic ocean and impacting the mean state.
“Eddies are generated in the eastern side of the basin connecting the eastern boundary upwelling systems with the open oceans, transporting oxygenpoor and nutrient-rich waters into the oligotrophic ocean and impacting the mean state (Schütte et al., 2016a,b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schütte et al., 2016a,b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThe AMOC and STCs are basin-wide and regional circulations that are influenced by and interact with the circulation in the tropical Atlantic and affect tropical Atlantic climate and extreme weather.
“The Atlantic Meridional Overturning Circulation (AMOC) and subtropical cells (STCs) are examples of basin-wide and regional circulations, respectively, that are influenced by and interact with the circulation in the tropical Atlantic and affect tropical Atlantic climate and extreme weather (Zhang et al., 2003;Knight et al., 2005;Zhang and Delworth, 2006).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationThese coupled climate model biases have received much attention but seen little improvement.
“These biases have received much attention but seen little improvement (Davey et al., 2002;Richter and Xie, 2008;Richter et al., 2014b;Giarolla et al., 2015;Zuidema et al., 2016b).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationUpwelling in the Benguela region is driven by southerly winds associated with the Benguela low-level coastal jet, with oceanic currents and the location of the Angola-Benguela frontal zone sensitive to the jet's wind-stress curl.
“Upwelling is driven by southerly winds associated with the Benguela low-level coastal jet, with oceanic currents and the location of the Angola-Benguela frontal zone sensitive to the jet's wind-stress curl (Colberg and Reason, 2006;Fennel et al., 2012).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Premisenone givenModels typically produce too weak of a cold tongue that also appears too late in the year, while placing cool SST in the western equatorial Atlantic warm pool.
“Models typically produce too weak of a cold tongue that also appears too late in the year, while placing cool SST in the western equatorial Atlantic warm pool, defined as the area with SSTs above 28.5 • C.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAnother factor that may contribute to the cold tongue bias is insufficient representation of the oceanic thermocline, which may be related to deficiencies in vertical mixing parameterizations.
“Another factor that may contribute to the cold tongue bias is insufficient representation of the oceanic thermocline (Hazeleger and Haarsma, 2005;Xu et al., 2014b), which may be related to deficiencies in vertical mixing parameterizations.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Hazeleger and Haarsma, 2005 source
- cites Xu et al., 2014b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThe warm SST bias in the Benguela coastal upwelling region is more severe than that at the equator, exceeding 2.5°C in the multi-model average of AOGCMs from CMIP5.
“The warm SST bias in the Benguela coastal upwelling region (Figure 9) is more severe than that at the equator, exceeding 2.5 • C in the multi-model average of atmosphereocean general circulation models (AOGCMs) from the Coupled Model Intercomparison Project Phase 5 (CMIP5; Toniazzo and Woolnough, 2014;Richter, 2015;Zuidema et al., 2016a).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationThis introduces a positive feedback: the warmer ocean surface reduces the lower tropospheric stability that maintains the low cloud deck, further reducing the low cloud cover.
“This introduces a positive feedback: the warmer ocean surface reduces the lower tropospheric stability that maintains the low cloud deck (Klein and Hartmann, 1993;Huang et al., 2007;Hu et al., 2008), further reducing the low cloud cover.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Klein and Hartmann, 1993
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Huang et al., 2007 source
- cites Hu et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Premisenone givenThe present tropical mooring array provides invaluable time series for evaluation of models and assimilation systems, with the latter primarily impacted in the region of the moorings.
“The present tropical mooring array provides invaluable time series for evaluation of models and assimilation systems, the latter being primarily impacted in the region of the moorings.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenMeasurements of temperature and salinity in the deep ocean and surface atmospheric pressure appear to be top priorities for improving operational data assimilation and ocean state estimates.
“Measurements of temperature and salinity in the deep ocean and surface atmospheric pressure appear to be top priorities for improving operational data assimilation and ocean state estimates.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe atmospheric component of the coupled models is the primary culprit for the Southeast Atlantic warm SST bias, with the ocean playing a vital but secondary role.
“This suggests the atmospheric component of the coupled models is the primary culprit (Lauer and Hamilton, 2013), with the ocean playing a vital but secondary role (Richter, 2015).”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
Premisenone givenIn many regions of the tropical Atlantic, the rate at which pH is declining, its causes, and its impacts on CaCO3 shell-forming species are not well known.
“In many regions of the tropical Atlantic, the rate at which pH is declining, its causes, and its impacts on CaCO 3 shell-forming species are not well known.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenThe high temporal sampling rates of moorings are not exploited in most current assimilation systems, and the mooring impact could potentially be larger with better adapted and more advanced assimilation systems.
“The high temporal sampling rates of moorings are not exploited in most current assimilation systems, and the mooring impact could potentially be larger with better adapted and more advanced assimilation systems.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFish stock assessment models have developed quantitative methods to optimize the population dynamics parameters of exploited species based mainly on catch and fishing effort data, and in some cases tagging data.
“Fish stock assessment models have developed quantitative methods to optimize the population dynamics parameters of exploited species based mainly on catch and fishing effort data, and in some cases tagging data (Maunder and Punt, 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Maunder and Punt, 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenOMZs are expected to strengthen the biological carbon pump, as surface-produced organic matter is better preserved due to oxygen deficiency.
“OMZs are expected to strengthen the biological carbon pump, as surface-produced OM is better preserved due to oxygen deficiency.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere have been some successful attempts to assimilate microwave data from SMOS, Aquarius, and SMAP satellites to correct SSS.
“There have been some successful attempts to assimilate microwave data from the Soil Moisture and Ocean Salinity (SMOS), Aquarius, and Soil Moisture Active Passive (SMAP) satellites to correct SSS (Martin, 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Martin, 2016 source
May combine two claims.
PremisecitationA single mooring at 11S,13E has been recording since 2013, showing a weak and highly variable southward flow of the Angola Current.
“The mooring consists of an ADCP covering the upper 500 m at 11 • S, 13 • E and has been recording data since 2013, showing a weak and highly variable southward flow of the Angola Current (Kopte et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kopte et al., 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenPrecipitation at the ocean's surface is retrieved from variables highly correlated with rainfall, including infrared and microwave brightness temperature, and visible and near-infrared albedo.
“Precipitation at the ocean's surface is retrieved from variables that are highly correlated with rainfall, including infrared and microwave brightness temperature, as well as visible and nearinfrared albedo.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenPIRATA has supported biogeochemical measurements: since 2006 at 6S,10W and since 2008 at 8N,38W, CARIOCA sensors have measured fCO2 at about 1 m; in 2017 a new CARIOCA sensor was implemented at 6S,8E.
“Since 2006 at 6 • S, 10 • W and since 2008 at 8 • N, 38 • W, CO 2 Carbon Interface Ocean Atmosphere (CARIOCA) sensors have been measuring the fugacity of CO 2 (fCO 2 ) at a depth of about 1 m.In 2017, a new CARIOCA sensor was implemented at 6 • S, 8 • E.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premiseown dataGO-SHIP conducts high-quality, full-depth measurements in the global ocean approximately once per decade, measuring many physical, chemical, and biological variables including heat, freshwater, carbon, oxygen, nutrients, and transient tracers.
“The Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) conducts high-quality, full-depth measurements in the global ocean approximately once per decade (Figure 10).The measurements have high spatial and vertical resolutions and measure many different physical, chemical, and biological variables, including heat, freshwater, carbon, oxygen, nutrients and transient tracers.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningIn situ data are critical for validating and calibrating satellite retrievals, and satellite data are useful for filling temporal gaps in mooring surface data and for providing information to fill large spatial gaps between moorings and other in situ surface measurements.
“In situ data are critical for validating and calibrating satellite retrievals, and satellite data are useful for filling temporal gaps in mooring surface data and for providing information to fill the large spatial gaps between moorings and other in situ surface measurements.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenAll PIRATA moorings measure ocean temperature in the upper 500 m, salinity in the upper 120 m, and near-surface air temperature, relative humidity, wind velocity, rainfall, and incident shortwave radiation.
“All moorings measure ocean temperature in the upper 500 m, salinity in the upper 120 m, and near-surface air temperature, relative humidity, wind velocity, rainfall, and incident shortwave radiation.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationNear-surface air humidity and temperature cannot be retrieved directly by satellites; they are estimated from satellite-measured total column water vapor or total precipitable water using passive microwave radiometers.
“Near-surface air humidity and temperature cannot be retrieved directly by satellites.Instead, these variables are estimated from satellite-measured total column water vapor or total precipitable water (PW) (Liu, 1986;Liu et al., 1991) using passive microwave radiometers such as Special Sensor Microwave Imager and Sounder (SSM/I and SSMIS, respectively), AMSR-E, and AMSR-2.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBeginning in 2014, all PIRATA buoys have been equipped with acoustic receivers at a depth of 200 m as a contribution to the Ocean Tracking Network.
“Beginning in 2014, all buoys have been equipped with acoustic receivers at a depth of 200 m as a contribution to the Ocean Tracking Network (OTN 8 ).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenMoorings do not resolve well the equatorial waveguide, especially meridionally, or the southeastern tropical Atlantic, where there are large SST signals associated with Benguela Niños, model biases, and complex ocean-atmosphere interactions.
“Moorings also do not resolve well the equatorial waveguide, especially meridionally, or the southeastern tropical Atlantic, where there are large SST signals associated with Benguela Niños, model biases, and complex ocean-atmosphere interactions involving winds, currents, SST, clouds, and aerosols.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenMost satellites provide measurements in real-time or near real-time, and records for many parameters extend back at least 20 years.
“Most satellites provide measurements in real-time or near real-time, and the records for many parameters extend back at least 20 years.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPollutants such as mercury and plastics can negatively impact ecosystems, and emerging contaminants such as gadolinium, silver, and platinum need close attention, as their fate, toxicity and distributions are not well known.
“Pollutants such as mercury and plastics can negatively impact ecosystems, and emerging contaminants such as gadolinium, silver, and platinum need close attention, as their fate, toxicity and distributions are not well known (Hatje et al., 2018;Henderson et al., 2018).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Interpretationnone givenMoored surface buoys have even coarser horizontal and vertical resolutions than Argo, but uniquely make colocated high-temporal-resolution measurements of the upper ocean and near-surface atmosphere.
“Moored surface buoys have even coarser horizontal and vertical resolutions than Argo, but uniquely make colocated high-temporal-resolution measurements of the upper ocean and near-surface atmosphere.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenIn 2017 and 2018, full-depth CTD-O2-ADCP casts, along with water sample analyses of salinity, O2, pH, nutrients, and trace elements, were performed during western Atlantic PIRATA servicing cruises.
“In 2017 and 2018, full-depth CTD-O 2 -ADCP casts, along with water sample analyses of salinity, O 2 , pH, nutrients, and trace elements, were performed during the western Atlantic PIRATA servicing cruises.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationEquatorially forced waves propagate along the southwestern African coast, triggering substantial thermocline, halocline, and nutricline displacements and affecting the local marine ecosystems balance, while tropical nutrient-rich and low-oxygen water masses may occasionally penetrate southward over large distances along the coast.
“Equatorially forced waves propagate along the southwestern African coast, triggering substantial thermocline, halocline, and nutricline displacements and affecting the local marine ecosystems balance, while tropical nutrient-rich and low-oxygen water masses may occasionally penetrate southward over large distances along the coast.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenA transition to next-generation T-Flex moorings began in 2015; currently 10 PIRATA buoys have been upgraded and the remaining eight will follow.
“A transition to the next-generation tropical flex moorings (T-Flex) began in 2015.Currently, 10 PIRATA buoys have been upgraded and the remaining eight will follow (Figure 2).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenMulti-frequency transects collected during regular maintenance cruises of the PIRATA network since 2015 are a key piece of a growing acoustic network for estimating global biomass of micronekton.
“Multi-frequency transects collected during the regular maintenance cruises of the PIRATA network since 2015 are a key piece of a growing acoustic network for estimating the global biomass of micronekton, one of the less known components of the ocean ecosystem.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenIn the tropical North Atlantic, PIRATA moorings are located in the central and eastern basin (east of 40W), where seasonal and interannual SST signals are largest, especially those associated with the AMM and AZM.
“In the tropical North Atlantic, PIRATA moorings are located in the central and eastern basin (east of 40 • W), where seasonal and interannual SST signals are largest, especially those associated with the AMM and AZM.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenThe vertical spacing of temperature sensors on PIRATA moorings varies, typically 5-20 m in the upper 40 m, with 20 m intervals down to 140 m and 40-200 m resolution between 140 and 500 m.
“The vertical spacing of temperature sensors varies between moorings and is typically 5-20 m in the upper 40 m, with 20 m intervals down to 140 m and 40-200 m resolution between 140 and 500 m.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone givenArgo provides subsurface information, but at coarser horizontal resolution than satellites.
“In contrast, Argo provides subsurface information, but at coarser horizontal resolution than satellites.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Premisenone givenSeveral PIRATA moorings also measure downward longwave radiation, atmospheric pressure, and ocean currents at a depth of 10 m or 12 m.
“Several moorings also measure downward longwave radiation, atmospheric pressure, and ocean currents at a depth of 10 m or 12 m.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningBy combining data from several satellites with in situ measurements, daily maps of SST at high spatial resolution (0.25° or better) are possible going back to 1997.
“By combining data from several satellites with in situ measurements, daily maps of SST at high spatial resolution (0.25 • or better) are possible going back to 1997, when microwave measurements started.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenThere are currently approximately 4000 Argo floats in the global ocean, and about 800 floats must be deployed each year to maintain the array.
“Measurements began in the early 2000's and there are currently approximately 4000 floats in the global ocean.About 800 floats must be deployed each year to maintain the array.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenNTAS has been operational since 2001 and measures the same parameters as PIRATA plus ocean currents from a point meter at 10 m and an upward-looking ADCP at 100 m, and enhanced vertical resolutions of temperature and salinity.
“NTAS has been operational since 2001 and measures the same parameters as the PIRATA buoys (surface meteorology including longwave radiation and atmospheric pressure), plus ocean currents from a point meter at 10 m and an upward-looking ADCP at 100 m, and enhanced vertical resolutions of temperature and salinity.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe vertical resolutions of temperature sensors on PIRATA moorings are not high enough to resolve the vertical structure of the mixed layer diurnal cycle, which can affect the mean state climate and vertical mixing.
“However, the vertical resolutions of temperature sensors on PIRATA moorings are not high enough to resolve the vertical structure of the mixed layer diurnal cycle, which can affect the mean state climate and vertical mixing (Ham et al., 2009;Hummels et al., 2013).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenGDP observations from buoys drogued at 15 m were first collected in the tropical Atlantic in 1990, and the array was sustained beginning in 1997.
“Global Drifter Program (GDP) observations from buoys drogued at 15 m were first collected in the tropical Atlantic in 1990, and the array was sustained beginning in 1997 (Figure 2).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningScatterometers measure effects of centimeter-scale roughness caused by surface stress, but present retrieval algorithms generate estimates of surface wind, not wind stress, because there are no suitable surface wind stress ground-truths for calibration.
“Scatterometers measure the effects of centimeterscale roughness caused by surface stress, but the present retrieval algorithms generate estimates of surface wind, not wind stress, because there are no suitable surface wind stress ground-truths for calibration.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe deep Argo array currently consists of 69 floats, 9 of which are in the tropical Atlantic; the project's goal is to deploy 1228 deep Argo floats globally.
“The deep Argo array currently consists of 69 floats, 9 of which are in the tropical Atlantic (Figure 2B).The project's goal is to deploy 1228 deep Argo floats globally, each with the ability to measure temperature, salinity, and pressure to within ±0.001 • C, ±0.002 psu, and ± 3 dbar, respectively, improving on the standard float accuracies of temperature and salinity.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zilberman and Roemmich, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenFew of the enhanced drifter observations (subsurface temperature, surface and subsurface salinity, wind velocity, directional wave spectra) are being collected by drifters in the tropical Atlantic.
“However, few of these observations are being collected by drifters in the tropical Atlantic.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenSatellites give global coverage but only at the surface of the ocean and generally do not resolve timescales less than one day.
“Satellites give global coverage but only at the surface of the ocean and generally do not resolve timescales less than one day.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenConductivity on PIRATA moorings is measured with 5-20 m spacing in the upper 40 m and 20-80 m spacing down to 120 m.
“Conductivity is additionally measured with 5-20 m spacing in the upper 40 m and 20-80 m spacing down to 120 m.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenSatellite-based SSS began in 2009 with SMOS; SSS was measured by Aquarius during 2011-2015 and is currently measured by SMAP; complete coverage of the tropical Atlantic is achieved in approximately one week at spatial resolution 1/2°-1°.
“Satellite-based measurements of SSS began in 2009 with the launch of the SMOS sensor.SSS was measured by Aquarius during 2011-2015 and is currently measured by the SMAP radiometer.From these satellites, complete coverage of the tropical Atlantic is achieved in approximately one week at a spatial resolution of 1/2 • -1 • .”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenOther tropical Atlantic moorings include NTAS at 15N,51W, Melax at 14N,17W, CVOO at 17.6N 24.3W, and several NDBC meteorological and wave buoys.
“Other moorings in the tropical Atlantic include the Northwest Tropical Atlantic Station for air-sea flux measurements (NTAS) at 15 • N, 51 • W, the Melax air-sea buoy in the Senegalese part of the Canary Current Upwelling System at 14 • N, 17 • W, the Cape Verde Ocean Observatory (CVOO) at 17.6 • N 24.3 • W, and several meteorological and wave buoys maintained by the National Data Buoy Center (NDB”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenTraditional zooplankton sampling with nets requires extra ship time, complicating its implementation.
“Traditional zooplankton sampling with nets requires extra ship time, complicating its implementation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenProposed satellite missions such as SKIM have great potential to aid research, data assimilation, and forecasts.
“Proposed satellite missions such as the Sea surface KInematics Multiscale monitoring of ocean surface currents (SKIM) have great potential to aid research, data assimilation, and forecasts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenCurrently, there is no long-term commitment to fund these observations continuously, only to define what constitutes biogeochemical measurements and what should be measured.
“Currently, there is no long-term commitment to fund these observations continuously, only to define what constitutes biogeochemical measurements and what should be measured.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningCurrently, the deep ocean (>2000 m) is very poorly sampled, severely limiting the accuracy with which AMOC, sea level rise, heat and freshwater storage, and global energy imbalance can be calculated.
“Currently, the deep ocean (>2000 m) is very poorly sampled, severely limiting the accuracy with which these quantities can be calculated.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe demand for information about the tropical Atlantic Ocean, including subseasonal to seasonal predictions and longer-term projections in a changing climate, is only expected to increase in the future.
“Therefore, the demand for information about the tropical Atlantic Ocean, including subseasonal to seasonal predictions and longer-term projections in a changing climate, is only expected to increase in the future.”
Quote in the paperNot a substantial claim- Rests on an assumption: The tropical Atlantic represents a unique and complex mix of many interacting oceanic and climate modes of variability that fluctuate across a wide variety of timescales.
- Rests on an assumption: A large and diverse group of human populations depends on the tropical Atlantic Ocean for sustenance and recreation and is adversely affected by climate-driven changes in precipitation patterns, extreme weather and ocean ecosystems.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenSustaining drifter observations in the tropical Atlantic is difficult because it is a region of net surface divergence.
“Sustaining drifter observations in the tropical Atlantic is difficult as it is a region of net surface divergence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningThe combination of moorings that include subsurface ocean measurements, and other platforms such as gliders and Argo, would advance knowledge and predictability of landfalling hurricanes.
“The combination of moorings that include subsurface ocean measurements, and other platforms such as gliders and Argo, would advance knowledge and predictability of landfalling hurricanes.”
Quote in the paperNot a substantial claim- Rests on an assumption: The northwestern tropical Atlantic warm pool is a region through which a high percentage of landfalling hurricanes pass.
- Rests on an assumption: There is strong upper-ocean salinity stratification in the northwestern tropical Atlantic warm pool.
- Rests on an assumption: There are energetic mesoscale fronts and eddies in the northwestern tropical Atlantic warm pool that affect air-sea fluxes and mixing.
- Rests on an assumption: The mesoscale fronts and eddies in the northwestern tropical Atlantic warm pool are poorly understood.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe tropical Atlantic observing system generates large quantities of data covering a wide range of temporal and spatial scales and across many platforms.
“The tropical Atlantic observing system generates large quantities of data covering a wide range of temporal and spatial scales and across many platforms.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenPIRATA and other fixed moorings are unique among the observing systems because they can be placed at predefined locations and do not drift.
“PIRATA and other fixed moorings are unique among the observing systems because they can be placed at predefined locations and do not drift.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenAugmenting moorings with barometers will aid NWP and data assimilation.
“Augmenting moorings with barometers will aid NWP and data assimilation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenFor forecast improvements, both a long history with a record of many past events to evaluate forecast skill and reliable real-time data to initialize forecasts are critical.
“For forecast improvements, both a long history (with a record of many past events to evaluate forecast skill) and reliable real-time data (to initialize forecasts) are critical.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenSome PIRATA cruises have only recently begun to measure biogeochemical and biological parameters such as nutrients, pH/alkalinity, and phytoplankton, while others measure only temperature, salinity, and oxygen.
“Some PIRATA cruises have only recently begun to measure biogeochemical and biological parameters such as nutrients, pH/alkalinity, and phytoplankton, while others measure only temperature, salinity, and oxygen.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenAugmenting the in situ observing system in the southeastern tropical Atlantic will help to improve understanding of the Atlantic Zonal Mode, Benguela Niños, and coupled model biases.
“Augmenting the in situ observing system in the STA will help to improve understanding of the AZM, Benguela Niños, and coupled model biases.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Interpretationnone givenIn situ data provide information on the subsurface ocean and high-accuracy measurements near the air-sea interface that can be used to calibrate and validate satellite measurements and to bridge gaps between satellite missions.
“In situ data provide information on the subsurface ocean and high-accuracy measurements near the airsea interface that can be used to calibrate and validate satellite measurements and to bridge gaps between satellite missions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenContinuity of satellite records is critical for maintaining basin-wide surface observations.
“Continuity of satellite records is critical for maintaining basin-wide surface observations.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenThere are large uncertainties in surface turbulent heat fluxes derived from satellite and reanalysis data, and it is unclear how well existing bulk formulas perform, especially outside the equatorial region.
“There are large uncertainties in surface turbulent heat fluxes derived from satellite and reanalysis data (Figure 7), and it is unclear how well existing bulk formulas perform, especially outside of the equatorial region.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenLong records in the tropical Atlantic are extremely important for observing ocean-atmosphere variability on interannual to multidecadal timescales and changes in response to global warming.
“These long records in the tropical Atlantic are extremely important for observing ocean-atmosphere variability on interannual to multidecadal timescales and changes in response to global warming.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenProcess studies are essential to improve model parameterizations, identify new scientific phenomena, and develop and test new technologies.
“Though not part of the sustained observing system, process studies are essential to improve model parameterizations, identify new scientific phenomena, and develop and test new technologies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenMany important datasets remain difficult to find or are stored in formats that are difficult to read or do not contain adequate metadata.
“However, many important datasets remain difficult to find or are stored in formats that are difficult to read or do not contain adequate metadata.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenPresently, the sensor spacing on PIRATA moorings is too coarse to accurately calculate mixed layer depth, stratification beneath the mixed layer, and the vertical structure of the diurnal cycle of temperature near the surface.
“Presently, the sensor spacing is too coarse to accurately calculate mixed layer depth, stratification beneath the mixed layer, and the vertical structure of the diurnal cycle of temperature near the surface.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenCurrently, satellite retrievals of chlorophyll and ocean color are limited by clouds, especially in the ITCZ, providing additional motivation for in situ measurements in this region.
“Currently, satellite retrievals of chlorophyll and ocean color are limited by clouds, especially in the ITCZ, providing additional motivation for in situ measurements this region.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe most valuable data for evaluating and improving coupled ocean-atmosphere data assimilation methodologies are co-located time series of oceanic and atmospheric data from fixed-point moorings.
“The most valuable data for evaluating and improving the methodologies are co-located time series of oceanic and atmospheric data from fixed-point moorings.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenFor ocean state estimates, the PIRATA array is too sparse and the measurements are too shallow to provide constraints on the deeper ocean.
“For ocean state estimates, the PIRATA array is too sparse and the measurements are too shallow to provide constraints on the deeper ocean.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningMeasurements from a single-point current meter and a downwelling longwave radiation sensor on every mooring are needed to compute temperature and salinity advection and the net surface heat flux, important components of the mixed layer heat and salinity budgets.
“These measurements are needed to compute temperature and salinity advection and the net surface heat flux, important components of the mixed layer heat and salinity budgets.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Many developing countries surrounding the tropical Atlantic Ocean face societal challenges that are compounded by climate variability and change.
“Many developing countries surrounding the tropical Atlantic Ocean face societal challenges that are compounded by climate variability and change (Figure 1).”
The paper relies on this without support.
There are new emerging threats that will require additional scientific knowledge and monitoring capabilities.
“There are new emerging threats that will require additional scientific knowledge and monitoring capabilities.”
The paper relies on this without support.
The increasing occurrence of weather and climate extremes and tipping points in ocean biogeochemistry and ecosystems is occurring.
“These include the increasing occurrence of weather and climate extremes and tipping points in ocean biogeochemistry and ecosystems.”
The paper relies on this without support.
The tropical Atlantic observing system is not designed to resolve all important spatial and temporal scales of variability.
“The tropical Atlantic observing system is not designed to resolve all important spatial and temporal scales of variability.”
The paper relies on this without support.
The observing needs for biogeochemistry, ecosystems, and pollution (long time series of key variables, monitoring pollutants, and fish surveys) are real and unmet.
“The observing needs for biogeochemistry, ecosystems, and pollution include the development of long time series of key variables such as oxygen, CO 2 , chlorophyll, nutrients, and commercial and endangered species, for monitoring and understanding seasonal, interannual, decadal, and longer timescale changes.”
The paper relies on this without support.
The tropical Atlantic observing system's data are used for monitoring, understanding, and predicting weather, climate, and ecosystems.
“This is important not only to increase the usability of the data for advancement of scientific knowledge, but also to improve data assimilation and predictability of weather, climate, and ecosystems.”
The paper relies on this without support.
The leading theories of what generates coupled model biases are sufficiently reliable to guide observing system design.
“Based on the leading theories of what generates coupled model biases, such an improved system may include (1) arrays of nearcoastal buoys and ocean gliders in the Benguela upwelling region, (2) multiplatform measurements of turbulent mixing and the processes that drive it in the equatorial Atlantic, (3) direct measurements of turbulent and radiative air-sea fluxes in the northeastern and”
The paper relies on this without support.
The northwestern tropical Atlantic warm pool is a region through which a high percentage of landfalling hurricanes pass.
“The AWP is a region through which a high percentage of landfalling hurricanes pass.”
The paper relies on this without support.
There is strong upper-ocean salinity stratification in the northwestern tropical Atlantic warm pool.
“There is strong upper-ocean salinity stratification and energetic mesoscale fronts and eddies that affect air-sea fluxes and mixing and yet are poorly understood.”
The paper relies on this without support.
There are energetic mesoscale fronts and eddies in the northwestern tropical Atlantic warm pool that affect air-sea fluxes and mixing.
“There is strong upper-ocean salinity stratification and energetic mesoscale fronts and eddies that affect air-sea fluxes and mixing and yet are poorly understood.”
The paper relies on this without support.
The mesoscale fronts and eddies in the northwestern tropical Atlantic warm pool are poorly understood.
“There is strong upper-ocean salinity stratification and energetic mesoscale fronts and eddies that affect air-sea fluxes and mixing and yet are poorly understood.”
The paper relies on this without support.
The measurements of micronekton collected during the regular maintenance cruises of the PIRATA network are one of the less known components of the ocean ecosystem.
“The measurements of micronekton collected during the regular maintenance cruises of the PIRATA network are one on the less known components of the ocean ecosystem.”
The paper relies on this without support.
Plastics have detrimental impacts on ecosystems.
“Routine measurements of plastics during repeated PIRATA services cruises are also highly recommended, given their detrimental impacts on ecosystems.”
The paper relies on this without support.
Process studies often measure many variables at high resolution for a limited amount of time.
“Process studies often measure many variables at high resolution for a limited amount of time.”
The paper relies on this without support.
PIRATA resolves the fast zonal propagation of oceanic signals along the equator.
“PIRATA resolves the fast zonal propagation of oceanic signals along the equator, while at off-equatorial locations they provide essential measurements across a wide range of climate regimes.”
The paper relies on this without support.
At off-equatorial locations, PIRATA provides essential measurements across a wide range of climate regimes.
“PIRATA resolves the fast zonal propagation of oceanic signals along the equator, while at off-equatorial locations they provide essential measurements across a wide range of climate regimes.”
The paper relies on this without support.
The low-wind, high-rainfall ITCZ is one of the climate regimes sampled by PIRATA.
“These include the lowwind, high-rainfall ITCZ; the northeastern and southeastern areas with cool SSTs, low clouds, and large concentrations of aerosols; and the northwestern tropical Atlantic, characterized by strong upper-ocean salinity stratification, energetic mesoscale variability, and poorly understood shallow convection in the atmosphere.”
The paper relies on this without support.
The northeastern and southeastern areas have cool SSTs, low clouds, and large concentrations of aerosols.
“These include the lowwind, high-rainfall ITCZ; the northeastern and southeastern areas with cool SSTs, low clouds, and large concentrations of aerosols; and the northwestern tropical Atlantic, characterized by strong upper-ocean salinity stratification, energetic mesoscale variability, and poorly understood shallow convection in the atmosphere.”
The paper relies on this without support.
The northwestern tropical Atlantic is characterized by strong upper-ocean salinity stratification, energetic mesoscale variability, and poorly understood shallow convection in the atmosphere.
“These include the lowwind, high-rainfall ITCZ; the northeastern and southeastern areas with cool SSTs, low clouds, and large concentrations of aerosols; and the northwestern tropical Atlantic, characterized by strong upper-ocean salinity stratification, energetic mesoscale variability, and poorly understood shallow convection in the atmosphere.”
The paper relies on this without support.
The tropical Atlantic represents a unique and complex mix of many interacting oceanic and climate modes of variability that fluctuate across a wide variety of timescales.
“The tropical Atlantic represents a unique and complex mix of many interacting oceanic and climate modes of variability that fluctuate across a wide variety of timescales.”
The paper relies on this without support.
A large and diverse group of human populations depends on the tropical Atlantic Ocean for sustenance and recreation and is adversely affected by climate-driven changes in precipitation patterns, extreme weather and ocean ecosystems.
“A large and diverse group of human populations depends on the tropical Atlantic Ocean for sustenance and recreation and is adversely affected by climate-driven changes in precipitation patterns, extreme weather and ocean ecosystems.”
The paper relies on this without support.
There has been substantial progress in building and maintaining the sustained observing system over the past 20 years.
“There has been substantial progress in building and maintaining the sustained observing system over the past 20 years.”
The paper relies on this without support.
The tropical Atlantic is strongly influenced by conditions in the Pacific and Indian Oceans as well as the extratropical North and South Atlantic.
“The tropical Atlantic is strongly influenced by conditions in the Pacific and Indian Oceans as well as the extratropical North and South Atlantic.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Conflicting start dates for tropical Atlantic drifter measurements
MinorThe text says drifter observations were first collected in the tropical Atlantic in 1990, but the Figure 10 caption says measurements there began in 1997. The text identifies 1997 as the start of the sustained array, not the first measurements.
“Global Drifter Program (GDP) observations from buoys drogued at 15 m were first collected in the tropical Atlantic in 1990, and the array was sustained beginning in 1997”
“Surface drifter measurements in the tropical Atlantic began in 1997.”
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“May, shortening the rainfall season over the Amazon region and Brazilian Northeast and leading to severe droughts over the Northeast (Figures 4B,C; Nobre and Shukla, 1996; Hastenrath, 2006; Kucharski et al., 2008; Liebmann and Mechoso, 2011; Rodrigues et al., 2011).”
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BackgroundSelf-citationGlobal warming-induced upper-ocean freshening and the intensification of super typhoons
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“, 2013), nutrient cycling and resilience, as well as goods and services, including food production through fisheries and aquaculture, ecosystem conservation, and climate regulation (Diaz and Rosenberg, 2008; Stramma et al., 2012; Craig and Bosman, 2013; Kalvelage et al., 2013; Martinez-Rey et al., 2015; Arevalo-Martin…”
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“The increasing destruction is likely a result of coastal population growth in the United States as well as natural and human-induced changes in the large-scale hurricane environment that can influence TC intensity, rapid intensification (RI), translation speed, and rainfall (Goldenberg et al., 2001; Knutson et al., 20…”
BackgroundSelf-citationProcesses in the Pacific La Niña onset triggered by the Atlantic Niño
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Self-citationTropical Atlantic biases and their relation to surface wind stress and terrestrial precipitation.
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“One contribution to the insufficient cold tongue development in models is the equatorial westerly wind bias in March–May (Figure 9), which deepens the thermocline and inhibits cooling during the subsequent June–August upwelling season (Richter and Xie, 2008; Richter et al., 2012).”
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Self-citationA multi-model approach to the Atlantic Equatorial mode: impact on the West African monsoon
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“On interannual timescales, the AZM affects the WAM (Sultan and Janicot, 2003; Polo et al., 2008; Losada et al., 2010; Nicholson, 2013).”
BackgroundSelf-citationTropical sea surface temperature, vertical wind shear, and hurricane development.
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“Dynamical mechanisms for the generation of the AZM (Keenlyside and Latif, 2007; Polo et al., 2015b; Jouanno et al., 2017) have been questioned and, mostly based on model simulations, important roles for thermodynamic processes proposed (Nnamchi et al., 2015, 2016).”
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Model tropical Atlantic biases underpin diminished Pacific decadal variability.
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Studies of 21st‐century precipitation trends over West Africa
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“…intensification of the hydrological cycle due to climate change is still unclear and may have significant consequences for West African populations (Druyan, 2011; Monerie et al., 2016).”
BackgroundTHE SOUTH AMERICAN MONSOON SYSTEM
Liebmann, B., & Mechoso, C. R. (2011) · World Scientific series on Asia-Pacific weather and climate · doi:10.1142/9789814343411_0009 · Cited by 133 · see citing works
Circulation and teleconnection mechanisms of Northeast Brazil droughts.
Hastenrath, S. (2006) · Progress in Oceanography · doi:10.1016/j.pocean.2005.07.004 · Cited by 132 · cited 1× · see citing works
“May, shortening the rainfall season over the Amazon region and Brazilian Northeast and leading to severe droughts over the Northeast (Figures 4B,C; Nobre and Shukla, 1996; Hastenrath, 2006; Kucharski et al., 2008; Liebmann and Mechoso, 2011; Rodrigues et al., 2011).”
BackgroundMultiple causes of interannual sea surface temperature variability in the equatorial Atlantic Ocean
Richter, I., Behera, S., Masumoto, Y., Taguchi, B., Sasaki, H., & Yamagata, T. (2012) · Nature Geoscience · doi:10.1038/ngeo1660 · Cited by 131 · cited 29× · see citing works
“Dynamical mechanisms for the generation of the AZM (Keenlyside and Latif, 2007; Polo et al., 2015b; Jouanno et al., 2017) have been questioned and, mostly based on model simulations, important roles for thermodynamic processes proposed (Nnamchi et al., 2015, 2016).”
BackgroundInfluentialSelf-citationTropical SST and Sahel rainfall: A non‐stationary relationship
Losada, T., Rodríguez‐Fonseca, B., Mohíno, E., Bader, J., Janicot, S., & Mechoso, C. R. (2012) · Geophysical Research Letters · doi:10.1029/2012gl052423 · Cited by 129 · see citing works
Self-citationBreak-up of the Atlantic deep western boundary current into eddies at 8° S
Dengler, M., Schott, F. A., Eden, C., Brandt, P. N., Fischer, J., & Zantopp, R. J. (2004) · Nature · doi:10.1038/nature03134 · Cited by 127 · cited 1× · see citing works
“ADT is plotted every 2.5 cm. Red and blue contours indicate the maximum geostrophic velocities of anticyclonic and cyclonic eddies, respectively. and are responsible for part of the water mass transport within the tropical AMOC (Goni and Johns, 2001; Dengler et al., 2004; Goes et al., 2009).”
BackgroundInfluentialSelf-citationA census of North Brazil Current Rings observed from TOPEX/POSEIDON altimetry: 1992–1998
Goni, G. J., & Johns, W. E. (2001) · Geophysical Research Letters · doi:10.1029/2000gl011717 · Cited by 125 · see citing works
Self-citationThe shallow and deep western boundary circulation of the South Atlantic at 5°-11°S.
Schott, F. A., Dengler, M., Zantopp, R., Stramma, L., Fischer, J., & Brandt, P. (2005) · Journal of Physical Oceanography · doi:10.1175/jpo2813.1 · Cited by 125 · cited 3× · see citing works
“An array consisting of four velocity moorings has been installed at the Brazilian continental slope along 11◦S from 2000 to 2004 and since 2013, measuring the shallow and DWBC (Schott et al., 2005; Hummels et al., 2015).”
MethodSelf-citationTidal induced mixing and diapycnal nutrient fluxes in the Mauritanian upwelling region.
Schafstall, J., Dengler, M., Brandt, P., & Bange, H. (2010) · Journal of Geophysical Research: Oceans · doi:10.1029/2009jc005940 · Cited by 124 · see citing works
Self-citationWang, C., Kucharski, F., Barimalala, R., & Bracco, A. (2009) · Meteorologische Zeitschrift · doi:10.1127/0941-2948/2009/0394 · Cited by 124 · see citing works
Huang, P., Lin, I., Chou, C., & Huang, R. (2015) · Nature Communications · doi:10.1038/ncomms8188 · Cited by 124 · see citing works
Propagation and origin of warm anomalies in the Angola Benguela upwelling system in 2001.
Rouault, M., Illig, S., Bartholomae, C., Reason, C. J. C., & Bentamy, A. (2007) · Journal of Marine Systems · doi:10.1016/j.jmarsys.2006.11.010 · Cited by 123 · see citing works
Self-citationInteraction between the Atlantic meridional and Niño modes
Foltz, G. R., & McPhaden, M. J. (2010) · Geophysical Research Letters · doi:10.1029/2010gl044001 · Cited by 122 · see citing works
Self-citationWhy did the 2011–2012 La Niña cause a severe drought in the Brazilian Northeast?
Rodrigues, R. R., & McPhaden, M. J. (2014) · Geophysical Research Letters · doi:10.1002/2013gl058703 · Cited by 122 · cited 1× · see citing works
“The opposite is generally true for negative AMM phases (Foltz et al., 2012; Rodrigues and McPhaden, 2014).”
BackgroundSelf-citationLauer, A., & Hamilton, K. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00451.1 · Cited by 120 · see citing works
On the triggering of Benguela Niños: Remote equatorial versus local influences
Richter, I., Behera, S. K., Masumoto, Y., Taguchi, B., Komori, N., & Yamagata, T. (2010) · Geophysical Research Letters · doi:10.1029/2010gl044461 · Cited by 119 · cited 30× · see citing works
“Dynamical mechanisms for the generation of the AZM (Keenlyside and Latif, 2007; Polo et al., 2015b; Jouanno et al., 2017) have been questioned and, mostly based on model simulations, important roles for thermodynamic processes proposed (Nnamchi et al., 2015, 2016).”
BackgroundInfluentialSelf-citationPredicting Atlantic Basin Seasonal Tropical Cyclone Activity by 1 June
Gray, W. M., Landsea, C. W., Mielke, P. W., & Berry, K. J. (1994) · Weather and Forecasting · doi:10.1175/1520-0434(1994)009 · Cited by 119 · see citing works
On the Inconsistent Relationship between Pacific and Atlantic Niños*
Lübbecke, J. F., & McPhaden, M. J. (2012) · Journal of Climate · doi:10.1175/jcli-d-11-00553.1 · Cited by 117 · cited 1× · see citing works
“There is also significant external forcing of TAV from ENSO, the North Atlantic Oscillation, and the South Atlantic Anticyclone (Enfield and Mayer, 1997; Czaja et al., 2002; Chang et al., 2006; Illig and Dewitte, 2006; Lübbecke et al., 2010; Lübbecke and McPhaden, 2012).”
BackgroundSelf-citationThermodynamic controls of the Atlantic Niño
Nnamchi, H. C., Li, J., Kucharski, F., Kang, I., Keenlyside, N. S., Chang, P., & Farneti, R. (2015) · Nature Communications · doi:10.1038/ncomms9895 · Cited by 117 · see citing works
Self-citationReview and assessment of latent and sensible heat flux accuracy over the global oceans.
Bentamy, A., Piollé, J. F., Grouazel, A., Danielson, R., Gulev, S., Paul, F., Azelmat, H., Mathieu, P. P., von Schuckmann, K., Sathyendranath, S., et al. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.08.016 · Cited by 116 · see citing works
Self-citationOccurrence and characteristics of mesoscale eddies in the tropical northeastern Atlantic Ocean
Schütte, F., Brandt, P. N., & Karstensen, J. (2016) · Ocean science · doi:10.5194/os-12-663-2016 · Cited by 115 · see citing works
Self-citationDiagnosing southeast tropical Atlantic SST and ocean circulation biases in the CMIP5 ensemble
Zhao, X., Chang, P., Richter, I., Kim, W. M., & Tang, G. (2014) · Climate Dynamics · doi:10.1007/s00382-014-2247-9 · Cited by 113 · see citing works
Self-citationOn the Atlantic–Pacific Niños connection: a multidecadal modulated mode.
Martín-Rey, M., Rodríguez-Fonseca, B., Polo, I., & Kucharski, F. (2014) · Climate Dynamics · doi:10.1007/s00382-014-2305-3 · Cited by 112 · see citing works
Self-citationInfluence of African dust on ocean–atmosphere variability in the tropical Atlantic
Evan, A. T., Foltz, G. R., Zhang, D., & Vimont, D. J. (2011) · Nature Geoscience · doi:10.1038/ngeo1276 · Cited by 111 · see citing works
Predicting <i>Sargassum</i> blooms in the Caribbean Sea from MODIS observations
Wang, M., & Hu, C. (2017) · Geophysical Research Letters · doi:10.1002/2017gl072932 · Cited by 111 · see citing works
On the Tropical Atlantic SST warm bias in the Kiel Climate Model
Wahl, S., Latif, M., Park, W., & Keenlyside, N. (2011) · Climate Dynamics · doi:10.1007/s00382-009-0690-9 · Cited by 110 · see citing works
Self-citationAn overview of the living marine resources of Namibia
Boyer, D. C., & Hampton, I. (2001) · South African Journal of Marine Science · doi:10.2989/025776101784528953 · Cited by 110 · see citing works
Evidence for interannual and interdecadal climate variability in the South Atlantic
Venegas, S. A., Mysak, L. A., & Straub, D. N. (1996) · Geophysical Research Letters · doi:10.1029/96gl02373 · Cited by 110 · see citing works
Positive low cloud and dust feedbacks amplify tropical North Atlantic Multidecadal Oscillation
Yuan, T., Oreopoulos, L., Zelinka, M. D., Yu, H., Norris, J. R., Chin, M., Platnick, S. E., & Meyer, K. (2016) · Geophysical Research Letters · doi:10.1002/2016gl067679 · Cited by 109 · cited 1× · see citing works
“Positive dust and cloud feedbacks on SST and climate have been established at interannual and decadal timescales in both hemispheres (Evan et al., 2011; Bellomo et al., 2015; Myers et al., 2018) and are capable of amplifying the AMV (Bellomo et al., 2016; Yuan et al., 2016).”
BackgroundOn the Growth and Decay of the Subtropical Dipole Mode in the South Atlantic
Morioka, Y., Tozuka, T., & Yamagata, T. (2011) · Journal of Climate · doi:10.1175/2011jcli4010.1 · Cited by 108 · see citing works
Wave–turbulence interaction-induced vertical mixing and its effects in ocean and climate models
Qiao, F., Yuan, Y., Deng, J., et al. (2016) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2015.0201 · Cited by 108 · see citing works
PIRATA: A sustained observing system for tropical Atlantic climate research and forecasting.
Bourlès, B., Araujo, M., McPhaden, M. J., Brandt, P., Foltz, G. R., Lumpkin, R., Giordani, H., Hernandez, F., Lefèvre, N., Nobre, P., et al. (2019) · Earth and Space Science · doi:10.1029/2018ea000428 · Cited by 108 · see citing works
Self-citationPatricola, C. M., Saravanan, R., & Chang, P. (2014) · Journal of Climate · doi:10.1175/jcli-d-13-00687.1 · Cited by 107 · see citing works
Self-citationBiological and physical influences on marine snowfall at the equator
Kiko, R., Arne Biastoch, B., Brandt, P. N., et al. (2017) · Nature Geoscience · doi:10.1038/ngeo3042 · Cited by 107 · see citing works
Self-citationOpen ocean dead zones in the tropical North Atlantic Ocean.
Karstensen, J., Fiedler, B., Schütte, F., Brandt, P., Körtzinger, A., Fischer, G., Zantopp, R., Hahn, J., Visbeck, M., & Wallace, D. (2015) · Biogeosciences · doi:10.5194/bg-12-2597-2015 · Cited by 105 · see citing works
Self-citationHistorical Climate Records in China and Reconstruction of Past Climates
Zhang, J., & Crowley, T. J. (1989) · Journal of Climate · doi:10.1175/1520-0442(1989)002 · Cited by 104 · see citing works
Self-citationSeasonal heat balance in the upper 100 m of the equatorial Atlantic Ocean
Jouanno, J., Marin, F., du Penhoat, Y., Sheinbaum, J., & Molines, J. (2011) · Journal of Geophysical Research Atmospheres · doi:10.1029/2010jc006912 · Cited by 102 · see citing works
Does a dipole mode really exist in the South Atlantic Ocean
Nnamchi, H., Li, J.-P., & Anyadike, R. (2011) · Journal of Geophysical Research Atmospheres · doi:10.1029/2010jd015579 · Cited by 100 · see citing works
Self-citationMonteiro, P. M. S., van der Plas, A. K., Mélice, J. L., & Florenchie, P. (2008) · Deep Sea Research Part I Oceanographic Research Papers · doi:10.1016/j.dsr.2007.12.010 · Cited by 100 · cited 1× · see citing works
“The OMZs in the eastern tropical Atlantic are split into shallow (100 m) and deep (400 m) branches (Monteiro et al., 2008; Brandt et al., 2015) that are caused primarily by enhanced biological productivity/consumption and sluggish ventilation, respectively.”
BackgroundTropical instability waves in the Atlantic ocean.
Jochum, M., Malanotte-Rizzoli, P., & Busalacchi, A. (2004) · Ocean Modelling · doi:10.1016/s1463-5003(03)00042-8 · Cited by 99 · see citing works
Martín-Rey, M., Polo, I., Rodríguez-Fonseca, B., Losada, T., & Lazar, A. (2018) · Journal of Climate · doi:10.1175/jcli-d-16-0459.1 · Cited by 99 · see citing works
Self-citationAtlantic opportunities for ENSO prediction
Martín‐Rey, M., Rodríguez‐Fonseca, B., & Polo, I. (2015) · Geophysical Research Letters · doi:10.1002/2015gl065062 · Cited by 98 · cited 1× · see citing works
“…Dengler2, R. R. Rodrigues9, J. O. Schmidt10, L. Yu11, N. Lefevre12, L. Cotrim Da Cunha13, M. J. McPhaden14, M. Araujo8, J. Karstensen2, J. Hahn2, M. Martín-Rey15, C. M. Patricola16, P. Poli17, P. Zuidema18, R. Hummels2, R. C. Perez1, V. Hatje19, J. F. Lübbecke2,3, I. Polo5, R. Lumpkin1, B.…”
Self-citationSend, U., Lankhorst, M., & Kanzow, T. (2011) · Geophysical Research Letters · doi:10.1029/2011gl049801 · Cited by 97 · see citing works
Equatorial upper‐ocean dynamics and their interaction with the West African monsoon
Brandt, P. N., Caniaux, G., Bourlès, B., Lazar, A., Dengler, M., Funk, A., Hormann, V., Giordani, H., & Marin, F. (2010) · Atmospheric Science Letters · doi:10.1002/asl.287 · Cited by 97 · see citing works
Self-citationSeasonal mixed layer salinity balance of the tropical North Atlantic Ocean
Foltz, G. R., & McPhaden, M. J. (2008) · Journal of Geophysical Research Atmospheres · doi:10.1029/2007jc004178 · Cited by 96 · see citing works
Self-citationDynamic potential intensity: an improved representation of the ocean’s impact on tropical cyclones.
Balaguru, K., Foltz, G. R., Leung, L. R., Asaro, E. D., Emanuel, K. A., Liu, H., & Zedler, S. E. (2015) · Geophysical Research Letters · doi:10.1002/2015gl064822 · Cited by 95 · see citing works
Self-citationEvolution of model systematic errors in the tropical Atlantic basin from coupled climate hindcasts.
Huang, B., Hu, Z.-Z., & Jha, B. (2007) · Climate Dynamics · doi:10.1007/s00382-006-0223-8 · Cited by 95 · see citing works
Grodsky, S. A., Reverdin, G., Carton, J. A., et al. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.08.033 · Cited by 95 · see citing works
Self-citationInterannual atmospheric variability forced by the deep equatorial Atlantic Ocean
Brandt, P., Funk, A., Hormann, V., Dengler, M., Greatbatch, R. J., & Toole, J. M. (2011) · Nature · doi:10.1038/nature10013 · Cited by 93 · see citing works
Self-citationDomingues, R., Goni, G., Bringas, F., Lee, S., Kim, H., Halliwell, G., Dong, J., Morell, J., & Pomales, L. (2015) · Geophysical Research Letters · doi:10.1002/2015gl065378 · Cited by 93 · see citing works
Recent climatic trends in the tropical Atlantic.
Servain, J., Caniaux, G., Kouadio, Y. K., McPhaden, M. J., & Araujo, M. (2014) · Climate Dynamics · doi:10.1007/s00382-014-2168-7 · Cited by 91 · see citing works
Self-citationA model study of the seasonal mixed layer heat budget in the equatorial Atlantic.
Peter, A., Le Hénaff, M., du Penhoat, Y., Menkes, C. E., Marin, F., Vialard, J., Caniaux, G., & Lazar, A. (2006) · Journal of Geophysical Research: Oceans · doi:10.1029/2005jc003157 · Cited by 90 · see citing works
Self-citationA quick look at the 2012 record flood in the Amazon Basin.
Satyamurty, P., da Costa, C. P. W., Manzi, A. O., & Candido, L. A. (2013) · Geophysical Research Letters · doi:10.1002/grl.50245 · Cited by 90 · see citing works
Changes in the ventilation of the oxygen minimum zone of the tropical North Atlantic.
Brandt, P., Hormann, V., Körtzinger, A., Visbeck, M., Krahmann, G., Stramma, L., Lumpkin, R., & Schmid, C. (2010) · Journal of Physical Oceanography · doi:10.1175/2010jpo4301.1 · Cited by 89 · see citing works
Self-citationDevelopment of warm SST errors in the southern tropical Atlantic in CMIP5 decadal hindcasts.
Toniazzo, T., & Woolnough, S. (2014) · Climate Dynamics · doi:10.1007/s00382-013-1691-2 · Cited by 88 · see citing works
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Tanimoto, Y., & Xie, S. (2002) · Journal of the Meteorological Society of Japan Ser II · doi:10.2151/jmsj.80.1199 · Cited by 86 · see citing works
Sargassum Watch Warns of Incoming Seaweed
Hu, C., Murch, B., Barnes, B. B., et al. (2016) · Eos · doi:10.1029/2016eo058355 · Cited by 85 · see citing works
Hurricane intensification along United States coast suppressed during active hurricane periods.
Kossin, J. P. (2017) · Nature · doi:10.1038/nature20783 · Cited by 85 · cited 4× · see citing works
“…of hurricane landfall frequencies and intensities if the predicted atmospheric steering flow, wind shear, and SST patterns are taken into account (Wang et al., 2011; Kossin, 2017), further emphasizing the importance of tropical Atlantic SST variations and their interactions with the atmosphere.”
BackgroundInfluential
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Cited by
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On the Future of Argo: A Global, Full-Depth, Multi-Disciplinary Array
Roemmich, D. H., Alford, M. H., Claustre, H., Johnson, K. S., King, B., Moum, J. N., Oke, P. R., Owens, W. B., Pouliquen, S., Purkey, S. G., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00439 · Cited by 508 · see citing works
Self-citationJohns, E. M., Lumpkin, R., Putman, N. F., Smith, R. H., Muller-Karger, F. E., Rueda-Roa, D. T., Hu, C., Wang, M., Brooks, M. T., Gramer, L. J., et al. (2020) · Progress In Oceanography · doi:10.1016/j.pocean.2020.102269 · Cited by 244 · see citing works
Self-citationSloyan, B. M., Wanninkhof, R. H., Kramp, M., Johnson, G. C., Talley, L. D., Tanhua, T., McDonagh, E. L., Cusack, C. K., O’Rourke, E., McGovern, E., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00445 · Cited by 157 · see citing works
Self-citationImpacts of teleconnection patterns on South America climate
Reboita, M. S., Ambrizzi, T., Crespo, N. M., Dutra, L. M. M., Ferreira, G. W. D. S., Rehbein, A., Drumond, A. R. D. M., da Rocha, R. P., & de Souza, C. A. (2021) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14592 · Cited by 164 · see citing works
Monerie, P., Wainwright, C. M., Sidibé, M., & Akinsanola, A. A. (2020) · Climate Dynamics · doi:10.1007/s00382-020-05332-0 · Cited by 116 · see citing works
Self-citationSatellite‐Based Sea Surface Salinity Designed for Ocean and Climate Studies
Boutin, J., Reul, N., Koehler, J., et al. (2021) · Journal of Geophysical Research Oceans · doi:10.1029/2021jc017676 · Cited by 114 · see citing works
High-efficiency chaotic time series prediction based on time convolution neural network
Cheng, W. X., Wang, Y., Peng, Z., Ren, X., Shuai, Y., Zang, S., Liu, H., Cheng, H., & Wu, J. (2021) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2021.111304 · Cited by 112 · see citing works
Satellite Remote Sensing of Surface Winds, Waves, and Currents: Where are we Now?
Hauser, D., Abdalla, S., Ardhuin, F., et al. (2023) · Surveys in Geophysics · doi:10.1007/s10712-023-09771-2 · Cited by 85 · see citing works
Assunção, R. V., da Silva, A. C., Roy, A., Bourlès, B., Silva, C. H. S., Ternon, J., Araújo, M., & Bertrand, A. (2020) · Progress In Oceanography · doi:10.1016/j.pocean.2020.102399 · Cited by 79 · see citing works
Self-citationSynergies in Operational Oceanography: The Intrinsic Need for Sustained Ocean Observations
Davidson, F. J. M., Azcarate, A. A., Barth, A., Brassington, G. B., Chassignet, E. P., Clementi, E., Mey, P. D., Divakaran, P., Harris, C., Hernández, F., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00450 · Cited by 76 · see citing works
Self-citationValles, I., Lee, S., Foltz, G. R., & Pelegrí, J. L. (2020) · Geophysical Research Letters · doi:10.1029/2020gl087108 · Cited by 70 · see citing works
“…summer monsoon and increased frequency of fl ooding in the West African countries bordering the Gulf of Guinea and in northeastern South America (e.g., Folland et al., 2001; Foltz et al., 2019; Giannini, 2003; Losada et al., 2010; Lübbecke et al., 2018; Okumura & Xie, 2004; Tschakert et al., 2010).”
BackgroundNear-surface western boundary circulation off Northeast Brazil
Dossa, A. N., da Silva, A. C., Chaigneau, A., Eldin, G., Araújo, M., & Bertrand, A. (2020) · Progress In Oceanography · doi:10.1016/j.pocean.2020.102475 · Cited by 68 · see citing works
Hydrological cycle changes under global warming and their effects on multiscale climate variability
Ma, J., Zhou, L., Foltz, G. R., Qü, X., Ying, J., Tokinaga, H., Mechoso, C. R., Li, J., & Gu, X. (2020) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14335 · Cited by 65 · see citing works
Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones
Domingues, R. M., Kuwano‐Yoshida, A., Chardón-Maldonado, P., Todd, R. E., Halliwell, G. R., Kim, H., Lin, I. ‐., Sato, K., Narazaki, T., Shay, L. K., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00446 · Cited by 55 · see citing works
Physical processes and biological productivity in the upwelling regions of the tropical Atlantic
Brandt, P. N., Alory, G., Awo, F. M., Dengler, M., Djakouré, S., Koungue, R. A. I., Jouanno, J., Körner, M., Roch, M., & Rouault, M. P. (2023) · Ocean science · doi:10.5194/os-19-581-2023 · Cited by 52 · see citing works
“…et al., 2011), while the Pacific Ocean, due to its larger width, develops resonances at lower baroclinic The identification of climate changes in upwelling systems is a major goal that requires the maintenance and further development of the tropical Atlantic observing system (Foltz et al., 2019 .”
Self-citationRossi, G. B., Cannata, A., Iengo, A., et al. (2021) · Sensors · doi:10.3390/s22010078 · Cited by 49 · see citing works
Diabatic heating governs the seasonality of the Atlantic Niño
Nnamchi, H. C., Latif, M., Keenlyside, N. S., Kjellsson, J., & Richter, I. (2021) · Nature Communications · doi:10.1038/s41467-020-20452-1 · Cited by 49 · see citing works
Self-citationAtlantic Equatorial Undercurrent intensification counteracts warming-induced deoxygenation
Brandt, P. N., Hahn, J., Schmidtko, S., Tuchen, F. P., Kopte, R., Kiko, R., Bourlès, B., Czeschel, R., & Dengler, M. (2021) · Nature Geoscience · doi:10.1038/s41561-021-00716-1 · Cited by 48 · see citing works
Self-citationCoastal Ocean Observing and Modeling Systems in Brazil: Initiatives and Future Perspectives
Franz, G., Garcia, C. A. E., Pereira, J., et al. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.681619 · Cited by 45 · see citing works
“AIR Centre, Atlantic International: Research Centre; ANP, Brazilian National Agency of Petroleum, Natural Gas and Biofuels; BAM, INPE’s global atmospheric modeling; BESM, Brazilian Earth System Model; BMO-BR, Brazilian Meteo-Oceanographic buoy; BNDO, National Bank for Oceanographic Data; BPBES, Brazilian Platform on B…”
BackgroundInfluentialSelf-citationEstablishing the Foundation for the Global Observing System for Marine Life
Satterthwaite, E. V., Bax, N. J., Miloslavich, P., Ratnarajah, L., Canonico, G., Dunn, D. C., Simmons, S. E., Carini, R. J., Evans, K., Allain, V., et al. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.737416 · Cited by 47 · see citing works
Tropical Atlantic Variability: Observations and Modeling
Cabos, W., de la Vara, A., & Koseki, S. (2019) · Atmosphere · doi:10.3390/atmos10090502 · Cited by 43 · see citing works
Freitas, A. A., Drumond, A. R. D. M., Carvalho, V. S. B., et al. (2021) · Atmosphere · doi:10.3390/atmos13010041 · Cited by 41 · see citing works
Subramanian, A. C., Balmaseda, M., Centurioni, L., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00427 · Cited by 39 · see citing works
da Silva, A. C., Chaigneau, A., Dossa, A. N., et al. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.598101 · Cited by 39 · see citing works
de Medeiros, F. J., de Oliveira, C. P., & Torres, R. (2020) · Climate Dynamics · doi:10.1007/s00382-020-05385-1 · Cited by 38 · see citing works
Relating model bias and prediction skill in the equatorial Atlantic
Counillon, F., Keenlyside, N. S., Toniazzo, T., Koseki, S., Demissie, T. D., Bethke, I., & Wang, Y. (2021) · Climate Dynamics · doi:10.1007/s00382-020-05605-8 · Cited by 35 · see citing works
Self-citationInfluence of ocean salinity stratification on the tropical Atlantic Ocean surface
Gévaudan, M., Jouanno, J., Durand, F., Morvan, G., Renault, L., & Samson, G. (2021) · Climate Dynamics · doi:10.1007/s00382-021-05713-z · Cited by 33 · see citing works
“The PIRATA observing system (Foltz et al. 2019) fostered significant advances on the identification and understanding of the modes of upper ocean variability occurring in the tropical Atlantic, and also on the processes that control the ML properties.”
The Atlantic zonal mode: Dynamics, thermodynamics, and teleconnections
Richter, I., & Tokinaga, H. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818156-0.00008-3 · Cited by 29 · see citing works
Self-citationVertical Turbulent Cooling of the Mixed Layer in the Atlantic ITCZ and Trade Wind Regions
Foltz, G. R., Hummels, R., Dengler, M., Perez, R. C., & Araújo, M. (2020) · Journal of Geophysical Research Oceans · doi:10.1029/2019jc015529 · Cited by 28 · see citing works
“The tropical Atlantic experiences a strong seasonal cycle of sea surface temperature (SST) and weaker, but impactful, interannual to multidecadal variability (Carton & Huang, 1994; Carton & Zhou, 1997; Chiang et al., 2002; Foltz et al., 2019; Keenlyside & Latif, 2007; Martín-Rey et al., 2018; Mitchell & Wallace, 1992;…”
BackgroundSelf-citationHatje, V., Andrade, R. L. B., de Oliveira, C. C., Polejack, A., & Gxaba, T. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.644569 · Cited by 33 · see citing works
“In addition, a large number of traditional coastal communities have a strong reliance on marine-based-diets that are safe for human consumption (Foltz et al., 2019), especially in low-income countries.”
BackgroundSelf-citationBrandt, P. N., Bordbar, M. H., Coelho, P., Koungue, R. A. I., Körner, M., Lamont, T., Lübbecke, J. F., Mohrholz, V., Prigent, A., Roch, M., et al. (2024) · Ecological studies · doi:10.1007/978-3-031-10948-5_9 · Cited by 28 · see citing works
Self-citationAguedjou, H. M., Chaigneau, A., Dadou, I., Morel, Y. G., Pegliasco, C., Da‐Allada, C. Y., & Baloïtcha, E. (2021) · Journal of Geophysical Research Oceans · doi:10.1029/2021jc017630 · Cited by 24 · see citing works
Thierry, V., Claustre, H., de Fommervault, O. P., Zilberman, N. V., Johnson, K. S., King, B., Wijffels, S., Bhaskar, U. T. V. S., Balmaseda, M., Belbéoch, M., et al. (2025) · Frontiers in Marine Science · doi:10.3389/fmars.2025.1593904 · Cited by 26 · see citing works
“Recent reviews of the design of the tropical moored arrays included expansion of the tropical OneArgo array, highlighting the complementary nature between the two observing systems (Smith et al., 2019; Foltz et al., 2019; Hermes et al., 2019).”
Self-citationMultidecadal Intensification of Atlantic Tropical Instability Waves
Tuchen, F. P., Perez, R. C., Foltz, G. R., Brandt, P. N., & Lumpkin, R. (2022) · Geophysical Research Letters · doi:10.1029/2022gl101073 · Cited by 21 · see citing works
“Moored velocity data have been collected at 0°, 23°W since 2001 and at 4°N, 23°W since 2005 as part of the tropical Atlantic observing system (Foltz et al., 2019) and the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA; Bourlès et al.”
BackgroundSelf-citationHummels, R., Dengler, M., Rath, W., Foltz, G. R., Schütte, F., Fischer, T., & Brandt, P. N. (2020) · Nature Communications · doi:10.1038/s41467-020-17601-x · Cited by 22 · see citing works
Self-citationIncrease in Cape Verde hurricanes during Atlantic Niño
Kim, D., Lee, S., Lopez, H., Foltz, G. R., Wen, C., West, R., & Dunion, J. (2023) · Nature Communications · doi:10.1038/s41467-023-39467-5 · Cited by 21 · see citing works
On the Genesis of the 2021 Atlantic Niño
Lee, S., Lopez, H., Tuchen, F. P., Kim, D., Foltz, G. R., & Wittenberg, A. T. (2023) · Geophysical Research Letters · doi:10.1029/2023gl104452 · Cited by 24 · see citing works
Ocean Climate Observing Requirements in Support of Climate Research and Climate Information
Stammer, D. B., Bracco, A., AchutaRao, K. M., Beal, L. M., Bindoff, N. L., Braconnot, P., Cai, W., Chen, D., Collins, M. D., Danabasoglu, G., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00444 · Cited by 20 · see citing works
Self-citationImpacts of Temperature Measurements From Sea Turtles on Seasonal Prediction Around the Arafura Sea
Doi, T., Storto, A., Fukuoka, T., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00719 · Cited by 20 · see citing works
Self-citationHow do Climate Modes Shape the Chlorophyll‐a Interannual Variability in the Tropical Atlantic?
Chenillat, F., Illig, S., Jouanno, J., Awo, F. M., Alory, G., & Brehmer, P. (2021) · Geophysical Research Letters · doi:10.1029/2021gl093769 · Cited by 20 · see citing works
“The tropical Atlantic is characterized by a low-frequency variability of coupled ocean-atmosphere processes leading to extreme events with critical societal impacts (high rainfall, drought, hurricane; Foltz et al., 2019).”
BackgroundSelf-citationNnamchi, H. C., Dike, V. N., Akinsanola, A. A., & Okoro, U. K. (2021) · Atmospheric Research · doi:10.1016/j.atmosres.2021.105677 · Cited by 20 · see citing works
Self-citationPMEL, N., McPhaden, M. J., Connell, K. J., Foltz, G. R., Perez, R. C., & Grissom, K. R. (2023) · Oceanography · doi:10.5670/oceanog.2023.211 · Cited by 20 · see citing works
Self-citationAssene, F., Morel, Y. G., Delpech, A., Aguedjou, H. M., Jouanno, J., Cravatte, S., Marin, F., Ménesguen, C., Chaigneau, A., Dadou, I., et al. (2020) · Fluids · doi:10.3390/fluids5030147 · Cited by 18 · see citing works
“Other programs have recently been carried out [15,16], or are underway (see the South and Tropical Atlantic climate-based marine ecosystem prediction for sustainable management, “TRIATLAS” project, https://triatlas.”
BackgroundSelf-citationTuchen, F. P., Brandt, P. N., Hahn, J., Hummels, R., Krahmann, G., Bourlès, B., Provost, C., McPhaden, M. J., & Toole, J. M. (2022) · Frontiers in Marine Science · doi:10.3389/fmars.2022.910979 · Cited by 18 · see citing works
“Regional climate variability in the tropical Atlantic, from interannual to decadal time scales, is inevitably connected to changes in the strength and position of the individual components of the tropical current system with impacts on societally relevant climate hazards such as anomalous rainfall or droughts over the…”
BackgroundSelf-citationSeasonal cycle of sea surface temperature in the tropical Angolan Upwelling System
Körner, M., Brandt, P. N., & Dengler, M. (2023) · Ocean science · doi:10.5194/os-19-121-2023 · Cited by 21 · see citing works
Self-citationAmazon River propagation evidenced by a CO2 decrease at 8°N, 38°W in September 2013
Lefèvre, N., Tyaquiçã, P., Veleda, D., et al. (2020) · Journal of Marine Systems · doi:10.1016/j.jmarsys.2020.103419 · Cited by 17 · see citing works
Self-citationDeveloping an Observing Air–Sea Interactions Strategy (OASIS) for the global ocean
Cronin, M. F., Swart, S., Marandino, C., Anderson, C. R., Browne, P. A., Chen, S., Joubert, W., Schuster, U., Venkatesan, R., Addey, C. I., et al. (2022) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsac149 · Cited by 17 · see citing works
Self-citationZhang, Z., & Li, G. (2022) · Climate Dynamics · doi:10.1007/s00382-022-06284-3 · Cited by 17 · see citing works
“In particular, recent studies (Foltz et al. 2019; Richter and Tokinaga 2020) suggested that a large inter-model spread exists in the future projection of the Atlantic SST warming.”
BackgroundPan-Atlantic decadal climate oscillation linked to ocean circulation
Nnamchi, H. C., Farneti, R., Keenlyside, N. S., Kucharski, F., Latif, M., Reintges, A., & Martin, T. V. (2023) · Communications Earth & Environment · doi:10.1038/s43247-023-00781-x · Cited by 16 · see citing works
Self-citationModeling of Precipitation over Africa: Progress, Challenges, and Prospects
Akinsanola, A. A., Ndomeni, C. W., Barimalala, R., Monerie, P., Dixon, R. D., Tamoffo, A. T., Adeniyi, M. O., Ongoma, V., Diallo, I., Gudoshava, M., et al. (2025) · Advances in Atmospheric Sciences · doi:10.1007/s00376-024-4187-6 · Cited by 14 · see citing works
“This systematic dry bias over the Sahel is also associated with a cold (warm) bias over the Sahara (Atlantic cold tongue) (Richter et al., 2012; Roehrig et al., 2013; Monerie et al., 2017; Foltz et al., 2019).”
Self-citationWater Mass Transports and Pathways in the North Brazil‐Equatorial Undercurrent Retroflection
Valles, I., Fraile‐Nuez, E., Martín‐Rey, M., van Sebille, E., Cabré, A., Abelló, A. O., & Pelegrí, J. L. (2022) · Journal of Geophysical Research Oceans · doi:10.1029/2021jc018150 · Cited by 13 · see citing works
Self-citationA Satellite Era Warming Hole in the Equatorial Atlantic Ocean
Nnamchi, H. C., Latif, M., Keenlyside, N. S., & Park, W. (2020) · Journal of Geophysical Research Oceans · doi:10.1029/2019jc015834 · Cited by 13 · see citing works
Self-citationImpact of Stratospheric Geoengineering on Sea Surface Temperature in the Northern Gulf of Guinea
Ayissi, F. F. B. K., Da‐Allada, C. Y., Baloïtcha, E., Tilmes, S., & Irvine, P. J. (2023) · Climate · doi:10.3390/cli11040087 · Cited by 12 · see citing works
“This warm SST bias at the NGG is similar to the one usually found in models at the equatorial Atlantic cold tongue and Benguela regions [65].”
ResultIoannou, A., Guez, L., Laxenaire, R., & Speich, S. (2024) · Remote Sensing · doi:10.3390/rs16224336 · Cited by 12 · see citing works
Self-citationThe Atlantic Meridional Mode and Associated Wind–SST Relationship in the CMIP6 Models
Xia, F., Zuo, J., Sun, C., & Liu, A. (2023) · Atmosphere · doi:10.3390/atmos14020359 · Cited by 11 · see citing works
Upper-Ocean Circulation and Tropical Atlantic Interannual Modes
Martín‐Rey, M., Valles, I., & Pelegrí, J. L. (2023) · Journal of Climate · doi:10.1175/jcli-d-22-0184.1 · Cited by 11 · see citing works
Self-citationPerez, R. C., Foltz, G. R., Lumpkin, R., Wei, J., Voss, K. J., Ondrusek, M. E., Wang, M., & Bourassa, M. A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823953-7.00022-8 · Cited by 11 · see citing works
Self-citationGasparin, F., Lellouche, J., Cravatte, S., et al. (2023) · Frontiers in Marine Science · doi:10.3389/fmars.2023.1021650 · Cited by 11 · see citing works
Self-citationBasin Interactions and Predictability
Keenlyside, N. S., Kosaka, Y., Vigaud, N., Robertson, A. W., Wang, Y., Dommenget, D., Luo, J., & Matei, D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108610995.009 · Cited by 12 · see citing works
Self-citationXing, W., Wang, C., Zhang, L., Chen, B., & Liu, H. (2024) · npj Climate and Atmospheric Science · doi:10.1038/s41612-024-00762-7 · Cited by 13 · see citing works
Tropical Atlantic Observing System (TAOS) Review Report
Johns, W. E., Speich, S., & Authors, L. (2021) · doi:10.36071/clivar.rp.1.2021 · Cited by 10 · see citing works
Self-citationNortheastern Tropical Atlantic SST and Sahel Rainfall Variability
Wane, D., Dieng, A. L., Niang, C., & Gaye, A. T. (2023) · Atmospheric and Climate Sciences · doi:10.4236/acs.2023.134024 · Cited by 9 · see citing works
Self-citationModulation of Equatorial Currents and Tropical Instability Waves During the 2021 Atlantic Niño
Tuchen, F. P., Perez, R., Foltz, G., Brandt, P., Subramaniam, A., Lee, S., Lumpkin, R., & Hummels, R. (2023) · Journal of Geophysical Research - Oceans · doi:10.1029/2023jc020431 · Cited by 4 · see citing works
Self-citationEvaluation of the ABI/GOES-16 SST Product in the Tropical and Southwestern Atlantic Ocean
Azevedo, M. H., Rudorff, N. D. M., & Aravéquia, J. A. (2021) · Remote Sensing · doi:10.3390/rs13020192 · Cited by 9 · see citing works
“The MDB was obtained from fixed and drifting buoys of two long-term programs: the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA) [19] and the National Buoy Program (Programa Nacional de Boias, PNBoia) [20].”
BackgroundMethodMuelbert, M. M. C., Copertino, M., da Cunha, L. C., et al. (2021) · Frontiers in Climate · doi:10.3389/fclim.2021.748344 · Cited by 9 · see citing works
“Nevertheless, despite existing initiatives, there are still considerable capacity and data gaps (Malone et al., 2010; Foltz et al., 2019; Smith et al., 2019; Speich et al., 2019; IOC-UNESCO, 2020) due to insufficient observations.”
BackgroundSelf-citationTeleconnections in the Atmosphere
An, S., Wang, C., & Mechoso, C. R. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108610995.003 · Cited by 8 · see citing works
Interdecadal changes in SST variability drivers in the Senegalese-upwelling: the impact of ENSO
Wade, M., Rodríguez‐Fonseca, B., Martín‐Rey, M., et al. (2022) · Climate Dynamics · doi:10.1007/s00382-022-06311-3 · Cited by 8 · see citing works
“Previous studies have reported interdecadal changes in the Tropical Atlantic Variability and its climate teleconnections (Foltz et al. 2019), associated with changes in the ocean background state or as part of inter-basin linkages between interannual modes; i.”
BackgroundSelf-citationDual Wave Energy Sources for the Atlantic Niño Events Identified by Wave Energy Flux in Case Studies
Song, Q., Tang, Y., & Aiki, H. (2023) · Journal of Geophysical Research Oceans · doi:10.1029/2023jc019972 · Cited by 8 · see citing works
Interacting Climates of Ocean Basins
(2020) · Cambridge University Press eBooks · doi:10.1017/9781108610995 · Cited by 7 · see citing works
Influence of the Gulf of Guinea Islands on the Atlantic Equatorial Undercurrent Circulation
Napolitano, D. C., Alory, G., Dadou, I., Morel, Y. G., Jouanno, J., & Morvan, G. (2022) · Journal of Geophysical Research Oceans · doi:10.1029/2021jc017999 · Cited by 7 · see citing works
Climate Variability and Change in Tropical South America
Marengo, J. A., Ambrizzi, T., Reboita, M. S., Costa, M. H., Dereczynski, C. P., Alves, L. M., & Cunha, A. P. M. D. A. (2023) · The Latin American studies book series · doi:10.1007/978-3-031-21329-8_2 · Cited by 7 · see citing works
Wane, D., de Coëtlogon, G., Lazar, A., Wade, M., & Gaye, A. T. (2023) · Climate Dynamics · doi:10.1007/s00382-023-06968-4 · Cited by 7 · see citing works
“The tropical Atlantic region encompasses a variety of coupled climate variations that significantly impact continental precipitation, hurricane activity in the Atlantic, ocean-based biological productivity and atmospheric circulation in the equatorial Pacific (Foltz et al. 2019).”
Self-citationInconsistent Atlantic Links to Precipitation Extremes over the Humid Tropics
Nnamchi, H. C., & Diallo, I. (2024) · Earth Systems and Environment · doi:10.1007/s41748-023-00370-0 · Cited by 8 · see citing works
“This is associated with a southerly displacement of the ITCZ (Chang et al. 1997; Xie and Tanimoto 1998; Foltz et al. 2019; Nnamchi et al. 2023), and reduced (increased) moisture transport from tropical North Atlantic (tropical South Atlantic) to the Amazon (Marengo 1992; Drumond et al. 2014).”
Self-citationToward an integrated pantropical ocean observing system
Foltz, G., Eddebbar, Y., Sprintall, J., Capotondi, A., Cravatte, S., Brandt, P., Sutton, A., Morris, T., Hermes, J., McMahon, C. R., et al. (2025) · Frontiers in Marine Science · doi:10.3389/fmars.2025.1539183 · Cited by 6 · see citing works
Self-citationIndian Ocean Variability and Interactions
Kucharski, F., Biastoch, A., Ashok, K., & Yuan, D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108610995.006 · Cited by 6 · see citing works
Chang, P., Richter, I., Dijkstra, H. A., Wieners, C., & Myers, T. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108610995.004 · Cited by 6 · see citing works
Self-citationBangelesa, F., Pollinger, F., Sponholz, B., Mapatano, M. A., Hatløy, A., & Paeth, H. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.167265 · Cited by 6 · see citing works
Equatorial wave diagnosis for the Atlantic Niño in 2019 with an ocean reanalysis
Song, Q., & Aiki, H. (2023) · Ocean science · doi:10.5194/os-19-1705-2023 · Cited by 6 · see citing works
Interacting Interannual Variability of the Pacific and Atlantic Oceans
Rodríguez‐Fonseca, B., Ham, Y., Lee, S., Martín‐Rey, M., Sánchez, I. P., & Rodrigues, R. R. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108610995.005 · Cited by 6 · see citing works
Self-citationWang, H., Wang, C., & Zhang, L. (2024) · Geophysical Research Letters · doi:10.1029/2024gl112178 · Cited by 5 · see citing works
“The Intertropical Convergence Zone (ITCZ) plays a crucial role in TC formation, where strong convective activities and elevated SSTs create favorable conditions for hurricanes (Foltź et al., 2019; Münnich & Neelin, 2005).”
Validating Salinity from SMAP and HYCOM Data with Saildrone Data during EUREC4A-OA/ATOMIC
Hall, K., Daley, A., Whitehall, S., et al. (2022) · Remote Sensing · doi:10.3390/rs14143375 · Cited by 5 · see citing works
“Understanding ocean-atmosphere interactions in the western tropical Atlantic is essential to the development of new parameterizations schemes for numerical weather prediction (NWP) and climate models [1] that support forecasting over this region.”
BackgroundInfluentialCharacterization of marine heat waves in the eastern tropical Atlantic Ocean
Djakouré, S., Koné, M., Koffi, U. K., Kouadio, Y. K., Adon, M., Nyadjro, E. S., & Ta, S. (2023) · Frontiers in Marine Science · doi:10.3389/fmars.2023.1293779 · Cited by 4 · see citing works
Interannual Variability of Marine Nitrogen Fixation in the Western Tropical Atlantic
Härri, J., Louchard, D., & Gruber, N. (2024) · Global Biogeochemical Cycles · doi:10.1029/2023gb007997 · Cited by 4 · see citing works
“Some of these anomalies might be driven by an anomalous displacement of the ITCZ, which should be captured by the AMM index, but can also affect the pathway of the plume (Coles et al., 2013).”
BackgroundInfluentialIllig, S., Djakouré, S., & Mitchodigni, T. (2024) · Journal of Geophysical Research Oceans · doi:10.1029/2024jc021011 · Cited by 4 · see citing works
Self-citationDecline in Atlantic Niño prediction skill in the North American multi-model ensemble
Chen, Y., Yan, X., Tang, Y., et al. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01693-0 · Cited by 4 · see citing works
Moraes-Costa, D. F., Marcolin, C. R., Lins-Silva, N., Brito-Lolaia, M., Varona, H. L., Lira, S. M. D. A., Almeida, A. O., & Schwamborn, R. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.176722 · Cited by 4 · see citing works
Fu, Y., Zou, C., Zhang, P., et al. (2025) · Earth system science data · doi:10.5194/essd-17-4651-2025 · Cited by 4 · see citing works
Sea surface salinity short-term variability in the tropics
Bingham, F. M., & Brodnitz, S. (2021) · Ocean science · doi:10.5194/os-17-1437-2021 · Cited by 4 · see citing works
Rainfall–Mixed Layer–SST Feedback Contributing to Atlantic Meridional Mode Development
Kataoka, T., Suzuki, T., & Tatebe, H. (2022) · Journal of Climate · doi:10.1175/jcli-d-21-1010.1 · Cited by 4 · see citing works
Ocean Science Diplomacy. The All-Atlantic Ocean Research Alliance case
Polejack, A. (2022) · doi:10.21677/phd220702 · Cited by 4 · see citing works
ENSO impacts on marine ecosystems and fisheries in the tropical and South Atlantic
Rodríguez‐Fonseca, B., Calvo-Miguélez, E., Montoya-Carramolino, L., Rodrigues, R. R., Polo, I., Martín‐Rey, M., Losada, T., López‐Parages, J., Gómara, Í., Rivas, D., et al. (2025) · Nature Reviews Earth & Environment · doi:10.1038/s43017-025-00742-2 · Cited by 5 · see citing works
Self-citationAtlantic Niño induced sea surface salinity variability as observed from the satellite
Chen, Y. (2024) · Environmental Research Letters · doi:10.1088/1748-9326/ad1fa5 · Cited by 3 · see citing works
“…particularly in the tropical Atlantic Ocean (Da-Allada et al 2013, Schlundt et al 2014, Sena Martins et al 2015, Bourlès et al 2019, Yu 2020), where in situ observations are very sparse compared with observations in the tropical Pacific and India Ocean (Foltz et al 2019, Stammer et al 2021).”
BackgroundDivergent future change in South Atlantic Ocean Dipole impacts on regional rainfall in CMIP6 models
Nworgu, U. C., Nnamchi, H. C., & Rosário, N. E. (2024) · Environmental Research Climate · doi:10.1088/2752-5295/ad3a0e · Cited by 3 · see citing works
“…correlation of 0.68; table SP1), the dominant mode of interannual variability over the tropical Atlantic (Zebiak 1993, Keenlyside and Latif 2007, Foltz et al 2019), through the interaction of the St. Helena anticyclone and the southeasterly trade winds (Lübbecke et al 2014, Nnamchi et al 2016,…”
BackgroundInfluentialSelf-citationProjected impacts of global warming scenarios on marine ecosystems: Insights from the CMIP6 model
Song, Z. (2024) · Theoretical and Natural Science · doi:10.54254/2753-8818/37/20240153 · Cited by 3 · see citing works
Predictable equatorial Atlantic variability from atmospheric convection-ocean coupling
Nnamchi, H. C., & Latif, M. (2025) · npj Climate and Atmospheric Science · doi:10.1038/s41612-025-01041-9 · Cited by 3 · see citing works
“Thus, advancing societal applications of our approach demands the reduction in model errors and observational uncertainty, both of which remain key challenges in the equatorial Atlantic 15,18 .”
Self-citationCombined Oceanic Influences on Continental Climates
Kitoh, A., Mohíno, E., Ding, Y., Rajendran, K., Ambrizzi, T., Marengo, J. A., & Magaña, V. O. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108610995.008 · Cited by 3 · see citing works
Salinity Biases and the Variability of the Atlantic Meridional Overturning Circulation in GFDL-CM3
Matos, F. D. A. O., Pereira, J., & Dengler, M. (2020) · Ocean Science Journal · doi:10.1007/s12601-020-0040-8 · Cited by 3 · see citing works
Self-citationEldevik, T., Smedsrud, L. H., Li, C., Årthun, M., Madonna, E., & Svendsen, L. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108610995.007 · Cited by 3 · see citing works
Simulated Sea Surface Salinity Data from a 1/48° Ocean Model
Bingham, F. M., Fournier, S., Brodnitz, S., et al. (2024) · Scientific Data · doi:10.1038/s41597-024-03314-z · Cited by 3 · see citing works
“It was originally set up in the mid-1980s to measure El Niño-related variability in the tropical Pacific 4,6 and has since been expanded to the Atlantic 54 and Indian 5 Ocean basins.”
BackgroundQuantifying climate change-driven variations in projected wind condition in the Gulf of Guinea
Dahunsi, A. M., Bonou, F., Dada, O. A., et al. (2025) · Dynamics of Atmospheres and Oceans · doi:10.1016/j.dynatmoce.2025.101543 · Cited by 2 · see citing works
- Authors
- Foltz, G. R., Brandt, P., Richter, I., Rodríguez-Fonseca, B., Hernandez, F., Dengler, M., Rodrigues, R. R., Schmidt, J. O., Yu, L., Lefevre, N., Da Cunha, L. C., McPhaden, M. J., Araujo, M., Karstensen, J., Hahn, J., Martín-Rey, M., Patricola-DiRosario, C. M., Poli, P., Zuidema, P., Hummels, R., Perez, R. C., Hatje, V., Lübbecke, J. F., Polo, I., Lumpkin, R., Bourlès, B., Asuquo, F. E., Lehodey, P., Conchon, A., Chang, P., Dandin, P., Schmid, C., Sutton, A., Giordani, H., Xue, Y., Illig, S., Losada, T., Grodsky, S. A., Gasparin, F., Lee, T., Mohino, E., Nobre, P., Wanninkhof, R., Keenlyside, N., Garcon, V., Sánchez-Gómez, E., Nnamchi, H. C., Drévillon, M., Storto, A., Remy, E., Lazar, A., Speich, S., Goes, M., Dorrington, T., Johns, W. E., Moum, J. N., Robinson, C., Perruche, C., de Souza, R. B., Gaye, A. T., López-Parages, J., Monerie, P.-A., Castellanos, P., Benson, N. U., Hounkonnou, M. N., Duhá, J. T., Laxenaire, R., & Reul, N.
- Venue
- Frontiers in Marine Science
- Publisher
- Frontiers Media SA
- Published
- 2019-05-10
- Volume
- 6
- ISSN
- 2296-7745 (ISSN-L)
- OpenAlex
- W2941834759
- Semantic Scholar
- ce9426756d98a06d013c4e74fa3ec0f8ceb3f6f2
- Cited by
- 150
- References
- 385
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 20 · 2023: 28 · 2022: 22 · 2021: 27 · 2020: 28 · 2019: 8
- FWCI
- 11.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Marine Science (publishedVersion, cc-by)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (acceptedVersion, cc-by)
- Helmholtz Centre for Ocean Research Kiel (GEOMAR) (acceptedVersion, other-oa)
- UEA Digital Repository (University of East Anglia) (acceptedVersion, cc-by)
- CentAUR (University of Reading) (acceptedVersion)
- HAL (Le Centre pour la Communication Scientifique Directe) (submittedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, cc-by)
- Docta Complutense (Universidad Complutense de Madrid) (submittedVersion, cc-by)
- HAL (Le Centre pour la Communication Scientifique Directe) (submittedVersion)
- Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) (submittedVersion, other-oa)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- NOAA Institutional Repository (submittedVersion, cc-by)
- Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) (submittedVersion)
- Funders
- National Oceanic and Atmospheric Administration
- Topics
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal ecosystems
- Keywords
- PIRATA, ocean observing systems, Atlantic meridional overturning circulation, multidecadal variability, interannual to decadal variability, climate change, air-sea CO2 flux, Amazon River plume, eastern boundary upwelling, equatorial upwelling, hurricanes, ocean biogeochemistry, vertical mixing, data sharing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-16.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-16.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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