The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Linking El Niño Southern Oscillation for early drought detection in tropical climates: The Ecuadorian coast
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Harsh and prolonged La Niña droughts can minimize the effects of the rainy season and devastate the region's agricultural economy and drinking water supply.
“Although not as immediate and dramatic as extreme El Niño rain events, harsh and prolonged La Niña droughts can minimize the effects of the rainy season and devastate the region's agricultural economy and drinking water supply (Vicente-Serrano et al. 2016;Zambrano Mera, Rivadeneira Vera, and Pérez-Martín 2018).”
From In between the sites: understanding late holocene manteño agricultural contexts in the chongón-colonche mountains of coastal ecuador through UAV-lidar and excavation (2025) · cites this paper as Zambrano Mera, Rivadeneira Vera, and Pérez-Martín 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Attribution of climate extreme events
Trenberth, K. E., Fasullo, J. T., & Shepherd, T. G. (2015) · Nature Climate Change · doi:10.1038/nclimate2657 · Cited by 982
Flagged first, then by citations
Research works printed but not linked: 53
- Baringer, 2010, State of the climate in 2009, Bull. Am. Meteorol. Soc., 91
- Barlow, 2001, ENSO, Pacific decadal variability, and US summertime precipitation, drought, and stream flow, J. Clim., 14, 2105, 10.1175/1520-0442(2001)014<2105:EPDVAU>2.0.CO;2 · DOI
- Barua, 2015, Drought assessment and forecasting: a case study on the Yarra River catchment in Victoria, Australia, Australas. J. Water Resour., 15, 95, 10.7158/13241583.2012.11465393 · DOI
- Bell, 1999, Climate assessment for 1998, Bull. Am. Meteorol. Soc., 80, 1040, 10.1175/1520-0477(1999)080<1040:CAF>2.0.CO;2 · DOI
- Bhalme, 1980, Large-scale droughts/floods and monsoon circulation, Mon. Weather Rev., 108, 1197, 10.1175/1520-0493(1980)108<1197:LSDAMC>2.0.CO;2 · DOI
- Chiew, 1998, El Nino/Southern Oscillation and Australian rainfall, streamflow and drought: links and potential for forecasting, J. Hydrol., 204, 138, 10.1016/S0022-1694(97)00121-2 · DOI
- Cid-Serrano, 2015, Analysis of the Latin American west coast rainfall predictability using an ENSO index, Atmosfera, 28, 191, 10.20937/ATM.2015.28.03.04 · DOI
- Coelho, 2002, Exploring the impacts of the tropical Pacific SST on the precipitation patterns over South America during ENSO periods, Theor. Appl. Climatol., 71, 185, 10.1007/s007040200004 · DOI
- Dai, 2011, Characteristics and trends in various forms of the Palmer Drought Severity Index during 1900–2008, J. Geophys. Res.-Atmos., 116, 10.1029/2010JD015541 · DOI
- De Martino, 2012, Experimental assessment of level pool routing in preliminary design of floodplain storage, Sci. Total Environ., 416, 142, 10.1016/j.scitotenv.2011.11.032 · DOI
- De Paola, 2015, Sustainable development of storm-water systems in African cities considering climate change, Procedia Eng., 119, 1181, 10.1016/j.proeng.2015.08.970 · DOI
- De Paola, 2013, Antecedent moisture condition (SCS) frequency assessment: a case study in southern Italy, Irrig. Drain., 62, 61, 10.1002/ird.1801 · DOI
- Díaz, 2014, Uso correcto de la correlación cruzada en Climatología: el caso de la presión atmosférica entre Taití y Darwin, Terra Nueva Etapa, 30, 79
- Engle, 2013, The role of drought preparedness in building and mobilizing adaptive capacity in states and their community water systems, Clim. Chang., 118, 291, 10.1007/s10584-012-0657-4 · DOI
- Estrela, 2012, Drought management plans in the European Union. The Case of Spain, Water Resour. Manag., 26, 1537, 10.1007/s11269-011-9971-2 · DOI
- Gómez-Martínez, 2018, North Atlantic oscillation as a cause of the hydrological changes in the Mediterranean (Júcar River, Spain), Water Resour. Manag., 1
- Gommes, 1996, Rainfall variability and drought in sub-Saharan Africa, Adapt. FAO Agrometeorol. Ser. Work. Pap., 9
- Gutiérrez, 2014, Drought preparedness in Brazil, Weather Clim. Extrem., 3, 95, 10.1016/j.wace.2013.12.001 · DOI
- Haile, 2005, Weather patterns, food security and humanitarian response in sub-Saharan Africa, Philos. Trans. R. Soc. B Biol. Sci., 360, 2169, 10.1098/rstb.2005.1746 · DOI
- Hayes, 1996, Drought indexes, Natl. Drought Mitig. Cent. Univ. Nebraska–Lincoln, 7
- Latrubesse, 2005, Tropical rivers, Geomorphology, 70, 187, 10.1016/j.geomorph.2005.02.005 · DOI
- Lee, 2016, Teleconnections of the ENSO and South Korean precipitation patterns, J. Hydrol., 534, 237, 10.1016/j.jhydrol.2016.01.011 · DOI
- Liu, 1996, Monitoring regional drought using the Vegetation Condition Index, Int. J. Remote Sens., 17, 2761, 10.1080/01431169608949106 · DOI
- Mersel, 2013, Estimation of river depth from remotely sensed hydraulic relationships, Water Resour. Res., 49, 3165, 10.1002/wrcr.20176 · DOI
- Meza, 2013, Recent trends and ENSO influence on droughts in Northern Chile: An application of the Standardized Precipitation Evapotranspiration Index, Weather Clim. Extrem., 1, 51, 10.1016/j.wace.2013.07.002 · DOI
- Mishra, 2010, A review of drought concepts, J. Hydrol., 391, 202, 10.1016/j.jhydrol.2010.07.012 · DOI
- Moriasi, 2007, Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Trans. ASABE, 50, 885, 10.13031/2013.23153 · DOI · Paper page
- Neelin, 2000, Variations in ENSO phase locking, J. Clim., 13, 2570, 10.1175/1520-0442(2000)013<2570:VIEPL>2.0.CO;2 · DOI
- Ortega-Gómez, 2018, Improvement of the drought indicators system in the Júcar River Basin, Spain, Sci. Total Environ., 610–611, 276, 10.1016/j.scitotenv.2017.07.250 · DOI
- Özger, 2009, Low frequency drought variability associated with climate indices, J. Hydrol., 364, 152, 10.1016/j.jhydrol.2008.10.018 · DOI
- Palmer, 1968, Keeping track of crop moisture conditions, nationwide: the new crop moisture index, Weatherwise, 21, 156, 10.1080/00431672.1968.9932814 · DOI
- Pedro-Monzonís, 2015, A review of water scarcity and drought indexes in water resources planning and management, J. Hydrol., 527, 482, 10.1016/j.jhydrol.2015.05.003 · DOI
- Pérez-Martín, 2014, Modeling water resources and river-aquifer interaction in the Júcar River basin, Spain, Water Resour. Manag., 28, 4337, 10.1007/s11269-014-0755-3 · DOI
- Pielke, 1999, La Niña, El Niño and Atlantic Hurricane Damages in the United States, Bull. Am. Meteorol. Soc., 80, 2027, 10.1175/1520-0477(1999)080<2027:LNAENO>2.0.CO;2 · DOI
- Saghafian, 2017, Effect of ENSO on annual maximum floods and volume over threshold in the southwestern region of Iran, Hydrol. Sci. J., 62, 1039, 10.1080/02626667.2017.1296229 · DOI
- Shiferaw, 2014, Managing vulnerability to drought and enhancing livelihood resilience in sub-Saharan Africa: technological, institutional and policy options, Weather Clim. Extrem., 3, 67, 10.1016/j.wace.2014.04.004 · DOI
- Thornthwaite, 1948, An approach toward a rational classification of climate, Geogr. Rev., 38, 55, 10.2307/210739 · DOI
- van der Schrier, 2006, Summer moisture variability across Europe, J. Clim., 19, 2818, 10.1175/JCLI3734.1 · DOI
- van der Schrier, 2006, Summer moisture availability across North America, J. Geophys. Res.-Atmos., 111, 10.1029/2005JD006745 · DOI
- van der Schrier, 2007, European Alpine moisture variability for 1800–2003, Int. J. Climatol., 27, 415, 10.1002/joc.1411 · DOI
- Van Rooy, 1965, A rainfall anomaly index independent of time and space, Notos, 14, 43
- Vargas, 2006, ENSO tropical–extratropical climate teleconnections and mechanisms for Holocene debris flows along the hyperarid coast of western South America (17°–24°S), Earth Planet. Sci. Lett., 249, 467, 10.1016/j.epsl.2006.07.022 · DOI
- Verbist, 2010, Seasonal Predictability of Daily Rainfall Characteristics in Central Northern Chile for Dry-Land Management, J. Appl. Meteorol. Climatol., 49, 1938, 10.1175/2010JAMC2372.1 · DOI
- Vicente-Serrano, 2011, A multiscalar global evaluation of the impact of ENSO on droughts, J. Geophys. Res.-Atmos., 116, 10.1029/2011JD016039 · DOI
- Vicente-Serrano, 2016, The complex influence of ENSO on droughts in Ecuador, Clim. Dyn., 48, 405, 10.1007/s00382-016-3082-y · DOI · Paper page
- Vicente-Serrano, 2009, A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index, J. Clim., 23, 1696, 10.1175/2009JCLI2909.1 · DOI
- Wang, 2015, Assessing the impact of ENSO on drought in the U.S. Southwest with NCEP climate model simulations, J. Hydrol., 526, 30, 10.1016/j.jhydrol.2014.12.012 · DOI
- Wells, 2004, A self-calibrating Palmer Drought Severity Index, J. Clim., 17, 2335, 10.1175/1520-0442(2004)017<2335:ASPDSI>2.0.CO;2 · DOI
- Wilhite, 1991, Drought planning: a process for state government, JAWRA J. Am. Water Resour. Assoc., 27, 29, 10.1111/j.1752-1688.1991.tb03110.x · DOI
- Wilhite, 2000, Planning for drought: moving from crisis to risk management, JAWRA J. Am. Water Resour. Assoc., 36, 697, 10.1111/j.1752-1688.2000.tb04299.x · DOI
- Wong, 2013, Probabilistic analysis of hydrological drought characteristics using meteorological drought, Hydrol. Sci. J., 58, 253, 10.1080/02626667.2012.753147 · DOI
- Yuan, 2016, Regional sea-surface temperatures explain spatial and temporal variation of summer precipitation in the source region of the Yellow River, Hydrol. Sci. J., 61, 1383, 10.1080/02626667.2015.1035658 · DOI
- Zolotokrylin, 2016, Wet and dry patterns associated with ENSO events in the Sonoran Desert from, 2000–2015, J. Arid Environ., 134, 21, 10.1016/j.jaridenv.2016.06.014 · DOI
Cited by
Sorted by citations
Garzón-Oechsle, A., Johanson, E., Nagarajan, S., & Martínez, V. (2025) · Journal of Field Archaeology · doi:10.1080/00934690.2024.2439223 · Cited by 3
Metadata
- Authors
- Zambrano Mera, Y. E., Rivadeneira Vera, J. F., & Pérez-Martín, M. Á.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 643
- Pages
- 193-207
- ISSN
- 0048-9697
- Cited by
- 57
- References
- 1
- Language
- en
- Funders
- Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (323-2012)
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.
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review