Review and assessment of latent and sensible heat flux accuracy over the global oceans.
Open accessAbstract
For over a decade, several research groups have been developing air-sea heat flux information over the global ocean, including latent (LHF) and sensible (SHF) heat fluxes over the global ocean. This paper aims to provide new insight into the quality and error characteristics of turbulent heat flux estimates at various spatial and temporal scales (from daily upwards). The study is performed within the European Space Agency (ESA) Ocean Heat Flux (OHF) project. One of the main objectives of the OHF project is to meet the recommendations and requirements expressed by various international programs such as the World Research Climate Program (WCRP) and Climate and Ocean Variability, Predictability, and Change (CLIVAR), recognizing the need for better characterization of existing flux errors with respect to the input bulk variables (e.g. surface wind, air and sea surface temperatures , air and surface specific humidities), and to the atmospheric and oceanic conditions (e.g. wind conditions and sea state). The analysis is based on the use of daily averaged LHF and SHF and the associated bulk variables derived from major satellite-based and atmospheric reanalysis products. Inter-comparisons of heat flux products indicate that all of them exhibit similar space and time patterns. However, they also reveal significant differences in magnitude in some specific regions such as the western ocean boundaries during the Northern Hemisphere winter season, and the high southern latitudes. The differences tend to be closely related to large differences in surface wind speed and/or specific air humidity (for LHF) and to air and sea temperature differences (for SHF). Further quality investigations are performed through comprehensive comparisons with daily-averaged LHF and SHF estimated from moorings. The resulting statistics are used to assess the error of each OHF product. Consideration of error correlation between products and observations (e.g., by their assimilation) is also given. This reveals generally high noise variance in all products and a weak signal in common with in situ observations, with some products only slightly better than others. The OHF LHF and SHF products, and their associated error characteristics, are used to compute daily OHF multiproduct-ensemble (OHF/MPE) estimates of LHF and SHF over the ice-free global ocean on a 0.25° × 0.25° grid. The accuracy of this heat multiproduct, determined from comparisons with mooring data, is greater than for any individual product. It is used as a reference for the anomaly characterization of each individual OHF product.
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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).”
From The tropical atlantic observing system (2019) · cites this paper as Bentamy et al., 2017
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
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Cites
The ERA‐Interim reanalysis: configuration and performance of the data assimilation system
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.828 · Cited by 24,480 · see citing works
Summarizing multiple aspects of model performance in a single diagram
Taylor, K. E. (2001) · Journal of Geophysical Research Atmospheres · doi:10.1029/2000jd900719 · Cited by 8,927 · see citing works
The NCEP Climate Forecast System Reanalysis
Saha, S., Moorthi, S., Pan, H., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R. E., Woollen, J. S., Behringer, D. W., et al. (2010) · Bulletin of the American Meteorological Society · doi:10.1175/2010bams3001.1 · Cited by 5,160 · see citing works
MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications
Rienecker, M. M., Suárez, M. J., Gelaro, R., Todling, R., Bacmeister, J. T., Liu, E., Bosilovich, M. G., Schubert, S. D., Takacs, L. L., Kim, G.-K., et al. (2011) · Journal of Climate · doi:10.1175/jcli-d-11-00015.1 · Cited by 4,856 · see citing works
Daily High-Resolution-Blended Analyses for Sea Surface Temperature
Reynolds, R. W., Smith, T. M., Liu, C., Chelton, D. B., Casey, K. S., & Schlax, M. G. (2007) · Journal of Climate · doi:10.1175/2007jcli1824.1 · Cited by 4,350 · see citing works
A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures
Akima, H. (1970) · Journal of the ACM · doi:10.1145/321607.321609 · Cited by 2,097 · see citing works
Trenberth, K. E., Fasullo, J., & Kiehl, J. T. (2008) · Bulletin of the American Meteorological Society · doi:10.1175/2008bams2634.1 · Cited by 1,993 · see citing works
Wind stress on a water surface
Charnock, H. (1955) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49708135027 · Cited by 1,961 · see citing works
Atlas, R. M., Hoffman, R. N., Ardizzone, J. V., Leidner, S. M., Jusem, J. C., Smith, D. K., & Gombos, D. (2010) · Bulletin of the American Meteorological Society · doi:10.1175/2010bams2946.1 · Cited by 973 · see citing works
Toward the true near‐surface wind speed: Error modeling and calibration using triple collocation
Stoffelen, A. (1998) · Journal of Geophysical Research Atmospheres · doi:10.1029/97jc03180 · Cited by 895 · see citing works
A well‐calibrated ocean algorithm for special sensor microwave / imager
Wentz, F. J. (1997) · Journal of Geophysical Research: Oceans · doi:10.1029/96jc01751 · Cited by 837 · see citing works
Yu, L., Jin, X., & Weller, R. A. (2008) · Cited by 538 · see citing works
The parametrization of surface fluxes in large‐scale models under free convection
Beljaars, A. C. M. (1995) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49712152203 · Cited by 518 · see citing works
ICOADS Release 2.5: extensions and enhancements to the surface marine meteorological archive
Woodruff, S. D., Worley, S. J., Lubker, S. J., Ji, Z., Freeman, E., Berry, D. I., Brohan, P., Kent, E. C., Reynolds, R. W., Smith, S. R., et al. (2010) · International Journal of Climatology · doi:10.1002/joc.2103 · Cited by 462 · see citing works
Self-citationAn imperative to monitor Earth's energy imbalance
von Schuckmann, K., Palmer, M. D., Trenberth, K. E., Cazenave, A., Chambers, D. P., Champollion, N., Hansen, J. E., Josey, S. A., Loeb, N. G., Mathieu, P. ‐., et al. (2016) · Nature Climate Change · doi:10.1038/nclimate2876 · Cited by 445 · see citing works
Self-citationMcColl, K. A., Vogelzang, J., Konings, A. G., Entekhabi, D., Piles, M., & Stoffelen, A. (2014) · Geophysical Research Letters · doi:10.1002/2014gl061322 · Cited by 438 · see citing works
ICOADS Release 3.0: a major update to the historical marine climate record
Freeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E., Berry, D. I., Brohan, P., Eastman, R. M., Gates, L., et al. (2016) · International Journal of Climatology · doi:10.1002/joc.4775 · Cited by 416 · see citing works
Self-citationRecent advances in (soil moisture) triple collocation analysis
Gruber, A., Su, C., Zwieback, S., Crow, W. T., Dorigo, W. A., & Wagner, W. (2015) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2015.09.002 · Cited by 370 · see citing works
The Past, Present, and Future of the AVHRR Pathfinder SST Program
Casey, K. S., Brandon, T. B., Cornillon, P., & Evans, R. H. (2010) · Springer eBooks · doi:10.1007/978-90-481-8681-5_16 · Cited by 350 · see citing works
North Atlantic Ocean control on surface heat flux on multidecadal timescales
Gulev, S., Latif, M., Keenlyside, N. S., Park, W., & Koltermann, K. P. (2013) · Nature · doi:10.1038/nature12268 · Cited by 314 · see citing works
Self-citationGridded surface wind fields from metop/ASCAT measurements.
Bentamy, A., & Fillon, D. C. (2012) · International Journal of Remote Sensing · doi:10.1080/01431161.2011.600348 · Cited by 241 · see citing works
Self-citationAnderson, E., & Järvinen, H. J. (1999) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49712555416 · Cited by 208 · see citing works
The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data – HOAPS-3
Andersson, A., Fennig, K., Klepp, C., Bakan, S., Graßl, H., & Schulz, J. (2010) · Earth system science data · doi:10.5194/essd-2-215-2010 · Cited by 207 · see citing works
A New Air–Sea Interaction Gridded Dataset from ICOADS With Uncertainty Estimates
Berry, D. I., & Kent, E. C. (2008) · Bulletin of the American Meteorological Society · doi:10.1175/2008bams2639.1 · Cited by 176 · see citing works
Brodeau, L., Barnier, B., Gulev, S., & Woods, C. (2016) · Journal of Physical Oceanography · doi:10.1175/jpo-d-16-0169.1 · Cited by 149 · see citing works
Self-citationA Deterministic Algorithm for Robust Location and Scatter
Mia Hubert, B., Rousseeuw, P. J., & Verdonck, T. (2012) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2012.672100 · Cited by 140 · see citing works
Beyond triple collocation: Applications to soil moisture monitoring
Su, C., Ryu, D., Crow, W. T., & Western, A. W. (2014) · Journal of Geophysical Research Atmospheres · doi:10.1002/2013jd021043 · Cited by 131 · see citing works
Roberts, J. B., Clayson, C. A., Robertson, F. R., & Jackson, D. L. (2010) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009jd013099 · Cited by 84 · see citing works
Self-citationSchlüssel, P., Schanz, L., & Englisch, G. (1995) · Advances in Space Research · doi:10.1016/0273-1177(95)00389-v · Cited by 78 · see citing works
A comparison of nine monthly air–sea flux products
Smith, S. R., Hughes, P. J., & Bourassa, M. A. (2010) · International Journal of Climatology · doi:10.1002/joc.2225 · Cited by 74 · see citing works
Self-citationIntercomparison and Validation of Ocean-Atmosphere Energy Flux fields,
Taylor, P. (2000) · Cited by 73 · see citing works
Evaluation of HOAPS-3 Ocean Surface Freshwater Flux Components
Andersson, A., Klepp, C., Fennig, K., Bakan, S., Graßl, H., & Schulz, J. (2010) · Journal of Applied Meteorology and Climatology · doi:10.1175/2010jamc2341.1 · Cited by 69 · see citing works
Gulev, S., Jung, T. J., & Ruprecht, E. (2007) · Journal of Climate · doi:10.1175/jcli4010.1 · Cited by 62 · see citing works
Self-citationToward an Intercalibrated Fundamental Climate Data Record of the SSM/I Sensors
Sapiano, M. R. P., Berg, W. K., McKague, D. S., & Kummerow, C. D. (2012) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2012.2206601 · Cited by 62 · see citing works
Improvement in air–sea flux estimates derived from satellite observations
Bentamy, A., Grodsky, S. A., Katsaros, K. B., Mestas‐Nuñez, A. M., Blanke, B., & Desbiolles, F. (2013) · International Journal of Remote Sensing · doi:10.1080/01431161.2013.787502 · Cited by 61 · see citing works
Self-citationGulev, S., & Belyaev, K. P. (2011) · Journal of Climate · doi:10.1175/2011jcli4211.1 · Cited by 59 · see citing works
Self-citationIntraseasonal Latent Heat Flux Based on Satellite Observations
Grodsky, S. A., Bentamy, A., Carton, J. A., & Pinker, R. T. (2009) · Journal of Climate · doi:10.1175/2009jcli2901.1 · Cited by 50 · see citing works
Self-citationHomogenization of scatterometer wind retrievals
Bentamy, A., Grodsky, S. A., Elyouncha, A., Chapron, B., & Desbiolles, F. (2016) · International Journal of Climatology · doi:10.1002/joc.4746 · Cited by 43 · see citing works
Self-citationGulev, S., Jung, T. J., & Ruprecht, E. (2007) · Journal of Climate · doi:10.1175/jcli4008.1 · Cited by 43 · see citing works
Self-citationA Guide to Making Climate Quality Meteorological and Flux Measurements at Sea.
Bradley, E. F., & Farall, C. (2021) · IOC of UNESCO (Intergovernmental Oceanographic Commission) · doi:10.25607/obp-1353 · Cited by 42 · see citing works
Unexpected impacts of the Tropical Pacific array on reanalysis surface meteorology and heat fluxes
Josey, S. A., Yu, L., Gulev, S., Jin, X., Tilinina, N. D., Barnier, B., & Brodeau, L. (2014) · Geophysical Research Letters · doi:10.1002/2014gl061302 · Cited by 40 · see citing works
Self-citationImpact of Synoptic Atmospheric Forcing on the Mean Ocean Circulation
Wu, Y. S., Zhai, X., & Wang, Z. (2016) · Journal of Climate · doi:10.1175/jcli-d-15-0819.1 · Cited by 31 · see citing works
Tomita, H., & Kubota, M. (2006) · Journal of Geophysical Research Atmospheres · doi:10.1029/2005jc003013 · Cited by 27 · see citing works
Ayina, L.-H., Bentamy, A., Mestas‐Nuñez, A. M., & Madec, G. (2006) · Journal of Climate · doi:10.1175/jcli3939.1 · Cited by 23 · see citing works
Self-citationNew Approaches for Air-Sea Fluxes in the Southern Ocean
Gille, S. T., Josey, S. A., & Swart, S. (2016) · Eos · doi:10.1029/2016eo052243 · Cited by 16 · see citing works
Self-citationExploitation of error correlation in a large analysis validation: GlobCurrent case study
Danielson, R. E., Johannessen, J. A., Quartly, G. D., Rio, M., Chapron, B., Collard, F., & Donlon, C. J. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.07.016 · Cited by 15 · see citing works
Self-citationMestas‐Nuñez, A. M., Bentamy, A., & Katsaros, K. B. (2006) · Journal of Climate · doi:10.1175/jcli3721.1 · Cited by 9 · see citing works
Self-citationThe ENSO footprint in monthly satellite evaporation over the global ocean during 1993–2007
Mestas‐Nuñez, A. M., Kelly, F. J., Bentamy, A., & Katsaros, K. B. (2013) · Remote Sensing Letters · doi:10.1080/2150704x.2013.788259 · Cited by 4 · see citing works
Self-citationCarlin (2002) · doi:10.1175/1520-0442(2002)015
Shay (2000) · doi:10.1175/1520-0493(2000)128
Latif, M. (1999) · doi:10.1175/1520-0442(1999)012
Self-citationMcHugh, M. (2004) · doi:10.1175/1520-0442(2004)017
- Self-citation
Flagged first, then by citations
2 of the 56 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Chou, S.-H., E. Nelkin, J. Ardizzone, R. M. Atlas, and C.-L. Shie, 2003: Surface turbulent heat and momentum fluxes over global oceans based on the Goddard satellite retrieval, version 2 (GSSTF2). Journal of Climate, 16, 3256-3273.
- Clayson, C. A., J. B. Roberts, and A. Bogdanoff, 2013: SEAFLUX Version 1: a new satellite- based ocean-atmosphere turbulent flux dataset. International Journal of Climatology, in revision
- Danielson, R. E., 2017. Collocations of ICOADS and Ocean Heat Flux (centered five-day) latent and sensible heat flux estimates. SEANOE online data archive at http://doi.org/10.17882/_____, in preparation. · DOI
- Louis, J. F., M. Tiedtke, and J. Geleyn, 1982: A short history of the operational PBL parameterization at ECMWF. Proc. Workshop on Planetary Boundary Layer Parameterization, Reading, United Kingdom, ECMWF, 59-80.
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Biri, S., Cornes, R., Berry, D. I., Kent, E. C., & Yelland, M. J. (2023) · Frontiers in Marine Science · doi:10.3389/fmars.2022.1049168 · Cited by 21 · see citing works
Imprint of Mesoscale Eddies on Air-Sea Interaction in the Tropical Atlantic Ocean
Aguedjou, H. M., Chaigneau, A., Dadou, I., Morel, Y. G., Baloïtcha, E., & Da‐Allada, C. Y. (2023) · Remote Sensing · doi:10.3390/rs15123087 · Cited by 18 · see citing works
Yan, Y., Zhang, L., Song, X., Wang, G., & Chen, C. (2021) · Journal of Physical Oceanography · doi:10.1175/jpo-d-21-0128.1 · Cited by 19 · see citing works
Gangwar, R. K., & Thapliyal, P. K. (2020) · Remote Sensing · doi:10.3390/rs12193142 · Cited by 15 · see citing works
Exploitation of error correlation in a large analysis validation: GlobCurrent case study
Danielson, R. E., Johannessen, J. A., Quartly, G. D., Rio, M., Chapron, B., Collard, F., & Donlon, C. J. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.07.016 · Cited by 15 · see citing works
Self-citationRoberts, J. B., Clayson, C. A., & Robertson, F. R. (2019) · Earth and Space Science · doi:10.1029/2018ea000436 · Cited by 15 · see citing works
Self-citationKurumus, A. T., Bhattacharya, A., Tamadonfar, P., & Kaario, O. T. (2024) · Fuel · doi:10.1016/j.fuel.2024.132168 · Cited by 14 · see citing works
Sivam, S., Zhang, C., Zhang, D., Yu, L., & Dressel, I. M. (2024) · Frontiers in Marine Science · doi:10.3389/fmars.2024.1431718 · Cited by 13 · see citing works
Ambiguous Variations in Tropical Latent Heat Flux since the Years around 1998
Zhang, R., Guo, W., Wang, X., & Wang, C. (2023) · Journal of Climate · doi:10.1175/jcli-d-22-0381.1 · Cited by 12 · see citing works
Gvishiani, A. D., Rozenberg, I. N., Soloviev, A. A., Kostianoy, A. G., Gvozdik, S. A., Серых, И. В., Krasnoperov, R. I., Sazonov, N. V., Dubchak, I. A., Popov, A., et al. (2023) · Applied Sciences · doi:10.3390/app13095278 · Cited by 12 · see citing works
Xu, J., Liang, S., Ma, H., He, T., Zhang, Y., & Zhang, G. (2023) · Remote Sensing of Environment · doi:10.1016/j.rse.2023.113550 · Cited by 13 · see citing works
Evaluating nine different air-sea flux algorithms coupled with CAM6
Jiang, Y., Li, Y., Lu, Y., Wu, T., Zhang, J., & Gao, Z. (2024) · Atmospheric Research · doi:10.1016/j.atmosres.2024.107486 · Cited by 10 · see citing works
Diurnal Surface Flux Variability Over Western Boundary Currents
Clayson, C. A., & Edson, J. B. (2019) · Geophysical Research Letters · doi:10.1029/2019gl082826 · Cited by 10 · see citing works
Self-citationSkin Sea Surface Temperatures From the GOES-16 ABI Validated With Those of the Shipborne M-AERI
Luo, B., & Minnett, P. J. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3054895 · Cited by 10 · see citing works
Possible impacts of climate change on fog in the Arctic and subpolar North Atlantic
Danielson, R. E., Zhang, M., & Perrie, W. A. (2020) · Advances in statistical climatology, meteorology and oceanography · doi:10.5194/ascmo-6-31-2020 · Cited by 9 · see citing works
Self-citationAnnual and seasonal variability of net heat flux in the Northern Indian Ocean
Pinker, R. T., Bentamy, A., Grodsky, S. A., & Chen, W. (2020) · International Journal of Remote Sensing · doi:10.1080/01431161.2020.1746858 · Cited by 9 · see citing works
Self-citationLatent Heat Flux in the Agulhas Current
Njouodo, A. S. N., Rouault, M. P., & Johannessen, J. A. (2019) · Remote Sensing · doi:10.3390/rs11131576 · Cited by 9 · see citing works
Self-citationChen, X., Yao, Y., Li, Y., Zhang, Y., Jia, K., Zhang, X., Shang, K., Yang, J., Bei, X., & Guo, X. (2020) · Sensors · doi:10.3390/s20174773 · Cited by 9 · see citing works
Gorshenin, A. K., Osipova, A. A., & Belyaev, K. P. (2023) · Computers & Geosciences · doi:10.1016/j.cageo.2023.105461 · Cited by 8 · see citing works
Zhou, X., Ray, P., Barrett, B. S., & Hsu, P. (2022) · Atmospheric Research · doi:10.1016/j.atmosres.2022.106214 · Cited by 7 · see citing works
Hu, J., Tao, T., Jia, J., Zhao, T., Li, Q., & Yu, H. (2024) · Infrared Physics & Technology · doi:10.1016/j.infrared.2024.105129 · Cited by 7 · see citing works
Just How River‐Like Are Atmospheric Rivers?
LeGrande, A. N., Booth, J. F., Naud, C. M., Ordaz, C., & Crespo, J. A. (2024) · Geophysical Research Letters · doi:10.1029/2023gl105828 · Cited by 7 · see citing works
Yang, Y. M., Sun, H., Wang, J., Zhang, W., Zhao, G., Wang, W., Cheng, L., Chen, L., Qin, H., & Cai, Z. (2025) · Earth system science data · doi:10.5194/essd-17-1191-2025 · Cited by 7 · see citing works
Irreversible Thermodynamics of Seawater Evaporation
Feistel, R., & Hellmuth, O. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12010166 · Cited by 7 · see citing works
Kerns, B. W., & Chen, S. S. (2018) · Journal of Geophysical Research Atmospheres · doi:10.1029/2018jd028292 · Cited by 7 · see citing works
Gao, Q., Wang, S., & Yang, X. (2019) · Remote Sensing · doi:10.3390/rs11040466 · Cited by 6 · see citing works
Kong, B., Liu, N., Fan, L., Lin, L., Yang, L., Chen, H., Wang, Y., Zhang, Y., & Xu, Y. (2022) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.4346 · Cited by 6 · see citing works
Chen, X., Yao, Y., Zhao, S., Li, Y., Jia, K., Zhang, X., Shang, K., Xu, J., & Bei, X. (2020) · Advances in Meteorology · doi:10.1155/2020/8857618 · Cited by 6 · see citing works
Belyaev, K. P., Gorshenin, A. K., Korolev, V. Y., & Plekhanov, A. D. (2022) · Izvestiya Atmospheric and Oceanic Physics · doi:10.1134/s0001433822060044 · Cited by 6 · see citing works
Towards a realistic MISO simulation: impact of rectification
Pradhan, M., Rao, S. A., & Bhattacharya, A. (2024) · Climate Dynamics · doi:10.1007/s00382-023-07053-6 · Cited by 5 · see citing works
Gvishiani, A. D., Rozenberg, I. N., Soloviev, A. A., Krasnoperov, R. I., Shevaldysheva, O., Kostianoy, A. G., Lebedev, S. A., Dubchak, I. A., Sazonov, N., Nikitina, I., et al. (2023) · Rossijskij žurnal nauk o zemle/Russian journal of earth sciences · doi:10.2205/2023es000882 · Cited by 5 · see citing works
Yan, Y., Song, X., Wang, G., & Chen, C. (2022) · Journal of Geophysical Research Oceans · doi:10.1029/2021jc018094 · Cited by 5 · see citing works
Sea Surface Exchanges of Momentum, Heat, and Freshwater Determined by Satellite Remote Sensing
Yu, L. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-409548-9.11458-7 · Cited by 5 · see citing works
Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans
Li, X., Yang, J., Yan, Y., & Li, W. (2022) · Frontiers in Marine Science · doi:10.3389/fmars.2022.1001491 · Cited by 4 · see citing works
An optimal transformation method for inferring ocean tracer sources and sinks
Zika, J. D., & Sohail, T. (2024) · Geoscientific model development · doi:10.5194/gmd-17-8049-2024 · Cited by 4 · see citing works
Historical changes in hydroclimatic extreme events over Iran
Nourani, V., & Najafi, H. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-88456-3.00001-0 · Cited by 3 · see citing works
Cho, A., Song, H., Tak, Y., Yeh, S., An, S., Lee, S.-M., Ji, H., & Hyun, Y. (2022) · Climate Dynamics · doi:10.1007/s00382-022-06228-x · Cited by 3 · see citing works
Lin, J., Wang, Y., Pan, H., Wei, Z., & Xu, T. (2023) · Remote Sensing · doi:10.3390/rs15123161 · Cited by 3 · see citing works
An Overview of Air-Sea Heat Flux Products and CMIP6 HighResMIP Models in the Southern Ocean
Moura, R., Casagrande, F., & de Souza, R. B. (2025) · Atmosphere · doi:10.3390/atmos16040402 · Cited by 3 · see citing works
Luo, B., & Minnett, P. J. (2020) · Remote Sensing · doi:10.3390/rs12203279 · Cited by 3 · see citing works
Retrieval and validation of sea surface temperature from HY-1D COCTS
Liu, M., Guan, L., Fanli, L. I. U., Jianqiang, L. I. U., & 自然资源部 国家卫星海洋应用中心, 北. 1. N. S. O. A. S. (2023) · National Remote Sensing Bulletin · doi:10.11834/jrs.20221689 · Cited by 3 · see citing works
Mao, P., Yin, X., Zhang, Y., Ma, X., Ning, W., Li, Y., Xu, Q., & Jiang, X. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3460875 · Cited by 2 · see citing works
Myhre, G., Jouan, C., Stjern, C. W., & Hodnebrog, Ø. (2024) · Frontiers in Climate · doi:10.3389/fclim.2024.1383337 · Cited by 3 · see citing works
The Causal Relation within Air–Sea Interaction as Inferred from Observations
Yang, Y., Huang, R. X., Liang, X. S., Liu, Z., Hu, J., Zhao, Y., & Fu, G. (2024) · Journal of Climate · doi:10.1175/jcli-d-23-0742.1 · Cited by 2 · see citing works
Multi-Dilated Convolutional LSTM With U-Net for Global Sea Surface Temperature Forecasting
Janmaijaya, M., Rauniyar, A., Shukla, A. K., Kumar, S., Collier, R., & Muhuri, P. K. (2024) · IEEE Access · doi:10.1109/access.2024.3486914 · Cited by 2 · see citing works
Biri, S., Kent, E. C., Berry, D. I., Cornes, R., & Yelland, M. J. (2021) · doi:10.5194/egusphere-egu21-2947 · Cited by 2 · see citing works
Maruyama, T., Segawa, M., & Takimoto, H. (2024) · Hydrological Sciences Journal · doi:10.1080/02626667.2024.2420864 · Cited by 1 · see citing works
Enhancing Retrievals of Air-Sea Heat Fluxes From AMSR2 Microwave Observations Based on Deep Learning
Wang, M., Wang, H., & Li, X. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3586604 · Cited by 1 · see citing works
Gorshenin, A. K., Osipova, A. A., & Belyaev, K. P. (2025) · Computers & Geosciences · doi:10.1016/j.cageo.2025.106062 · Cited by 1 · see citing works
Deus Ex Machina Long-Term Cooling of the Eastern Pacific Cold Tongue in Ocean Reanalysis Data
Jiang, F., Seager, R., & Cane, M. A. (2026) · Journal of Climate · doi:10.1175/jcli-d-25-0356.1 · Cited by 1 · see citing works
Global water cycle studies from the perspective of space earth science
Jiancheng, S., Zhao, T., & Yang, X. (2021) · National Remote Sensing Bulletin · doi:10.11834/jrs.20219467 · Cited by 1 · see citing works
Kim, H. Y., Park, K., Joo, H., Lee, J., & Yang, J.-Y. (2023) · Journal of the Korean earth science society · doi:10.5467/jkess.2023.44.5.456 · Cited by 1 · see citing works
Koner, P. K. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.556626 · Cited by 1 · see citing works
CYGNSS Sea Surface Heat Flux Product Validation and Its Applicability
Lin, J., Wang, Y., & Xu, T. (2022) · MTS/IEEE OCEANS Conference (OCEANS) · doi:10.1109/oceans47191.2022.9977318 · Cited by 1 · see citing works
Wang, S., Zhou, W., Li, Y., Yin, X., Lv, X., & Xiang, K. (2021) · CIE International Conference on Radar (RADAR) · doi:10.1109/radar53847.2021.10028434 · Cited by 1 · see citing works
The Surface Wind Influence on the Heat Fluxes Variability on the South AtlanticPreprint
Lindemann, D. D. S., Ávila-Díaz, Á. J., Pezzi, L. P., Rodrigues, J. M., de Freitas, R. A. P., Coelho, L., Alonso, M. F., & Cerón, W. L. (2021) · Research Square · doi:10.21203/rs.3.rs-235260/v1 · Cited by 1 · see citing works
Grankov, A. G., Milshin, A. A., & Novichikhin, E. P. (2019) · Russian Meteorology and Hydrology · doi:10.3103/s106837391908003x
(2022) · Hydrology and earth system sciences · doi:10.5194/hess-2021-549-rc2
(2022) · Hydrology and earth system sciences · doi:10.5194/hess-2021-549-rc1
(2022) · Hydrology and earth system sciences · doi:10.5194/hess-2021-549-rc3
Jansen, F. A. (2022) · Hydrology and earth system sciences · doi:10.5194/hess-2021-549-ac1
Jansen, F. A. (2022) · Hydrology and earth system sciences · doi:10.5194/hess-2021-549-ac2
Jansen, F. A. (2022) · Hydrology and earth system sciences · doi:10.5194/hess-2021-549-ac3
Advances in Land–Ocean Heat Fluxes Using Remote Sensing
Yao, Y., Zhang, X., Levy, G., Jia, K., & Al‐Quraishi, A. M. F. (2022) · Remote Sensing · doi:10.3390/rs14143402
- Authors
- Bentamy, A., Piollé, J. F., Grouazel, A., Danielson, R., Gulev, S., Paul, F., Azelmat, H., Mathieu, P. P., von Schuckmann, K., Sathyendranath, S., Evers-King, H., Esau, I., Johannessen, J. A., Clayson, C. A., Pinker, R. T., Grodsky, S. A., Bourassa, M., Smith, S. R., Haines, K., Valdivieso, M., Merchant, C. J., Chapron, B., Anderson, A., Hollmann, R., & Josey, S. A.
- Affiliations
- Ifremer (FR)
- Nansen Environmental and Remote Sensing Center (NO)
- Institute of Oceanology. PP Shirshov Russian Academy of Sciences (RU)
- European Space Research Institute (IT)
- Plymouth Marine Laboratory (GB)
- Woods Hole Oceanographic Institution (US)
- University of Maryland, College Park (US)
- Florida State University (US)
- National Centre for Earth Observation (GB)
- University of Reading (GB)
- European Organisation for the Exploitation of Meteorological Satellites (DE)
- Corresponding author
- Bentamy, A.
- ORCID
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 201
- Pages
- 196-218
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2756493409
- Cited by
- 116
- References
- 56
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 16 · 2023: 15 · 2022: 21 · 2021: 9 · 2020: 12 · 2019: 17 · 2018: 10
- FWCI
- 7.09
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Remote Sensing of Environment (publishedVersion, other-oa)
- Marine Biological Association (acceptedVersion)
- CentAUR (University of Reading) (submittedVersion)
- HAL (submittedVersion, other-oa)
- Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) (submittedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Funders
- ESA (4000111424/14/I-AM)
- Russian Science Foundation (14-17-00697-II)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Ocean Waves and Remote Sensing
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- latent heat flux, sensible heat flux, air-sea heat flux, ocean heat flux, surface wind speed, specific humidity, sea surface temperature, global ocean
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