Improvement in air–sea flux estimates derived from satellite observations

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dc.contributor.authorBentamy, Abderrahim
dc.contributor.authorGrodsky, Semyon
dc.contributor.authorKatsaros, Kristina
dc.contributor.authorMestas-Nuñez, Alberto M.
dc.contributor.authorBlanke, Bruno
dc.contributor.authorDesbiolles, Fabien
dc.creator.orcidhttp://orcid.org/0000-0002-0670-1356en_US
dc.creator.orcidhttp://orcid.org/0000-0002-1309-0952en_US
dc.creator.orcidhttp://orcid.org/0000-0002-8047-602Xen_US
dc.creator.orcidhttps://orcid.org/0000-0002-0670-1356
dc.creator.orcidhttps://orcid.org/0000-0002-1309-0952
dc.creator.orcidhttps://orcid.org/0000-0002-8047-602X
dc.creator.orcidhttps://orcid.org/0000-0002-0670-1356
dc.creator.orcidhttps://orcid.org/0000-0002-1309-0952
dc.creator.orcidhttps://orcid.org/0000-0002-8047-602Xhttp://orcid.org/0000-0002-0670-1356
dc.creator.orcidhttp://orcid.org/0000-0002-1309-0952
dc.creator.orcidhttp://orcid.org/0000-0002-8047-602X
dc.date.accessioned2022-03-22T21:27:19Z
dc.date.available2022-03-22T21:27:19Z
dc.date.issued2013-04-17
dc.description.abstractA new method is developed to estimate daily turbulent air–sea fluxes over the global ocean on a 0.25° grid. The required surface wind speed (w 10) and specific air humidity (q 10) at 10 m height are both estimated from remotely sensed measurements. w 10 is obtained from the SeaWinds scatterometer on board the QuikSCAT satellite. A new empirical model relating brightness temperatures (T b) from the Special Sensor Microwave Imager (SSM/I) and q 10 is developed. It is an extension of the author's previous q 10 model. In addition to T b, the empirical model includes sea surface temperature (SST) and air–sea temperature difference data. The calibration of the new empirical q 10 model utilizes q 10 from the latest version of the National Oceanography Centre air–sea interaction gridded data set (NOCS2.0). Compared with mooring data, the new satellite q 10 exhibits better statistical results than previous estimates. For instance, the bias, the root mean square (RMS), and the correlation coefficient values estimated from comparisons between satellite and moorings in the northeast Atlantic and the Mediterranean Sea are –0.04 g kg−1, 0.87 g kg−1, and 0.95, respectively. The new satellite q 10 is used in combination with the newly reprocessed QuikSCAT V3, the latest version of SST analyses provided by the National Climatic Data Center (NCDC), and 10 m air temperature estimated from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalyses (ERA-Interim), to determine three daily gridded turbulent quantities at 0.25° spatial resolution: surface wind stress, latent heat flux (LHF), and sensible heat flux (SHF). Validation of the resulting fields is performed through a comprehensive comparison with daily, in situ values of LHF and SHF from buoys. In the northeast Atlantic basin, the satellite-derived daily LHF has bias, RMS, and correlation of 5 W m−2, 27 W m−2, and 0.89, respectively. For SHF, the statistical parameters are –2 W m−2, 10 W m−2, and 0.94, respectively. At global scale, the new satellite LHF and SHF are compared to NOCS2.0 daily estimates. Both daily fluxes exhibit similar spatial and seasonal variability. The main departures are found at latitudes south of 40° S, where satellite latent and sensible heat fluxes are generally larger.en_US
dc.identifier.citationBentamy, A., Grodsky, S.A., Katsaros, K., Mestas-Nuñez, A.M., Blanke, B. and Desbiolles, F., 2013. Improvement in air–sea flux estimates derived from satellite observations. International Journal of Remote Sensing, 34(14), pp.5243-5261.en_US
dc.identifier.doihttps://doi.org/10.1080/01431161.2013.787502
dc.identifier.urihttps://hdl.handle.net/1969.6/90305
dc.language.isoen_USen_US
dc.publisherTaylor & Francis Onlineen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectair-seaen_US
dc.subjectsatelliteen_US
dc.subjectobservationsen_US
dc.titleImprovement in air–sea flux estimates derived from satellite observationsen_US
dc.typeArticleen_US

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