A 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 (w10) and specific air humidity (q10) at 10 m height are both estimated from remotely sensed measurements. w10 is obtained from the SeaWinds scatterometer on board the QuikSCAT satellite. A new empirical model relating brightness temperatures (Tb) from the Special Sensor Microwave Imager (SSM/I) and q10 is developed. It is an extension of the author's previous q10 model. In addition to Tb, the empirical model includes sea surface temperature (SST) and air–sea temperature difference data. The calibration of the new empirical q10 model utilizes q10 from the latest version of the National Oceanography Centre air–sea interaction gridded data set (NOCS2.0). Compared with mooring data, the new satellite q10 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 q10 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.

Bentamy, A., Grodsky, S., Katasaros, K., Mesta-Nunez, A., Blanke, B., Desbiolles, F. (2013). Improvement in air–sea flux estimates derived from satellite observations. INTERNATIONAL JOURNAL OF REMOTE SENSING, 34(14), 5243-5261 [10.1080/01431161.2013.787502].

Improvement in air–sea flux estimates derived from satellite observations

Desbiolles, F
2013

Abstract

A 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 (w10) and specific air humidity (q10) at 10 m height are both estimated from remotely sensed measurements. w10 is obtained from the SeaWinds scatterometer on board the QuikSCAT satellite. A new empirical model relating brightness temperatures (Tb) from the Special Sensor Microwave Imager (SSM/I) and q10 is developed. It is an extension of the author's previous q10 model. In addition to Tb, the empirical model includes sea surface temperature (SST) and air–sea temperature difference data. The calibration of the new empirical q10 model utilizes q10 from the latest version of the National Oceanography Centre air–sea interaction gridded data set (NOCS2.0). Compared with mooring data, the new satellite q10 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 q10 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.
Articolo in rivista - Articolo scientifico
Air-Sea fluxes from satellite
English
2013
34
14
5243
5261
none
Bentamy, A., Grodsky, S., Katasaros, K., Mesta-Nunez, A., Blanke, B., Desbiolles, F. (2013). Improvement in air–sea flux estimates derived from satellite observations. INTERNATIONAL JOURNAL OF REMOTE SENSING, 34(14), 5243-5261 [10.1080/01431161.2013.787502].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/408204
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