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Errors in SMOS Sea Surface Salinity and their dependency on a priori wind speed ArchiMer
Yin, Xiaobin; Boutin, Jacqueline; Martin, Nicolas; Spurgeon, Paul; Vergely, Jean-luc; Gaillard, Fabienne.
The wind speed (WS) provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) is used to initialize the retrieval process of WS and Sea Surface Salinity (SSS) obtained by the Soil Moisture and Ocean Salinity (SMOS) mission. This process compensates for the lack of onboard instrument providing a measure of ocean surface WS independent of the L-band radiometer measurements. The SMOS-retrieved WS in the center of the swath (± 300 km) is adjusted regarding to its a priori estimate. The quality of the SMOS-retrieved SSS (SSSSMOS) is better at the center of the swath than at the edge of the swatch because the larger number of brightness temperature measurements available at the center of the swath reduces the effects of noise and because the...
Tipo: Text Palavras-chave: SMOS; SSMIS; ECMWF; Wind speed; Salinity.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00158/26970/25261.pdf
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An Updated Geophysical Model for AMSR-E and SSMIS Brightness Temperature Simulations over Oceans ArchiMer
Zabolotskikh, Elizaveta; Mitnik, Leonid; Chapron, Bertrand.
In this study, we considered the geophysical model for microwave brightness temperature (BT) simulation for the Atmosphere-Ocean System under non-precipitating conditions. The model is presented as a combination of atmospheric absorption and ocean emission models. We validated this model for two satellite instruments-for Advanced Microwave Sounding Radiometer-Earth Observing System (AMSR-E) onboard Aqua satellite and for Special Sensor Microwave Imager/Sounder (SSMIS) onboard F16 satellite of Defense Meteorological Satellite Program (DMSP) series. We compared simulated BT values with satellite BT measurements for different combinations of various water vapor and oxygen absorption models and wind induced ocean emission models. A dataset of clear sky...
Tipo: Text Palavras-chave: Calibration; Geophysical model; Numerical simulation; SSMIS; AMSR-E; Satellite passive microwave.
Ano: 2014 URL: https://archimer.ifremer.fr/doc/00190/30101/28628.pdf
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