Improvement in airsea flux estimates derived from satellite observations

A new method is developed to estimate daily turbulent airsea fluxes over the global ocean on a 0.25 degrees grid. The required surface wind speed (w(10)) and specific air humidity (q(10)) at 10m height are both estimated from remotely sensed measurements. w(10) is obtained from the SeaWinds scattero...

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Published in:International Journal of Remote Sensing
Main Authors: Bentamy, Abderrahim, Grodsky, Semyon A., Katsaros, Kristina, Mestas-nunez, Alberto M., Blanke, Bruno, Desbiolles, Fabien
Format: Article in Journal/Newspaper
Language:English
Published: Taylor & Francis Ltd 2013
Subjects:
Online Access:https://archimer.ifremer.fr/doc/00137/24825/23575.pdf
https://doi.org/10.1080/01431161.2013.787502
https://archimer.ifremer.fr/doc/00137/24825/
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spelling ftarchimer:oai:archimer.ifremer.fr:24825 2023-05-15T17:41:24+02:00 Improvement in airsea flux estimates derived from satellite observations Bentamy, Abderrahim Grodsky, Semyon A. Katsaros, Kristina Mestas-nunez, Alberto M. Blanke, Bruno Desbiolles, Fabien 2013-07 application/pdf https://archimer.ifremer.fr/doc/00137/24825/23575.pdf https://doi.org/10.1080/01431161.2013.787502 https://archimer.ifremer.fr/doc/00137/24825/ eng eng Taylor & Francis Ltd https://archimer.ifremer.fr/doc/00137/24825/23575.pdf doi:10.1080/01431161.2013.787502 https://archimer.ifremer.fr/doc/00137/24825/ 2013 Taylor & Francis info:eu-repo/semantics/openAccess restricted use International Journal Of Remote Sensing (0143-1161) (Taylor & Francis Ltd), 2013-07 , Vol. 34 , N. 14 , P. 5243-5261 text Publication info:eu-repo/semantics/article 2013 ftarchimer https://doi.org/10.1080/01431161.2013.787502 2021-09-23T20:23:00Z A new method is developed to estimate daily turbulent airsea fluxes over the global ocean on a 0.25 degrees grid. The required surface wind speed (w(10)) and specific air humidity (q(10)) at 10m 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 airsea temperature difference data. The calibration of the new empirical q(10) model utilizes q(10) from the latest version of the National Oceanography Centre airsea 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 0.04gkg(1), 0.87gkg(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 10m 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 degrees 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 5Wm(2), 27Wm(2), and 0.89, respectively. For SHF, the statistical parameters are 2Wm(2), 10Wm(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 degrees S, where satellite latent and sensible heat fluxes are generally larger. Article in Journal/Newspaper Northeast Atlantic Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) International Journal of Remote Sensing 34 14 5243 5261
institution Open Polar
collection Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer)
op_collection_id ftarchimer
language English
description A new method is developed to estimate daily turbulent airsea fluxes over the global ocean on a 0.25 degrees grid. The required surface wind speed (w(10)) and specific air humidity (q(10)) at 10m 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 airsea temperature difference data. The calibration of the new empirical q(10) model utilizes q(10) from the latest version of the National Oceanography Centre airsea 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 0.04gkg(1), 0.87gkg(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 10m 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 degrees 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 5Wm(2), 27Wm(2), and 0.89, respectively. For SHF, the statistical parameters are 2Wm(2), 10Wm(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 degrees S, where satellite latent and sensible heat fluxes are generally larger.
format Article in Journal/Newspaper
author Bentamy, Abderrahim
Grodsky, Semyon A.
Katsaros, Kristina
Mestas-nunez, Alberto M.
Blanke, Bruno
Desbiolles, Fabien
spellingShingle Bentamy, Abderrahim
Grodsky, Semyon A.
Katsaros, Kristina
Mestas-nunez, Alberto M.
Blanke, Bruno
Desbiolles, Fabien
Improvement in airsea flux estimates derived from satellite observations
author_facet Bentamy, Abderrahim
Grodsky, Semyon A.
Katsaros, Kristina
Mestas-nunez, Alberto M.
Blanke, Bruno
Desbiolles, Fabien
author_sort Bentamy, Abderrahim
title Improvement in airsea flux estimates derived from satellite observations
title_short Improvement in airsea flux estimates derived from satellite observations
title_full Improvement in airsea flux estimates derived from satellite observations
title_fullStr Improvement in airsea flux estimates derived from satellite observations
title_full_unstemmed Improvement in airsea flux estimates derived from satellite observations
title_sort improvement in airsea flux estimates derived from satellite observations
publisher Taylor & Francis Ltd
publishDate 2013
url https://archimer.ifremer.fr/doc/00137/24825/23575.pdf
https://doi.org/10.1080/01431161.2013.787502
https://archimer.ifremer.fr/doc/00137/24825/
genre Northeast Atlantic
genre_facet Northeast Atlantic
op_source International Journal Of Remote Sensing (0143-1161) (Taylor & Francis Ltd), 2013-07 , Vol. 34 , N. 14 , P. 5243-5261
op_relation https://archimer.ifremer.fr/doc/00137/24825/23575.pdf
doi:10.1080/01431161.2013.787502
https://archimer.ifremer.fr/doc/00137/24825/
op_rights 2013 Taylor & Francis
info:eu-repo/semantics/openAccess
restricted use
op_doi https://doi.org/10.1080/01431161.2013.787502
container_title International Journal of Remote Sensing
container_volume 34
container_issue 14
container_start_page 5243
op_container_end_page 5261
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