Improved near real time surface wind resolution over the Mediterranean Sea

Several scientific programs, including the Mediterranean Forecasting System Toward Environmental Predictions (MFSTEP project), request high space and time resolutions of surface wind speed and direction. The purpose of this paper is to focus on surface wind improvements over the global Mediterranean...

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Main Authors: V. Kerbaol, D. Croize-Fillon, P. Queffeulou, H.-L. Ayina, A. Bentamy
Format: Article
Language:English
Published: Copernicus Publications 2007-05-01
Series:Ocean Science
Online Access:http://www.ocean-sci.net/3/259/2007/os-3-259-2007.pdf
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spelling doaj-9b53be52a0584a2c8dd48e694cad8c2f2020-11-24T21:19:27ZengCopernicus PublicationsOcean Science1812-07841812-07922007-05-0132259271Improved near real time surface wind resolution over the Mediterranean SeaV. KerbaolD. Croize-FillonP. QueffeulouH.-L. AyinaA. BentamySeveral scientific programs, including the Mediterranean Forecasting System Toward Environmental Predictions (MFSTEP project), request high space and time resolutions of surface wind speed and direction. The purpose of this paper is to focus on surface wind improvements over the global Mediterranean Sea, based on the blending near real time remotely sensed wind observations and ECMWF wind analysis. Ocean surface wind observations are retrieved from QuikSCAT scatterometer and from SSM/I radiometers available at near real time at Météo-France. Using synchronous satellite data, the number of remotely sensed data available for each analysis epoch (00:00 h; 06:00 h; 12:00 h; 18:00 h) is not uniformly distributed as a function of space and time. On average two satellite wind observations are available for each analysis time period. The analysis is performed by optimum interpolation (OI) based on the kriging approach. The needed covariance matrixes are estimated from the satellite wind speed, zonal and meridional component observations. The quality of the 6-hourly resulting blended wind fields on 0.25° grid are investigated trough comparisons with the remotely sensed observations as well as with moored buoy wind averaged wind estimates. The blended wind data and remotely wind observations, occurring within 3 h and 0.25° from the analysis estimates, compare well over the global basin as well as over the sub-basins. The correlation coefficients exceed 0.95 while the rms difference values are less than 0.30 m/s. Using measurements from moored buoys, the high-resolution wind fields are found to have similar accuracy as satellite wind retrievals. Blended wind estimates exhibit better comparisons with buoy moored in open sea than near shore. http://www.ocean-sci.net/3/259/2007/os-3-259-2007.pdf
collection DOAJ
language English
format Article
sources DOAJ
author V. Kerbaol
D. Croize-Fillon
P. Queffeulou
H.-L. Ayina
A. Bentamy
spellingShingle V. Kerbaol
D. Croize-Fillon
P. Queffeulou
H.-L. Ayina
A. Bentamy
Improved near real time surface wind resolution over the Mediterranean Sea
Ocean Science
author_facet V. Kerbaol
D. Croize-Fillon
P. Queffeulou
H.-L. Ayina
A. Bentamy
author_sort V. Kerbaol
title Improved near real time surface wind resolution over the Mediterranean Sea
title_short Improved near real time surface wind resolution over the Mediterranean Sea
title_full Improved near real time surface wind resolution over the Mediterranean Sea
title_fullStr Improved near real time surface wind resolution over the Mediterranean Sea
title_full_unstemmed Improved near real time surface wind resolution over the Mediterranean Sea
title_sort improved near real time surface wind resolution over the mediterranean sea
publisher Copernicus Publications
series Ocean Science
issn 1812-0784
1812-0792
publishDate 2007-05-01
description Several scientific programs, including the Mediterranean Forecasting System Toward Environmental Predictions (MFSTEP project), request high space and time resolutions of surface wind speed and direction. The purpose of this paper is to focus on surface wind improvements over the global Mediterranean Sea, based on the blending near real time remotely sensed wind observations and ECMWF wind analysis. Ocean surface wind observations are retrieved from QuikSCAT scatterometer and from SSM/I radiometers available at near real time at Météo-France. Using synchronous satellite data, the number of remotely sensed data available for each analysis epoch (00:00 h; 06:00 h; 12:00 h; 18:00 h) is not uniformly distributed as a function of space and time. On average two satellite wind observations are available for each analysis time period. The analysis is performed by optimum interpolation (OI) based on the kriging approach. The needed covariance matrixes are estimated from the satellite wind speed, zonal and meridional component observations. The quality of the 6-hourly resulting blended wind fields on 0.25° grid are investigated trough comparisons with the remotely sensed observations as well as with moored buoy wind averaged wind estimates. The blended wind data and remotely wind observations, occurring within 3 h and 0.25° from the analysis estimates, compare well over the global basin as well as over the sub-basins. The correlation coefficients exceed 0.95 while the rms difference values are less than 0.30 m/s. Using measurements from moored buoys, the high-resolution wind fields are found to have similar accuracy as satellite wind retrievals. Blended wind estimates exhibit better comparisons with buoy moored in open sea than near shore.
url http://www.ocean-sci.net/3/259/2007/os-3-259-2007.pdf
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