FN Archimer Export Format
PT J
TI Improved near real time surface wind resolution over the Mediterranean Sea
BT 
AF BENTAMY, Abderrahim
   AYINA, Ludos-Herve
   QUEFFEULOU, Pierre
   CROIZE-FILLON, Denis
   KERBAOL, Vincent
AS 1:1;2:1;3:1;4:1;5:1,2;
FF 1:PDG-DOP-DCB-OPS-LOS;2:PDG-DOP-DCB-OPS-LOS;3:PDG-DOP-DCB-OPS-LOS;4:PDG-DOP-DCB-OPS-LOS;5:PDG-DRO-OS-LOS;
C1 IFREMER, Ctr Brest, DOPS, F-20280 Plouzane, France.
   BOOST Technol, F-29280 Plouzane, France.
C2 IFREMER, FRANCE
   BOOST TECHNOL, FRANCE
SI BREST
SE PDG-DOP-DCB-OPS-LOS
   PDG-DRO-OS-LOS
IN WOS Ifremer jusqu'en 2018
   copubli-france
IF 0.937
TC 34
UR https://archimer.ifremer.fr/doc/2007/publication-3528.pdf
LA English
DT Article
AB 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 Meteo-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 degrees 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 degrees 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.
PY 2007
PD MAY
SO Ocean Science
SN 1812-0784
PU European Geosciences Union (EGU)
VL 3
IS 2
UT 000250832700008
BP 259
EP 271
ID 3528
ER

EF