FN Archimer Export Format
PT J
TI Strong winds in a coupled wave-atmosphere model during a North Atlantic storm event: evaluation against observations
BT 
AF PINEAU-GUILLOU, Lucia
   ARDHUIN, Fabrice
   BOUIN, Marie-Noelle
   REDELSPERGER, Jean-Luc
   CHAPRON, Bertrand
   BIDLOT, Jean-Raymond
   QUILFEN, Yves
AS 1:1;2:1;3:1,2,3;4:1;5:1;6:4;7:1;
FF 1:PDG-ODE-LOPS-OC;2:;3:;4:;5:PDG-ODE-LOPS-SIAM;6:;7:PDG-ODE-LOPS-SIAM;
C1 UBO, IFREMER, CNRS, IRD,LOPS,UMR 6523,IUEM, Plouzane, France.
   Meteo France, CNRM, UMR 3589, Toulouse, France.
   CNRS, Toulouse, France.
   European Ctr Medium Range Weather Forecasts, Reading, Berks, England.
C2 IFREMER, FRANCE
   CNRM (METEO FRANCE), FRANCE
   CNRS, FRANCE
   ECMWF, UK
SI BREST
SE PDG-ODE-LOPS-OC
   PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-europe
IF 3.198
TC 26
UR https://archimer.ifremer.fr/doc/00410/52118/52826.pdf
LA English
DT Article
DE ;air-sea exchanges;northeast Atlantic;winds;IFS;sea state;roughness length;drag coefficient;wind stress
AB Strong winds may be biased in atmospheric models. Here the ECMWF coupled wave-atmosphere model is used (1) to evaluate strong winds against observations, (2) to test how alternative wind stress parameterizations could lead to a more accurate model. For the period of storms Kaat and Lilli (23 to 27 January 2014), we compared simulated winds with in-situ – moored buoys and platforms - and satellite observations available from the North Atlantic. Five wind stress parameterizations were evaluated. The first result is that moderate simulated winds (5-20 m s-1) match with all observations. However, for strong winds (above 20 m s-1), mean differences appear, as much as -7 m s-1 at 30 m s-1. Significant differences also exist between observations, with buoys and ASCAT-KNMI generally showing lower wind speeds than the platforms and other remote sensing data used in this study (AMSR2, ASCAT-RSS, WindSat, SMOS and JASON-2). It is difficult to conclude which dataset should be used as a reference. Even so, buoy and ASCAT-KNMI winds are likely to underestimate the real wind speed. The second result is that common wave-age dependent parameterizations produce unrealistic drags and are not appropriate for coupling, whereas a newly empirically-adjusted Charnock parameterization leads to higher winds compared to the default ECMWF parameterization. This proposed new parameterization may lead to more accurate results in an operational context. 
PY 2018
PD JAN
SO Quarterly Journal Of The Royal Meteorological Society
SN 0035-9009
PU Wiley
VL 144
IS 711 Part.B
UT 000428462300002
BP 317
EP 332
DI 10.1002/qj.3205
ID 52118
ER

EF