FN Archimer Export Format
PT J
TI New models for satellite altimeter sea state bias correction developed using global wave model data
BT 
AF TRAN, N
   VANDEMARK, D
   CHAPRON, Bertrand
   LABROUE, S
   FENG, H
   BECKLEY, B
   VINCENT, Patrick
AS 1:1;2:2;3:3;4:1;5:4;6:5;7:6;
FF 1:;2:;3:PDG-DOP-DCB-OPS-LOS;4:;5:;6:;7:PDG-DPS;
C1 CLS, Space Oceanog Div, F-31520 Ramonville St Agne, France.
   NASA, Goddard Space Flight Ctr, Wallops Isl, VA 23337 USA.
   IFREMER, Ctr Brest, F-29280 Plouzane, France.
   Hampton Univ, Ctr Atmospher Sci, Hampton, VA 23668 USA.
   Raytheon Informat Technol & Sci Serv, Landover, MD 20774 USA.
   CNES, Toulouse, France.
C2 CLS, FRANCE
   NASA, USA
   IFREMER, FRANCE
   UNIV HAMPTON, USA
   RAYTHEON INFORMAT TECHNOL & SCI SERV, USA
   CNES, FRANCE
SI BREST
   SIEGE
SE PDG-DOP-DCB-OPS-LOS
   PDG-DPS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-int-hors-europe
IF 2.8
TC 16
UR https://archimer.ifremer.fr/doc/2006/publication-1824.pdf
LA English
DT Article
DE ;Ocean wave model;Altimetry;Sea state bias
AB Sea level determination via satellite altimetry is subject to numerous error sources. One of these is the sea state bias where changing surface wave conditions alter an altimeter's estimate of mean sea level. Recent work suggests that present day methods for correcting this bias, based solely on wave and wind information from the altimeter, may be improved if additional surface gravity wave field measurements become available. This paper tests this hypothesis by developing several new sea state bias correction models using a year long combination of Jason-1 data with wave field statistics generated from an hindcast of the WaveWatch3 ocean wave model. Each candidate model is produced in the same manner; through a nonparametric mapping between Jason-1 sea surface height anomaly estimates and two correlatives. The first is always the significant wave height from Jason-1 and the model differences come through choice of the second variable. Past studies dictate our selection of these second parameters and they include terms related to the local wind speed, swell energy, wave age, wave period, and wave slope. Evaluation of model skill is conducted in term of explained variance. Several candidate models do indicate promise for wave model use in future empirical developments. Results show that in the low latitudes the models developed using the swell height and mean period, modestly outperform the operational parameterisation of the bias model. Thus this study indicates that systematic regional error in the present sea level corrections may be improved by inclusion of wave model information.
PY 2006
PD SEP
SO Journal of geophysical research
SN 0148-0227
PU American Geophysical Union
VL 111
IS C9
UT 000240421900002
DI 10.1029/2005JC003406
ID 1824
ER

EF