FN Archimer Export Format
PT J
TI Observing and Studying Extreme Low Pressure Events with Altimetry
BT 
AF CARRERE, Loren
   MERTZ, Francoise
   DORANDEU, Joel
   QUILFEN, Yves
   PATOUX, Jerome
AS 1:1;2:1;3:1;4:2;5:3;
FF 1:;2:;3:;4:PDG-DOP-DCB-OPS-LOS;5:;
C1 CLS, F-31520 Ramonville St Agne, France.
   IFREMER, F-29280 Plouzane, France.
   Univ Washington, Seattle, WA 98195 USA.
C2 CLS, FRANCE
   IFREMER, FRANCE
   UNIV WASHINGTON, USA
SI BREST
SE PDG-DOP-DCB-OPS-LOS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-int-hors-europe
IF 1.821
TC 2
UR https://archimer.ifremer.fr/doc/2009/publication-6350.pdf
LA English
DT Article
DE ;Barotropic model;Sea level pressure;Extra tropical depressions;Tropical cyclones;Detection;Altimetry
AB The ability of altimetry to detect extreme low pressure events and the relationship between sea level pressure and sea level anomalies during extra-tropical depressions have been investigated. Specific altimeter treatments have been developed for tropical cyclones and applied to obtain a relevant along-track sea surface height (SSH) signal: the case of tropical cyclone Isabel is presented here. The S- and C-band measurements are used because they are less impacted by rain than the Ku-band, and new sea state bias (SSB) and wet troposphere corrections are proposed. More accurate strong altimeter wind speeds are computed thanks to the Young algorithm. Ocean signals not related to atmospheric pressure can be removed with accuracy, even within a Near Real Time context, by removing the maps of sea level anomaly (SLA) provided by SSALTO/Duacs. In the case of Extra-Tropical Depressions, the classical altimeter processing can be used. Ocean signal not related to atmospheric pressure is along-track filtered. The sea level pressure (SLP)-SLA relationship is investigated for the North Atlantic, North Pacific and Indian oceans; three regression models are proposed allowing restoring an altimeter SLP with a mean error of 5 hPa if compared to ECMWF or buoys SLP. The analysis of barotropic simulation outputs points out the regional variability of the SLP/Model Sea Level relationship and the wind effects.
PY 2009
PD MAR
SO Sensors
SN 1424-8220
PU Molecular Diversity Preservation International
VL 9
IS 3
UT 000264572700002
BP 1306
EP 1329
DI 10.3390/s90301306
ID 6350
ER

EF