FN Archimer Export Format
PT J
TI Correcting Sea Surface Temperature Spurious Effects in Salinity Retrieved From Spaceborne L-Band Radiometer Measurements
BT 
AF Boutin, Jacqueline
   Vergely, Jean-Luc
   Dinnat, Emmanuel P.
   Waldteufel, Philippe
   D'Amico, Francesco
   Reul, Nicolas
   Supply, Alexandre
   Thouvenin-Masson, Clovis
AS 1:1;2:2;3:3;4:4;5:5;6:6;7:7;8:7;
FF 1:;2:;3:;4:;5:;6:PDG-ODE-LOPS-SIAM;7:;8:;
C1 Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques-Institut Pierre Simon Laplace (LOCEAN-IPSL), Sorbonne Université, CNRS, IRD, MNHN, 75005 Paris, France
   ACRI-st, 78280 Guyancourt, France.
   Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771 USA.
   Cryospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771 USA.
   Argans, Plymouth PL6 8BU, U.K..
   Laboratoire d'Océanographie Physique et Spatial (LOPS), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), CNRS, IRD, Université de Bretagne Occidentale, 29238 Brest, France.
   LOCEAN-IPSL, Sorbonne Université, CNRS, IRD, MNHN, 75005 Paris, France.
C2 UNIV SORBONNE, FRANCE
   ACRI-ST, FRANCE
   NASA, USA
   NASA, USA
   ARGANS, UK
   IFREMER, FRANCE
   UNIV SORBONNE, FRANCE
SI TOULON
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
IF 8.125
TC 17
UR https://archimer.ifremer.fr/doc/00657/76943/78203.pdf
LA English
DT Article
DE ;Atmospheric modeling;Ocean temperature;Sea surface;Salinity (geophysical);Sea measurements;Dielectric constant;Temperature measurement;Dielectric constant;L-band microwave radiometry;sea surface salinity (SSS)
AB Earlier studies have pointed out systematic differences between sea surface salinity retrieved from L-band radiometric measurements and measured in situ, which depend on sea surface temperature (SST). We investigate how to cope with these differences given existing physically based radiative transfer models. In order to study differences coming from seawater dielectric constant parametrization, we consider the model of Somaraju and Trumpf (2006) (ST) which is built on sound physical bases and close to a single relaxation term Debye equation. While ST model uses fewer empirically adjusted parameters than other dielectric constant models currently used in salinity retrievals, ST dielectric constants are found close to those obtained using the Meissner and Wentz (2012) (MW) model. The ST parametrization is then slightly modified in order to achieve a better fit with seawater dielectric constant inferred from SMOS data. Upgraded dielectric constant model is intermediate between KS and MW models. Systematic differences between SMOS and in situ salinity are reduced to less than +/-0.2 above 0 °C and within +/-0.05 between 7 °C and 28 °C. Aquarius salinity becomes closer to in situ salinity, and within +/-0.1. The order of magnitude of remaining differences is very similar to the one achieved with the Aquarius version 5 empirical adjustment of wind model SST dependence. The upgraded parametrization is recommended for use in processing the SMOS data. Further assessment or improvement using new laboratory measurements should consider keeping the physics-based formulation by ST that has been shown here to be very efficient. 
PY 2021
PD SEP
SO Ieee Transactions On Geoscience And Remote Sensing
SN 0196-2892
PU Institute of Electrical and Electronics Engineers (IEEE)
VL 59
IS 9
UT 000690968800014
BP 7256
EP 7269
DI 10.1109/TGRS.2020.3030488
ID 76943
ER

EF