FN Archimer Export Format
PT J
TI A Multivariate Regression Approach to Adjust AATSR Sea Surface Temperature to In Situ Measurements
BT 
AF TANDEO, Pierre
   AUTRET, Emmanuelle
   PIOLLE, Jean-Francois
   TOURNADRE, Jean
   AILLIOT, Pierre
AS 1:1;2:1;3:1;4:1;5:2;
FF 1:;2:PDG-DOP-DCB-OPS-LOS;3:PDG-DOP-DCB-OPS-LOS;4:PDG-DOP-DCB-OPS-LOS;5:;
C1 IFREMER, Lab Oceanog Spatiale, F-29280 Plouzane, France.
   Univ Bretagne Occidentale, Dept Math, F-29200 Brest, France.
C2 IFREMER, FRANCE
   UBO, FRANCE
SI BREST
SE PDG-DOP-DCB-OPS-LOS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 1.379
TC 6
UR https://archimer.ifremer.fr/doc/2009/publication-6135.pdf
LA English
DT Article
DE ;Validation;Sea surface temperature (SST);Remote sensing;Advanced Along Track Scanning Radiometer (AATSR)
AB The Advanced Along-Track Scanning Radiometer (AATSR) onboard Envisat is designed to provide very accurate measurements of sea surface temperature (SST). Using colocated in situ drifting buoys, a dynamical matchup database (MDB) is used to assess the AATSR-derived SST products more precisely. SST biases are then computed. Currently, Medspiration AATSR SST biases are discrete values and can introduce artificial discontinuities in AATSR level-2 SST fields. The new AATSR SST biases presented in this letter are continuous. They are computed, for nighttime and best proximity confidence data, by linear regression with different MDB covariables (wind speed, latitude, aerosol optical depth, etc.). As found, the difference between dual-view and nadir-only SST products explains most of the variability (26%).
PY 2009
SO IEEE Geoscience and Remote Sensing Letters
SN 1545-598X
PU IEEE
VL 6
IS 1
UT 000262539200003
BP 8
EP 12
DI 10.1109/LGRS.2008.2006568
ID 6135
ER

EF