TY - JOUR T1 - A Multivariate Regression Approach to Adjust AATSR Sea Surface Temperature to In Situ Measurements A1 - Tandeo,Pierre A1 - Autret,Emmanuelle A1 - Piolle,Jean-Francois A1 - Tournadre,Jean A1 - Ailliot,Pierre AD - IFREMER, Lab Oceanog Spatiale, F-29280 Plouzane, France. AD - Univ Bretagne Occidentale, Dept Math, F-29200 Brest, France. UR - https://archimer.ifremer.fr/doc/00000/6135/ DO - 10.1109/LGRS.2008.2006568 KW - Validation KW - Sea surface temperature (SST) KW - Remote sensing KW - Advanced Along Track Scanning Radiometer (AATSR) N2 - 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%). Y1 - 2009 PB - IEEE JF - IEEE Geoscience and Remote Sensing Letters SN - 1545-598X VL - 6 IS - 1 SP - 8 EP - 12 ID - 6135 ER -