A Multivariate Regression Approach to Adjust AATSR Sea Surface Temperature to In Situ Measurements

Author

Tandeo, Pierre ; Autret, Emmanuelle ; Piollé, Jean François ; Tournadre, Jean ; Ailliot, Pierre

Author_Institution

Lab. d´´Oceanogr. Spatiale, Inst. Francais de Rech. pour IExploitation de la Mer (IFREMER), Plouzane

Volume

6

Issue

1

fYear

2009

Firstpage

8

Lastpage

12

Abstract

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%).

Keywords

ocean temperature; radiometers; remote sensing; AATSR-derived SST products; Advanced Along-Track Scanning Radiometer; Envisat; Medspiration AATSR SST biases; aerosol optical depth; colocated in situ drifting buoys; dynamical matchup database; in situ measurements; linear regression; multivariate regression approach; sea surface temperature; wind speed; Advanced Along-Track Scanning Radiometer (AATSR); remote sensing; sea surface temperature (SST); validation;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2008.2006568

Filename

4671098