Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Registro completo
Provedor de dados:  ArchiMer
País:  France
Título:  A Multivariate Regression Approach to Adjust AATSR Sea Surface Temperature to In Situ Measurements
Autores:  Tandeo, Pierre
Autret, Emmanuelle
Piolle, Jean-francois
Tournadre, Jean
Ailliot, Pierre
Data:  2009
Ano:  2009
Palavras-chave:  Validation
Sea surface temperature (SST)
Remote sensing
Advanced Along Track Scanning Radiometer (AATSR)
Resumo:  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%).
Tipo:  Text
Idioma:  Inglês
Identificador:  http://archimer.ifremer.fr/doc/2009/publication-6135.pdf

DOI:10.1109/LGRS.2008.2006568
Editor:  IEEE
Relação:  http://archimer.ifremer.fr/doc/00000/6135/
Formato:  application/pdf
Fonte:  IEEE Geoscience and Remote Sensing Letters (1545-598X) (IEEE), 2009 , Vol. 6 , N. 1 , P. 8-12
Direitos:  2009 IEEE – All Rights Reserved
Fechar
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional