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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Comparison of Satellite-Derived Sea Surface Temperature and Sea Surface Salinity Gradients Using the Saildrone California/Baja and North Atlantic Gulf Stream Deployments

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Autor(es):
Vazquez-Cuervo, Jorge [1, 2] ; Gomez-Valdes, Jose [3] ; Bouali, Marouan [4]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 - USA
[2] 4800 Oak Grove Dr M-S 300-323, Pasadena, CA 91109 - USA
[3] Ctr Sci Res & Higher Educ Ensenada, Phys Oceanog Dept, Ensenada 22860, Baja California - Mexico
[4] Univ Sao Paulo, Inst Oceanog, BR-05508120 Sao Paulo - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: REMOTE SENSING; v. 12, n. 11 JUN 2020.
Citações Web of Science: 2
Resumo

Validation of satellite-based retrieval of ocean parameters like Sea Surface Temperature (SST) and Sea Surface Salinity (SSS) is commonly done via statistical comparison with in situ measurements. Because in situ observations derived from coastal/tropical moored buoys and Argo floats are only representatives of one specific geographical point, they cannot be used to measure spatial gradients of ocean parameters (i.e., two-dimensional vectors). In this study, we exploit the high temporal sampling of the unmanned surface vehicle (USV) Saildrone (i.e., one measurement per minute) and describe a methodology to compare the magnitude of SST and SSS gradients derived from satellite-based products with those captured by Saildrone. Using two Saildrone campaigns conducted in the California/Baja region in 2018 and in the North Atlantic Gulf Stream in 2019, we compare the magnitude of gradients derived from six different GHRSST Level 4 SST (MUR, OSTIA, CMC, K10, REMSS, and DMI) and two SSS (JPLSMAP, RSS40km) datasets. While results indicate strong consistency between Saildrone- and satellite-based observations of SST and SSS, this is not the case for derived gradients with correlations lower than 0.4 for SST and 0.1 for SSS products. (AU)

Processo FAPESP: 17/04887-0 - Estimativa de campos de Temperatura de Superfície do Mar (TSM) de alta resolução usando dados satélites multisensor
Beneficiário:Marouan Bouali
Linha de fomento: Auxílio à Pesquisa - Apoio a Jovens Pesquisadores
Processo FAPESP: 18/00528-9 - Estimativa de campos de temperatura de superfície do mar (TSM) de alta resolução usando dados satélites multisensor
Beneficiário:Marouan Bouali
Linha de fomento: Bolsas no Brasil - Apoio a Jovens Pesquisadores