Bay of Bengal Sea surface salinity variability using a decade of improved SMOS re-processing-Reference-Cited by-同舟云学术

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Bay of Bengal Sea surface salinity variability using a decade of improved SMOS re-processing

Published:2020-10 Issue: Volume:248 Page:111964
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Akhil V.P.,Vialard J.,Lengaigne M.,Keerthi M.G.,Boutin J.,Vergely J.L.,Papa F.

Funder

Centre National d'Etudes Spatiales

TOSCA SMOS-Ocean

Institut de Recherche pour le Développement

Indian Ocean research

National Institute of Oceanography, India

CNES, France

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference57 articles.

1. A modeling study of the processes of surface salinity seasonal cycle in the bay of Bengal;Akhil;J. Geophys. Res. Oceans,2014

2. A modeling study of processes controlling the bay of Bengal Sea surface salinity interannual variability;Akhil;J. Geophys. Res. Oceans,2016

3. Assessment of seasonal and year-to-year surface salinity signals retrieved from SMOS and Aquarius missions in the Bay of Bengal;Akhil;Int. J. Remote Sens.,2016

4. Coupled dynamics over the Indian Ocean: spring initiation of the zonal mode;Annamalai;Deep-Sea Res. II Top. Stud. Oceanogr.,2003

5. An additive mask correction approach for reducing the systematic floor error in imaging radiometry by aperture synthesis;Anterrieu;IEEE Geosci. Remote Sens. Lett.,2015

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