• DocumentCode
    31926
  • Title

    Assessment of Satellite-Derived Sea Surface Salinity in the Indian Ocean

  • Author

    Ratheesh, S. ; Mankad, B. ; Basu, S. ; Kumar, R. ; Sharma, R.

  • Author_Institution
    Atmos. & Oceanic Sci. Group, Space Applic. Centre, Ahmedabad, India
  • Volume
    10
  • Issue
    3
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    428
  • Lastpage
    431
  • Abstract
    The study has been motivated by the desire to assess the performance of sea surface salinity (SSS) from the Soil Moisture and Ocean Salinity (SMOS) satellite launched by the European Space Agency. Daily Level 3 product on a 0.25° × 0.25° grid for the year 2010 has been used for this assessment in the Indian Ocean. Various data sets, like the in situ data sets available from the Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) buoys and Argo floats and also the data sets from modular ocean model version 3 simulations, have been utilized for this purpose. Comparison made at two buoy locations suggests good quality of SMOS SSS with root-mean-square error of the order of 0.36 and 0.34 psu. The triple collocation method, which explicitly takes into account the error characteristics of the SMOS, Argo, and model data sets, has been used for further validation of the SMOS data. Since the Indian Ocean exhibits characteristically different patterns of SSS in its different subregions, the study area has been divided into different such subregions. The SMOS-derived SSS appears to be of very good quality in the equatorial Indian Ocean and southern Indian Ocean, while the data are of poorer quality in the Arabian Sea and the Bay of Bengal possibly because of the errors in SSS retrieval due to the land contamination and strong winds.
  • Keywords
    mean square error methods; ocean temperature; oceanographic regions; wind; AD 2010; African-Asian-Australian Monsoon Analysis and Prediction buoys; Arabian Sea; Argo floats; Bay of Bengal; European Space Agency; Research Moored Array; SMOS SSS; SMOS error characteristics; SSS retrieval; Soil Moisture and Ocean Salinity satellite; equatorial Indian Ocean; in situ data sets; land contamination; modular ocean model version 3 simulations; root-mean-square error; satellite-derived sea surface salinity assessment; sea surface salinity performance; southern Indian Ocean; strong wind effect; triple collocation method; Atmospheric modeling; Data models; Satellites; Sea measurements; Sea surface salinity; Argo floats; Research Moored Array for African–Asian–Australian Monsoon Analysis and Prediction (RAMA) buoys; Soil Moisture and Ocean Salinity (SMOS) salinity; functional relationship (FR); modular ocean model (MOM) version 3 (MOM3) ocean model; triple collocation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2207943
  • Filename
    6266690