• DocumentCode
    1295728
  • Title

    Assimilation of Drifter Data in a Circulation Model of the Indian Ocean

  • Author

    Santoki, Manisha ; Ratheesh, Smitha ; Sharma, Rashmi ; Joshipura, K.N. ; Basu, Sujit

  • Author_Institution
    Dept. of Phys., Sardar Patel Univ., Vallabh Vidyanagar, India
  • Volume
    9
  • Issue
    1
  • fYear
    2012
  • Firstpage
    100
  • Lastpage
    103
  • Abstract
    Assimilation of drifter data in a circulation model of the Indian Ocean has been explored in the study. Assimilation has been effected using the approach of nudging. The impact of such assimilation has been quantified by comparing the sea level anomalies simulated in runs with and without assimilation against independent observations derived by satellites. It has been found that the assimilation leads to an overall improvement in the quality of simulation. The surface currents simulated in the two runs have been compared with the observed current at a moored equatorial buoy, and the impact of assimilation has been found to be positive. The improvement in forecast capability has also been judged in a representative example. The degree of improvement in the mentioned examples, although not quite negligible, is not too high because of the paucity of the number of drifters deployed. It has been conjectured that such assimilation, when coupled with assimilation of other surface data derived by satellites, may lead to significant enhancement of the quality of simulation.
  • Keywords
    data assimilation; oceanographic regions; sea level; Indian Ocean circulation model; drifter data assimilation; forecast capability; moored equatorial buoy; nudging approach; satellite-derived surface data; sea level anomaly; surface current simulation; Correlation; Data models; Mathematical model; Satellites; Sea surface; Weather forecasting; Data assimilation; Indian Ocean circulation model; drifter data;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2011.2161455
  • Filename
    5982081