Paper Info
Title
Assimilation of Drifter Data in a Circulation Model of the Indian Ocean.
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.
Year
DOI
Venue
2012
10.1109/LGRS.2011.2161455
IEEE Geosci. Remote Sensing Lett.
Keywords
Field
DocType
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,Data assimilation,Indian Ocean circulation model,drifter data
Meteorology,Assimilation (phonology),Buoy,Satellite,Sea level,Drifter,Ocean current,Data assimilation,Climatology,Weather forecasting,Mathematics
Journal
Volume
Issue
ISSN
9
1
1545-598X
Citations 
PageRank 
References 
2
0.73
0
Authors
5
Name
Order
Citations
PageRank
Manisha Santoki120.73
Smitha Ratheesh261.40
Rashmi Sharma3164.70
K. N. Joshipura420.73
Sujit Basu5155.19