Impact of Argo data assimilation in an ocean general circulation model

Neeraj Agarwal; Rashmi Sharma; Sujit Basu; Vijay K. Agarwal

doi:10.1117/12.693674

12 December 2006 Impact of Argo data assimilation in an ocean general circulation model

Neeraj Agarwal, Rashmi Sharma, Sujit Basu, Vijay K. Agarwal

Proceedings Volume 6404, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions; 64040Z (2006) https://doi.org/10.1117/12.693674
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

Abstract

In this study global temperature profiles available from Argo have been assimilated into an Ocean General Circulation Model (OGCM) to study its impact on ocean temperatures. In the control run the model was forced with daily QuickSCAT derived scatterometer winds for the period Jan-June 2004 and air temperature, specific humidity, net shortwave and net long wave radiation from NCEP reanalysis. Two assimilation experiments were performed for Jan-Jun 2004; one in which the monthly averaged Argo profiles were assimilated in the OGCM using nudging technique (Exp-1) and another experiment (Exp-2) in which daily data from Argo was assimilated into the OGCM using Cressman technique. Temperature outputs from all the three runs (control and assimilation runs) were first inter-compared and then compared with independent observations from one of the Indian Ocean TRITON buoys. Errors in surface temperature at the TRITON buoy location are reduced by 37% and 16% in Exp-1 and Exp-2 respectively. However, the variance explained in surface temperature with respect to observations is reduced in the assimilated runs as compared to the control run. Subsurface features like ILD and D20 show significant improvement in terms of error reduction in both the experiments implying improvement in the mixed layer and the thermocline region. Exp-2 scores over Exp-1 in terms of the explained variance of ILD and D20. This is so because in exp-1 monthly averaged data is assimilated which constraints the high frequency variability of the parameter.

Citation Download Citation

Neeraj Agarwal, Rashmi Sharma, Sujit Basu, and Vijay K. Agarwal "Impact of Argo data assimilation in an ocean general circulation model", Proc. SPIE 6404, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions, 64040Z (12 December 2006); https://doi.org/10.1117/12.693674

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KEYWORDS

Data modeling

Atmospheric modeling

Climatology

Satellites

Solar thermal energy

Temperature metrology

Error analysis

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