Simulated heat content variability in the upper layers of the tropical Indian 
Ocean

Momin, I. M.; Agarwal, N.; Sharma, R.; Neetu,; Basu, S.; Sarkar, A.; Agarwal, V. K.

doi:10.1080/01490419.2011.572759

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Simulated heat content variability in the upper layers of the tropical Indian Ocean

MPS-Authors

/persons/resource/persons37077

Agarwal, N.
Max Planck Fellows, MPI for Meteorology, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Momin, I. M., Agarwal, N., Sharma, R., Neetu, Basu, S., Sarkar, A., et al. (2012). Simulated heat content variability in the upper layers of the tropical Indian Ocean. Marine Geodesy, 35, 66-81. doi:10.1080/01490419.2011.572759.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-844F-7

Abstract

The impact of satellite-derived precipitation on variability of sea-surface salinity (SSS) in the tropical Indian Ocean has been studied using an ocean general-circulation model. Two different experiments have been conducted. In one of the experiments, the model has been forced by precipitation derived from National Center for Environmental Prediction (NCEP) reanalysis, while in the other one, the model has been forced by satellite-derived precipitation. The time span of the experiments is 2003-2005. The simulations have been compared with data from buoy located at 90° and 1.5° S. The comparison suggests that the simulation forced by satellite precipitation captures the high-frequency variability much better than that forced by NCEP precipitation. The reason for this lies in the fact that the regions of high-frequency variability in SSS coincide with the regions of high-frequency variability in the satellite precipitation. As far as the low-frequency part of the SSS variability is concerned, it was found that this was governed by advective process. Hence, satellite precipitation does not have significant impact on this scale of variability.