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Predicting the extremes of Indian summer monsoon rainfall with coupled ocean-atmosphere models

Nanjundiah, Ravi S and Francis, PA and Ved, Mohit and Gadgil, Sulochana (2013) Predicting the extremes of Indian summer monsoon rainfall with coupled ocean-atmosphere models. In: Current Science, 104 (10). pp. 1380-1393.

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Official URL: http://www.currentscience.ac.in/php/toc.php?vol=10...


An analysis of the retrospective predictions by seven coupled ocean atmosphere models from major forecasting centres of Europe and USA, aimed at assessing their ability in predicting the interannual variation of the Indian summer monsoon rainfall (ISMR), particularly the extremes (i.e. droughts and excess rainfall seasons) is presented in this article. On the whole, the skill in prediction of extremes is not bad since most of the models are able to predict the sign of the ISMR anomaly for a majority of the extremes. There is a remarkable coherence between the models in successes and failures of the predictions, with all the models generating loud false alarms for the normal monsoon season of 1997 and the excess monsoon season of 1983. It is well known that the El Nino and Southern Oscillation (ENSO) and the Equatorial Indian Ocean Oscillation (EQUINOO) play an important role in the interannual variation of ISMR and particularly the extremes. The prediction of the phases of these modes and their link with the monsoon has also been assessed. It is found that models are able to simulate ENSO-monsoon link realistically, whereas the EQUINOO-ISMR link is simulated realistically by only one model the ECMWF model. Furthermore, it is found that in most models this link is opposite to the observed, with the predicted ISMR being negatively (instead of positively) correlated with the rainfall over the western equatorial Indian Ocean and positively (instead of negatively) correlated with the rainfall over the eastern equatorial Indian Ocean. Analysis of the seasons for which the predictions of almost all the models have large errors has suggested the facets of ENSO and EQUINOO and the links with the monsoon that need to be improved for improving monsoon predictions by these models.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to Current Science Association.
Department/Centre: Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences
Depositing User: Francis Jayakanth
Date Deposited: 18 Jul 2013 07:00
Last Modified: 18 Jul 2013 07:00
URI: http://eprints.iisc.ac.in/id/eprint/46868

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