Reliability of regional and global climate models to simulate precipitation extremes over India

Show simple item record

dc.contributor.author Mishra, Vimal
dc.contributor.author Kumar, Devashish
dc.contributor.author Ganguly, Auroop Ratan
dc.contributor.author Sanjay, J.
dc.contributor.author Mujumdar, Milind
dc.contributor.author Krishnan, R.
dc.contributor.author Shah, Reepal D.
dc.date.accessioned 2014-07-21T14:08:41Z
dc.date.available 2014-07-21T14:08:41Z
dc.date.issued 2014-08
dc.identifier.citation Mishra, Vimal; Kumar, Devashish; Ganguly, Auroop R.; Sanjay, J.; Mujumdar, Milind; Krishnan, R. and Shah, Reepal D., “Reliability of regional and global climate models to simulate precipitation extremes over India”, Journal of Geophysical Research: Atmospheres, DOI: 10.1002/2014JD021636, Aug. 2014. en_US
dc.identifier.issn 2169-897X
dc.identifier.issn 2169-8996
dc.identifier.uri http://dx.doi.org/10.1002/2014JD021636
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1345
dc.description.abstract Extreme precipitation events over India have resulted in loss of human lives and damaged infrastructures, food crops, and lifelines. The inability of climate models to credibly project precipitation extremes in India has not been helpful to longer-term hazards resilience policy. However, there have been claims that finer-resolution and regional climate models may improve projections. The claims are examined as hypotheses by comparing models with observations from 1951–2005. This paper evaluates the reliability of the latest generation of global climate models (GCMs), CMIP5, specifically a subset of the better performing CMIP5 models (called “BEST-GCM”). The relative value of finer-resolution regional climate models (RCMs) is examined by comparing CORDEX South Asia RCMs (“CORDEX-RCMs”) versus the GCMs used by those RCMs to provide boundary conditions, or the host GCMs (“HOST-GCMs”). Ensemble mean of BEST-GCMs performed better for most of the extreme precipitation indices than the CORDEX-RCMs or their HOST-GCMs. Weaker performance shown by ensemble mean of CORDEX-RCMs is largely associated with their high intermodel variation. The CORDEX-RCMs occasionally exhibited slightly superior skills compared to BEST-GCMs, on the whole RCMs failed to significantly outperform GCMs. Observed trends in the extremes were not adequately captured by any of the model ensembles, while neither the GCMs nor the RCMs were determined to be adequate to inform hydrologic design. en_US
dc.description.statementofresponsibility by Vimal Mishra, Devashish Kumar, Auroop R. Ganguly, J. Sanjay, Milind Mujumdar, R. Krishnan and Reepal D. Shah
dc.format.extent vol. 119, no. 15, pp. 9301-9323
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.subject Climate Change en_US
dc.subject Hydrologic Design en_US
dc.subject Hydrologic Design en_US
dc.subject RCMs en_US
dc.subject Precipitation Extremes en_US
dc.title Reliability of regional and global climate models to simulate precipitation extremes over India en_US
dc.type Article en_US
dc.relation.journal Journal of Geophysical Research: Atmospheres


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account