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Future precipitation extremes over India from the CORDEX-South Asia experiments

  • P. Rai
  • A. Choudhary
  • A. P. DimriEmail author
Original Paper

Abstract

Under a warming climate scenario, precipitation extremes are projected to increase as indicated by both observations and climate model simulations in the previous studies. In this study, we have considered five regional climate simulations under Coordinated Regional Climate Downscaling Experiment-South Asia domain (CORDEX-SA) to study changes in precipitation extremes over India in the near (2020–2049) and far (2070–2099) future under changing climate scenario with respect to different representative concentration pathways (RCPs)—4.5 and 8.5. Extremes in precipitation are studied and described here using a set of climate indices as defined by the joint CCL/CLIVAR/JCOMM Expert Team (ET) on Climate Change Detection and Indices (ETCCDI). The study reveals that CORDEX-SA simulations under scenarios of increasing greenhouse gas concentration indicate a marked increase in the frequency of wet precipitation extremes over central India in both the near and far future (2070–99) as well as a consistent increase throughout the twenty-first century as indicated by trend values. Simultaneously, dry precipitation extremes show a decreasing trend in most of the simulations. However, the distribution of changes varies widely in its magnitude and sign across the Indian region along with a wide intermodel uncertainty. In the far future and under the intensified scenario RCP8.5, the changes seem to be much more pronounced than those in the near future and less intensified scenario RCP4.5.

Notes

Acknowledgments

The authors thank the World Climate Research Programme’s Working Group on Regional Climate, the Working Group on Coupled Modelling which formerly coordinated CORDEX. The authors also thank the Climate Data Portal at Center for Climate Change Research (CCCR), Indian Institute of Tropical Meteorology, for provision of CORDEX-South Asia data. The gridded precipitation dataset IMD used for model validation is obtained from the India Meteorological Department, Ministry of Earth Sciences, Govt. of India.

Funding information

A. Choudhary sincerely acknowledges the senior research fellowship provided to him by University Grants Commission, Govt. of India.

Supplementary material

704_2019_2784_MOESM1_ESM.docx (2.2 mb)
ESM 1 (DOCX 2279 kb)

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Environmental SciencesJawaharlal Nehru UniversityNew DelhiIndia

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