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Downscaled climate change projections with uncertainty assessment over India using a high resolution multi-model approach.

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Title: Downscaled climate change projections with uncertainty assessment over India using a high resolution multi-model approach.
Authors: Kumar P; Max Planck Institute for Meteorology, Hamburg, Germany. Electronic address: pankaj.kumar@zmaw.de., Wiltshire A; Hadley Centre for Climate Prediction and Research, Met Office, Exeter, United Kingdom., Mathison C; Hadley Centre for Climate Prediction and Research, Met Office, Exeter, United Kingdom., Asharaf S; Institute for Atmospheric and Environmental Sciences, Goethe-University Frankfurt, Frankfurt, Germany., Ahrens B; Institute for Atmospheric and Environmental Sciences, Goethe-University Frankfurt, Frankfurt, Germany., Lucas-Picher P; Rossby Centre, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden., Christensen JH; Danish Meteorological Institute, Copenhagen, Denmark., Gobiet A; Wegener Center and Institute for Geophysics, Astrophysics, and Meteorology, University of Graz, Graz, Austria., Saeed F; Climate Service Center, Hamburg, Germany., Hagemann S; Max Planck Institute for Meteorology, Hamburg, Germany., Jacob D; Max Planck Institute for Meteorology, Hamburg, Germany; Climate Service Center, Hamburg, Germany.
Source: The Science of the total environment [Sci Total Environ] 2013 Dec 01; Vol. 468-469 Suppl, pp. S18-30. Date of Electronic Publication: 2013 Mar 28.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-1026
DOI:10.1016/j.scitotenv.2013.01.051