Literature DB >> 23541400

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

Pankaj Kumar1, Andrew Wiltshire2, Camilla Mathison2, Shakeel Asharaf3, Bodo Ahrens3, Philippe Lucas-Picher4, Jens H Christensen5, Andreas Gobiet6, Fahad Saeed7, Stefan Hagemann8, Daniela Jacob9.   

Abstract

This study presents the possible regional climate change over South Asia with a focus over India as simulated by three very high resolution regional climate models (RCMs). One of the most striking results is a robust increase in monsoon precipitation by the end of the 21st century but regional differences in strength. First the ability of RCMs to simulate the monsoon climate is analyzed. For this purpose all three RCMs are forced with ECMWF reanalysis data for the period 1989-2008 at a horizontal resolution of ~25 km. The results are compared against independent observations. In order to simulate future climate the models are driven by lateral boundary conditions from two global climate models (GCMs: ECHAM5-MPIOM and HadCM3) using the SRES A1B scenario, except for one RCM, which only used data from one GCM. The results are presented for the full transient simulation period 1970-2099 and also for several time slices. The analysis concentrates on precipitation and temperature over land. All models show a clear signal of gradually wide-spread warming throughout the 21st century. The ensemble-mean warming over India is 1.5°C at the end of 2050, whereas it is 3.9°C at the end of century with respect to 1970-1999. The pattern of projected precipitation changes shows considerable spatial variability, with an increase in precipitation over the peninsular of India and coastal areas and, either no change or decrease further inland. From the analysis of a larger ensemble of global climate models using the A1B scenario a wide spread warming (~3.2°C) and an overall increase (~8.5%) in mean monsoon precipitation by the end of the 21st century is very likely. The influence of the driving GCM on the projected precipitation change simulated with each RCM is as strong as the variability among the RCMs driven with one.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Climate change; HighNoon; Indian summer monsoon; Indices; Regional model

Mesh:

Year:  2013        PMID: 23541400     DOI: 10.1016/j.scitotenv.2013.01.051

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

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Authors:  Omid Mazdiyasni; Amir AghaKouchak; Steven J Davis; Shahrbanou Madadgar; Ali Mehran; Elisa Ragno; Mojtaba Sadegh; Ashmita Sengupta; Subimal Ghosh; C T Dhanya; Mohsen Niknejad
Journal:  Sci Adv       Date:  2017-06-07       Impact factor: 14.136

2.  Strong influence of north Pacific Ocean variability on Indian summer heatwaves.

Authors:  Vittal Hari; Subimal Ghosh; Wei Zhang; Rohini Kumar
Journal:  Nat Commun       Date:  2022-09-12       Impact factor: 17.694

3.  Flexible Strategies for Coping with Rainfall Variability: Seasonal Adjustments in Cropped Area in the Ganges Basin.

Authors:  Christian Siderius; Hester Biemans; Paul E V van Walsum; Ekko C van Ierland; Pavel Kabat; Petra J G J Hellegers
Journal:  PLoS One       Date:  2016-03-02       Impact factor: 3.240

4.  Climate and landscape mediate patterns of low lentil productivity in Nepal.

Authors:  Gokul P Paudel; Mina Devkota; Alwin Keil; Andrew J McDonald
Journal:  PLoS One       Date:  2020-04-16       Impact factor: 3.240

  4 in total

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