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  Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models

Katzenberger, A., Schewe, J., Pongratz, J., Levermann, A. (2021): Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models. - Earth System Dynamics, 12, 2, 367-386.
https://doi.org/10.5194/esd-12-367-2021

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_24832 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_24832_8
Genre: Journal Article

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 Creators:
Katzenberger, Anja1, Author              
Schewe, Jacob1, Author              
Pongratz, Julia2, Author
Levermann, Anders1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: The Indian summer monsoon is an integral part of the global climate system. As its seasonal rainfall plays a crucial role in India's agriculture and shapes many other aspects of life, it affects the livelihood of a fifth of the world's population. It is therefore highly relevant to assess its change under potential future climate change. Global climate models within the Coupled Model Intercomparison Project Phase 5 (CMIP-5) indicated a consistent increase in monsoon rainfall and its variability under global warming. Since the range of the results of CMIP-5 was still large and the confidence in the models was limited due to partly poor representation of observed rainfall, the updates within the latest generation of climate models in CMIP-6 are of interest. Here, we analyse 32 models of the latest CMIP-6 exercise with regard to their annual mean monsoon rainfall and its variability. All of these models show a substantial increase in June-to-September (JJAS) mean rainfall under unabated climate change (SSP5-8.5) and most do also for the other three Shared Socioeconomic Pathways analyzed (SSP1-2.6, SSP2-4.5, SSP3-7.0). Moreover, the simulation ensemble indicates a linear dependence of rainfall on global mean temperature with high agreement between the models and independent of the SSP; the multi-model mean for JJAS projects an increase of 0.33 mm/day and 5.3 % per degree of global warming. This is significantly higher than in the CMIP-5 projections. Most models project that the increase will contribute to the precipitation especially in the Himalaya region and to the northeast of the Bay of Bengal, as well as the west coast of India. Interannual variability is found to be increasing in the higher-warming scenarios by almost all models. The CMIP-6 simulations largely confirm the findings from CMIP-5 models, but show an increased robustness across models with reduced uncertainties and updated magnitudes towards a stronger increase in monsoon rainfall.

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Language(s): eng - English
 Dates: 2021-03-202021-04-142021-04-14
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: MDB-ID: yes - 3171
DOI: 10.5194/esd-12-367-2021
PIKDOMAIN: RD3 - Transformation Pathways
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD3 - Transformation Pathways
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Atmosphere
Research topic keyword: Extremes
Research topic keyword: Monsoon
Regional keyword: Asia
Model / method: Quantitative Methods
 Degree: -

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Title: Earth System Dynamics
Source Genre: Journal, SCI, Scopus, p3, oa
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Publ. Info: -
Pages: - Volume / Issue: 12 (2) Sequence Number: - Start / End Page: 367 - 386 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1402282
Publisher: Copernicus