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Cited by 472Climate variability and modelsClimate Change and Environmental ImpactClimate change impacts on agriculture

Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6

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Mishra, Vimal, Bhatia, Udit, Tiwari, Amar Deep·2020·Scientific Data
DOI 10.1038/s41597-020-00681-1PMC PMC7550601
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Abstract

Climate change is likely to pose enormous challenges for agriculture, water resources, infrastructure, and livelihood of millions of people living in South Asia. Here, we develop daily bias-corrected data of precipitation, maximum and minimum temperatures at 0.25 ° spatial resolution for South Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, and Sri Lanka) and 18 river basins located in the Indian sub-continent. The bias-corrected dataset is developed using Empirical Quantile Mapping (EQM) for the historic (1951–2014) and projected (2015–2100) climate for the four scenarios (SSP126, SSP245, SSP370, SSP585) using output from 13 General Circulation Models (GCMs) from Coupled Model Intercomparison Project-6 (CMIP6). The bias-corrected dataset was evaluated against the observations for both mean and extremes of precipitation, maximum and minimum temperatures. Bias corrected projections from 13 CMIP6-GCMs project a warmer (3–5 °C) and wetter (13–30%) climate in South Asia in the 21 st century. The bias-corrected projections from CMIP6-GCMs can be used for climate change impact assessment in South Asia and hydrologic impact assessment in the sub-continental river basins.

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Cited by

Sorted by citations

Authors
Mishra, V., Bhatia, U., & Tiwari, A. D.
Affiliations
Indian Institute of Technology Gandhinagar (IN)
Corresponding author
Mishra, Vimal
ORCID
Venue
Scientific Data
Publisher
Springer Science and Business Media LLC
Published
2020-10-12
Volume
7
Issue
1
Pages
338-338
ISSN
2052-4463 (ISSN-L)
DOI
10.1038/s41597-020-00681-1
PMC
PMC7550601
OpenAlex
W3092325799
Cited by
472
References
4
Citations by year
2026: 115 · 2025: 95 · 2024: 114 · 2023: 85 · 2022: 47 · 2021: 16
Type
data paper
Language
en
Open access
Licence
Locations
  • Scientific Data (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University) (cc-by)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Environmental Impact
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
Keywords
climate change projections, bias correction, South Asia, CMIP6, daily precipitation, temperature extremes, Shared Socioeconomic Pathways, river basins, climate impact assessment, India, Pakistan, Bangladesh, Nepal, Bhutan, Sri Lanka

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