Extreme precipitation indices over India using CMIP6: a special emphasis on the SSP585 scenario
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-25649-7.pdf
Reference83 articles.
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2. Ahmed K, Sachindra DA, Shahid S et al (2020) Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms. Atmos Res 236:104806. https://doi.org/10.1016/j.atmosres.2019.104806
3. Akinsanola AA, Kooperman GJ, Pendergrass AG et al (2020) Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations. Environ Res Lett 15:94003
4. Akinsanola AA, Ongoma V, Kooperman GJ (2021) Evaluation of CMIP6 models in simulating the statistics of extreme precipitation over Eastern Africa. Atmos Res 254:105509. https://doi.org/10.1016/j.atmosres.2021.105509
5. Allan RP, Hawkins E, Bellouin N, Collins B (2021) IPCC: summary for policymakers
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