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dc.contributor.authorNorgate, Marc
dc.contributor.authorTiwari, P. R.
dc.contributor.authorDas, Sushant
dc.contributor.authorKumar, D.
dc.date.accessioned2024-10-18T14:09:25Z
dc.date.available2024-10-18T14:09:25Z
dc.date.issued2024-10-14
dc.identifier.citationNorgate , M , Tiwari , P R , Das , S & Kumar , D 2024 , ' On the present and future changes in Indian summer monsoon precipitation characteristics under different SSP scenarios from CMIP6 models ' , Climate Dynamics . https://doi.org/10.1007/s00382-024-07389-7
dc.identifier.issn0930-7575
dc.identifier.otherORCID: /0000-0002-7580-0446/work/169878816
dc.identifier.urihttp://hdl.handle.net/2299/28357
dc.description© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
dc.description.abstractMonsoons are a vital part of the agriculture and economy of India which most of its population rely on for their livelihoods. It still is not clear how climate change will impact precipitation events over India due to the complexity of accurately modelling precipitation. Using twelve Coupled Model Inter-comparison Project Six (CMIP6) models, we compared their performance to observed data taken from CRU as well as looking at the future changes in precipitation until the end of the twenty first century for the six precipitation homogenous regions over India. The individual models showed varying degrees of wet and dry biases and the ensemble mean of these models showed relatively lesser bias and improved spatial correlation. Out of 12 models, NorESM and MIROC6 models outperform other models in terms of capturing the spatial variability of precipitation over the Indian region. It is also found that due to lesser moisture transport from the adjoining seas represented through vertically integrated moisture transport (VIMT) analysis, there is consistent dry bias across the models. Further a comprehensive analysis of model performance across six homogeneous precipitation regions indicates that NorESM demonstrates better performance in the CNE and HR regions, EC-Earth excels in the PR, WC, and NE regions, while CMCC shows better performance specifically in the NW region compared to other models. Shared Socioeconomic Pathways (SSPs) were used for future projections and a slight increase in June, July, August, and September (JJAS) precipitation until the end of the century with SSP5-8.5 showing the largest increase. We found an increase in precipitation of 0.49, 0.74 and 1.4mm/day under SSP1-2.6, SSP2-4.5 and SSP5-8.5 in the far future. The northeast region was shown to receive the largest increase in precipitation (2.9 mm/day) compared to other precipitation homogenous regions and northwest will experience largest shift in precipitation. Interestingly, the number of wet days is expected to increase in the northwest region implying more VIMT towards the region. Our results indicate that monsoon precipitation extremes across all the homogenous regions will increase into the future with a higher severity under fossil-fuelled development, although the models still show large biases lowering confidence in our results.en
dc.format.extent20
dc.format.extent13243349
dc.language.isoeng
dc.relation.ispartofClimate Dynamics
dc.subjectClimate Change, Indian Monsoon, CMIP6, Future Projections
dc.subjectClimate change
dc.subjectCMIP6
dc.subjectFuture projections
dc.subjectIndian monsoon
dc.subjectAtmospheric Science
dc.titleOn the present and future changes in Indian summer monsoon precipitation characteristics under different SSP scenarios from CMIP6 modelsen
dc.contributor.institutionCentre for Atmospheric and Climate Physics Research
dc.contributor.institutionCentre for Future Societies Research
dc.contributor.institutionCentre for Climate Change Research (C3R)
dc.contributor.institutionDepartment of Physics, Astronomy and Mathematics
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85206848482&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1007/s00382-024-07389-7
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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