Transformative Spatio-Temporal Insights into Indian Summer Days for Advancing Climate Resilience and Regional Adaptation in India

20722 6 110279 2 334127 document 110279 earth-06-00039.pdf application/pdf 0d3c7be208ffa4ea6d1dc371f4c5f23b MD5 1822019 2025-06-30 13:03:15 https://pure.iiasa.ac.at/id/eprint/20722/1/earth-06-00039.pdf 20722 1 1 application/pdf text en public cc_by_4

earth-06-00039.pdf

published 110285 1 334138 document 110285 indexcodes.txt text/plain 21809249e5e438604832a41d54618108 MD5 14702 2025-06-30 13:13:24 https://pure.iiasa.ac.at/id/eprint/20722/2/indexcodes.txt 20722 2 2 text/plain other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/110279 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/110279 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/110279 archive 353 disk0/00/02/07/22 2025-06-30 13:04:30 2025-06-30 13:04:30 2025-06-30 13:04:30 article show Prajapat D.K. Choudhary M. Avtar R. Singh S. Alsulamy S. Kharrazi A. 8681 0000-0002-5881-2568 Transformative Spatio-Temporal Insights into Indian Summer Days for Advancing Climate Resilience and Regional Adaptation in India pub ASA SYRR global warming; summer days; India; RCP4.5; RCP8.5; climate change; CORDEX-SA; Multi-Model Ensemble; adaptation strategies; heat stress With global temperatures steadily rising, understanding the impacts of warming on regional climates has become crucial, particularly for countries like India, where climate sensitivity has significant socio-economic implications. This study assesses the trends and spatial distribution of summer days across India under different warming targets (1.5 °C, 2 °C, 2.5 °C, 3 °C, 3.5 °C, 4 °C, 4.5 °C, and 5 °C) and emission scenarios (RCP4.5 and RCP8.5). A Multi-Model Ensemble (MME) approach, combining five best-performing CORDEX-SA experiments, was utilized to analyze projected summer days in India. Non-parametric trend analysis techniques—such as the Mann–Kendall test, Modified Mann–Kendall, Sen’s Slope estimator, and Pettitt test—were used to investigate temporal patterns, and Reliability Ensemble Averaging (REA) was applied for uncertainty analysis to ensure robust projections. The results indicate that summer days are expected to increase significantly across India under both RCP scenarios, with the highest increases projected for northeastern regions and north-central regions of India. This study underscores the pressing need for region-specific adaptation strategies to manage extended periods of extreme temperatures and safeguard public health, agriculture, and socio-economic stability. 2025-05-13 published MDPI doi:10.3390/earth6020039 153 public Earth 6 2 e39 1 TRUE 2673-4834 info:eu-repo/semantics/article