Prolay Saha
Cotton University, Kagawa University, Cotton University; Panbazar, Cotton College; Panbazar, J.N.V; WEST GARO HILLS
About
Dr. Prolay Saha is a Post Doctoral Fellow at the Centre for Clouds and Climate Change Research (C4R), Cotton University, India, and a LOTUS 2025–26 fellow supported by the Japan Science and Technology Agency (JST), Japan. He is also affiliated with the Faculty of Education, Kagawa University, Japan, as a visiting researcher. His research interests include South Asian monsoon onset and dynamics, teleconnections, hydro-meteorological extremes, prediction and predictability, and climate change. He is currently working on mesoscale modeling for regional subseasonal-to-seasonal (S2S) prediction.
Employment
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Cotton University Post Doctoral Fellow2026 - Present
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Kagawa University Visiting Researcher2026 - Present
Education
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Cotton University; Panbazar Doctor of Philosophy (PhD)2019 - 2025
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Cotton University; Panbazar Master of Science2015 - 2017
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Cotton College; Panbazar Bachelor of Science (B.Sc)2012 - 2015
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J.N.V; WEST GARO HILLS Senior School Certificate Examination (CLASS XII)2011 - 2012
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J.N.V; WEST GARO HILLS Secondary School Examination (CLASS X)2009 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- Post-2000 Escalation of Humid Heatwaves and Emerging Cloudburst Risks across the South Asia Save
- Heightened Adaptability Challenges from Extreme Humid Heat Stress for South Asia Save
- Chapter 4 - Quasi-biweekly mode of the South Asian monsoon Save
- Dynamics of May ‘onset’ of Indian summer monsoon over Northeast India Save
- Quasi-biweekly mode of the South Asian monsoon Save
- An inclusive study of lightning at various temporal resolutions over North East India using hi-res satellite data Save
- Persistent Wet and Dry Spells of Indian Summer Monsoon Rainfall: A Reexamination of Definitions of “Active” and “Break” Events Save
- Present and future of the South Asian summer monsoon’s rainy season over Northeast India Save
- Reconstruction of a Long Reliable Daily Rainfall dataset for the Northeast India (NEI) for Extreme Rainfall Studies Save