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High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India

This article presents a high-resolution (0.25° latitude x 0.25° longitude) one-day Probable Maximum Precipitation (PMP) estimates across India based on the daily precipitation records after climate regime shift in 1970s (1971–2010). In addition to this, possible spatio-temporal changes in the PMP es...

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Autores principales: Sarkar, Subharthi, Maity, Rajib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163314/
https://www.ncbi.nlm.nih.gov/pubmed/32322638
http://dx.doi.org/10.1016/j.dib.2020.105525
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author Sarkar, Subharthi
Maity, Rajib
author_facet Sarkar, Subharthi
Maity, Rajib
author_sort Sarkar, Subharthi
collection PubMed
description This article presents a high-resolution (0.25° latitude x 0.25° longitude) one-day Probable Maximum Precipitation (PMP) estimates across India based on the daily precipitation records after climate regime shift in 1970s (1971–2010). In addition to this, possible spatio-temporal changes in the PMP estimates in future towards the end of this century (2071–2100) with respect to its current values are also presented, following two possible emission scenarios (RCP4.5 and RCP8.5). These maps are developed following the research article entitled “Increase in Probable Maximum Precipitation in a Changing Climate over India”, published in Journal of Hydrology by Sarkar and Maity [1] .The recent PMP map for India is developed based on gridded daily observational records of precipitation, procured from the India Meteorological Department (IMD). Its future projection is based on bias-corrected simulated daily precipitation output from three Regional Climate Models (RCMs). Finally, the change in PMP in future with respect to the current map is calculated in terms of grid-wise percentage change and made available to the end-users. This PMP map and its future projection will serve as an important information for the design engineers and hydro-meteorologists for planning and designing various water-energy infrastructures such as, dams and other major water resources engineering applications.
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spelling pubmed-71633142020-04-22 High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India Sarkar, Subharthi Maity, Rajib Data Brief Earth and Planetary Science This article presents a high-resolution (0.25° latitude x 0.25° longitude) one-day Probable Maximum Precipitation (PMP) estimates across India based on the daily precipitation records after climate regime shift in 1970s (1971–2010). In addition to this, possible spatio-temporal changes in the PMP estimates in future towards the end of this century (2071–2100) with respect to its current values are also presented, following two possible emission scenarios (RCP4.5 and RCP8.5). These maps are developed following the research article entitled “Increase in Probable Maximum Precipitation in a Changing Climate over India”, published in Journal of Hydrology by Sarkar and Maity [1] .The recent PMP map for India is developed based on gridded daily observational records of precipitation, procured from the India Meteorological Department (IMD). Its future projection is based on bias-corrected simulated daily precipitation output from three Regional Climate Models (RCMs). Finally, the change in PMP in future with respect to the current map is calculated in terms of grid-wise percentage change and made available to the end-users. This PMP map and its future projection will serve as an important information for the design engineers and hydro-meteorologists for planning and designing various water-energy infrastructures such as, dams and other major water resources engineering applications. Elsevier 2020-04-11 /pmc/articles/PMC7163314/ /pubmed/32322638 http://dx.doi.org/10.1016/j.dib.2020.105525 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Sarkar, Subharthi
Maity, Rajib
High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India
title High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India
title_full High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India
title_fullStr High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India
title_full_unstemmed High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India
title_short High-resolution one-day probable maximum precipitation dataset across India and its future-projected changes over India
title_sort high-resolution one-day probable maximum precipitation dataset across india and its future-projected changes over india
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163314/
https://www.ncbi.nlm.nih.gov/pubmed/32322638
http://dx.doi.org/10.1016/j.dib.2020.105525
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