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

被引:6
|
作者
Sarkar, Subharthi [1 ]
Maity, Rajib [1 ]
机构
[1] Indian Inst Technol, Kharagpur, W Bengal, India
来源
DATA IN BRIEF | 2020年 / 30卷
关键词
Probable maximum precipitation; Climate change; Hershfield method with modified; enveloping technique;
D O I
10.1016/j.dib.2020.105525
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This article presents a high-resolution (0.25 degrees latitude x 0.25 degrees 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. (C) 2020 The Authors. Published by Elsevier Inc.
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页数:6
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