High-resolution One-day Probable Maximum Precipitation dataset across India and its Future-projected Changes over India
| Main Author: | Sarkar, Subharthi |
|---|---|
| Other Authors: | Maity, Rajib |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2020
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/zx99xr4wkr |
| ctrlnum |
0.17632-zx99xr4wkr.1 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Sarkar, Subharthi</creator><title>High-resolution One-day Probable Maximum Precipitation dataset across India and its Future-projected Changes over India</title><publisher>Mendeley</publisher><description>This data repository 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 the 1970s (1971-2010). In addition to this, possible spatio-temporal changes in the PMP estimates in the 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 (2020). 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.</description><subject>Changes in Precipitation</subject><subject>Hydrologic Change</subject><subject>Hydrological Extreme</subject><contributor>Maity, Rajib</contributor><type>Other:Dataset</type><identifier>10.17632/zx99xr4wkr.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/zx99xr4wkr</relation><date>2020-02-28T05:45:56Z</date><recordID>0.17632-zx99xr4wkr.1</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Sarkar, Subharthi |
| author2 |
Maity, Rajib |
| title |
High-resolution One-day Probable Maximum Precipitation dataset across India and its Future-projected Changes over India |
| publisher |
Mendeley |
| publishDate |
2020 |
| topic |
Changes in Precipitation Hydrologic Change Hydrological Extreme |
| url |
https:/data.mendeley.com/datasets/zx99xr4wkr |
| contents |
This data repository 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 the 1970s (1971-2010). In addition to this, possible spatio-temporal changes in the PMP estimates in the 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 (2020). 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. |
| id |
IOS7969.0.17632-zx99xr4wkr.1 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:16:21Z |
| last_indexed |
2020-04-08T08:16:21Z |
| recordtype |
dc |
| _version_ |
1686587414755147776 |
| score |
17.205004 |