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                <identifier>oai:data.mendeley.com/gg3vy49jzg.2</identifier>
                <datestamp>2025-09-15T14:27:32Z</datestamp>
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    <dc:creator>Maity, Subhra Sekhar</dc:creator>
    <dc:title>Future Intensity-Duration-Frequency relationship of Precipitation across India based on CMIP6 projections</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The Future precipitation Intensity-duration-frequency (IDF) relationships across India are prepared based simulated data from the 6th phase of Coupled Model Intercomparison Project (CMIP6). Twelve General Circulation Models i.e. ACCESS-CM2, ACCESS-ESM1-5, AWI-ESM-1-REcoM, CESM2-WACCM, CMCC-CM2-SR5, EC-Earth3, EC-Earth3-veg, INM-CM4-8, INM-CM4-8, IPSL-CM6A-LR, MPI-ESM1-2-HR, MPI-ESM1-2-LR considering three climate change scenarios (SSP126, SSP245, SSP585) from CMIP6 are considered. The future data is bias-corrected against two reanalysis data i.e.  Indian Monsoon Data Assimilation and Analysis (IMDAA) and 5th generation European Centre for Medium-Range Weather Forecasts (ERA5) separately. The future projections are divided in two separate time periods i.e epoch-1 (2022-2060), and epoch-2 (2061-2100) and the future data from twelve GCMs are averaged using Reliability Ensemble Averaging method to obtain a weighted future data. Scale-invariance method is used to obtain sub-daily future data from daily data. The future IDF relationship is presented for 7 duration (1-, 2-, 3-, 6-, 9-, 12-, 24- hour) and 6 return periods (2-, 5-, 10, -25, 50, 100- year) considering two future periods and three climate change scenarios. The data is available at 0.25×0.25° spatial resolution across India.</dc:description>
    <dc:subject>Climate Change</dc:subject>
    <dc:contributor>Maity, Rajib </dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/gg3vy49jzg.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/gg3vy49jzg.2</dc:identifier>
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    <dc:date>2025-09-15T14:27:32Z</dc:date>
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