A High-resolution Multi-model Multi-scenario Precipitation Dataset across India from CMIP6

This dataset presents a multi-model multi-scenario gridded (0.25°×0.25°) bias-corrected future projected daily precipitation series across India. Fourteen state-of-the-art CMIP6 GCMs have been used to develop this dataset, after correcting the bias using a recently developed copula-based bias-correction technique by Maity et al. (2019), referred as RMPH method. For each of the models, three scenarios have been used -- Historical, SSP245 and SSP585. Additionally, the conventiinal Quantile Mapping (QM) method is also for comparison, but only over the historical period (1961-2014).
The new bias-corrected precipitation dataset from CMIP6 is particularly useful for the future risk assessment studies, hydrological simulations, formulating extreme events under climate change adaptation and mitigation strategies.
For further details, readers can refer to the following publication:
Sarkar S., S. S Maity, and R. Maity (2023), Precipitation-based Climate Change Hotspots across India through a Multi-model Assessment from CMIP6, Journal of Hydrology, Elsevier, https://doi.org/10.1016/j.jhydrol.2023.129805 <br>