Roorkee, May 15 (APAC Media): Indian Institute of Technology (IIT) Roorkee has announced the development of an advanced open-access climate projection dataset named “INDRA-CMIP6.”
The dataset has been designed to help India improve climate adaptation strategies, disaster preparedness, and long-term climate risk assessment.
Developed by researchers from the Department of Hydrology at the university, the dataset offers high-resolution daily projections of rainfall and temperature across the Indian subcontinent at a spatial resolution of nearly 10 kilometres.
The initiative aims to address one of the biggest limitations of global climate models, which often provide coarse-scale projections that fail to accurately capture India’s highly diverse terrain, monsoon systems, and regional weather extremes. Researchers noted that India has increasingly experienced severe climate-related events such as heatwaves, erratic monsoon patterns, urban flooding, and pressure on water resources in recent years.
According to the research team, adaptation measures including urban drainage planning, flood management, embankment strengthening, and climate-resilient agriculture require localised climate projections at district and river-basin levels rather than broader continental-scale estimates.
The INDRA-CMIP6 dataset has been developed using outputs from 14 CMIP6 global climate models through a statistical downscaling technique called Double Bias-Corrected Constructed Analogue (DBCCA). Researchers said the method significantly improves the representation of daily weather variability, regional rainfall distribution, and temperature extremes across India.
The dataset includes daily precipitation, minimum temperature, and maximum temperature projections at a high-resolution 0.1° × 0.1° grid. It also provides both individual climate model outputs and a multi-model ensemble, enabling researchers and policymakers to compare projections and assess uncertainties more effectively.
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