ArticleScientific data2026
INDRA-CMIP6: Indian subcontinent high resolution Downscaled pRecipitation and Air temperature data from CMIP6.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- INDRA-CMIP6: Indian subcontinent high resolution Downscaled pRecipitation and Air temperature data from CMIP6.Scientific data · 2026Article
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Authors and funding
4 authors.
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Abstract
Accurate regional climate information is vital for hydrological applications, impact studies, and adaptation planning. However, Global Climate Model (GCM) outputs are constrained by coarse resolution and systematic biases, limiting their utility over the climatically diverse and topographically complex Indian subcontinent. To address this, we present INDRA-CMIP6, a high-resolution (0.1° × 0.1°) daily dataset of precipitation, maximum temperature (Tmax), and minimum temperature (Tmin) for the historical period (1951-2014) and future projections (2015-2100) under four emission scenarios (SSP126, SSP245, SSP370, SSP585). The dataset, derived from 14 CMIP6 GCMs and their multi-model ensemble (MME) mean, was developed using the Double Bias-Corrected Constructed Analogue (DBCCA) approach with MSWEP and MSWX as reference datasets. Evaluation against reference data shows reduced warm and cold biases and improved representation of regional climate. INDRA-CMIP6 enables assessments of climate extremes and supports water resource planning.
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Registered trials
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