PS 26074SOFTWAREDisaster ManagementFast Prototype (36h)

Downscaling of weather forecast from Block level to Panchayat level: Inferring high-resolution plots/ data/ information from low-resolution plot /data /information /variables for agro-meteorological advisory services.

Ministry of Earth Sciences (MoES)India Meteorological Department
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30-Second Plain English Summary

IMD currently produces Numerical Weather Prediction (NWP) forecasts at coarse 12 km grid resolution (Block level), but rural farmers need accurate rain, temperature, and wind forecasts at the 1-3 km Gram Panchayat / village level where localized terrain, microclimates, and water bodies create severe weather variations. Build an AI/ML statistical downscaling platform combining high-resolution topography (DEM), land cover, and localized AWS observations with NWP model outputs to generate Panchayat-level 1 km hyper-local forecasts.

5-Dimension Strategic ScorecardOverall Score: 3.7 / 5.0
Innovation
3.7 / 5
36h Feasibility
4.3 / 5
Uniqueness
3.5 / 5
Jury Appeal
3.5 / 5
Tech Depth
3.4 / 5
Recommended System Architecture Pipeline
12 km IMD/NCMRWF NWP Grids + 30m SRTM DEM -> Terrain-Aware Super-Resolution AI (DeepSD) -> Panchayat Geo-Polygon Matcher -> Farmer & Gram Panchayat Portal
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Official Government Problem Description
Downscaling of weather forecast from Block level to Panchayat level: Inferring high-resolution plots/ data/ information from low-resolution plot /data /information /variables for agro-meteorological advisory services.
AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26074: "Downscaling of weather forecast from Block level to Panchayat level: Inferring high-resolution plots/ data/ information from low-resolution plot /data /information /variables for agro-meteorological advisory services.", Ministry: Ministry of Earth Sciences (MoES). Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26074)

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