PARLIAMENT QUESTION: WEATHER FORECASTING AND EARLY WARNINGS

1. At a Glance

2. Why in the News

3. Background & Evolution

4. Core Static Facts

Item Detail
Scheme Mission Mausam
Approved by Union Cabinet, 11 Sept 2024 [S3]
Launched by PM, 14 Jan 2025, Bharat Mandapam [S2]
Outlay ₹2,000 crore over 2 years [S3]
Nodal Ministry Ministry of Earth Sciences (MoES) [S3]
Implementing institutes IMD, IIT-M (Indian Institute of Tropical Meteorology), NCMRWF [S3]
Key model Bharat Forecast System (BharatFS) — 6 km resolution, panchayat-level forecasts [S4]
Public platform "Mausamgram" — hourly (36 hrs), 3-hourly (5 days), 6-hourly (10 days) forecasts [S1]
Radar target 87 new DWRs by 2026 (from 39 in 2023) [S4]
Reported forecast accuracy gain 40% improvement in severe-weather forecast accuracy vs previous decade [S1]
Cyclone deaths Fell from ~10,000 (1999) to zero (2020-2024) [S4]

5. Multi-Dimensional Analysis

Scientific/Technological - BharatFS is India's first indigenous high-resolution (6 km) NWP model enabling block/panchayat-level forecasts [S4]. - Combines Numerical Weather Prediction upgrades with expanded Doppler radar and satellite observation networks [S1].

Administrative - Multi-institute execution (IMD/IITM/NCMRWF) under one MoES umbrella requires coordination across observation, modelling, and dissemination arms [S3]. - Sub-national rollout tracked separately for states/regions (e.g., Odisha, North-East) via distinct Parliament Questions, showing federal implementation monitoring [S2].

Social - Early warning granularity down to panchayat level targets last-mile disaster preparedness for rural/agrarian populations. - Cyclone mortality reduction to near-zero (2020-24) is cited as the flagship social outcome of improved warnings [S4].

Economic - ₹2,000 crore central outlay is positioned as a high-return investment given avoided disaster losses (agriculture, aviation, fisheries, insurance sectors depend on forecast accuracy).

Environmental/Climate - Explicitly framed as making India "Climate-smart," linking weather forecasting infrastructure to climate adaptation and extreme-event resilience.

6. Recent Developments (last 12-18 months)

7. Prelims Hooks

8. Mains Relevance

9. Related Topics to Study Next

10. Common Errors / Trap Areas

11. Sources