PARLIAMENT QUESTION: ACCURATE WEATHER FORECASTING

1. At a Glance

2. Why in the News

3. Background & Evolution

4. Core Static Facts

5. Multi-Dimensional Analysis

Scientific / Technological - Shift from NWP-only to AI/ML hybrid models and impact-based forecasting (IBF) at block level [S2]. - HPC upgrade beyond present Pratyush + Mihir petaflop systems [S2].

Administrative - Multi-agency vertical: MoES → IMD/IITM/NCMRWF; coordination with NDMA, NDRF, state DMAs for last-mile dissemination [S1][S2]. - Slight regression in 2025 landfall errors (76 km vs 16 km avg) — flags operational variance, not modelling failure [S1].

Economic - ~40–50 % accuracy gain credited with reducing cyclone fatalities and crop loss; supports PMFBY insurance triggers [S2].

Environmental / Climate - Critical for adapting to climate-change-driven extreme events — heat waves, cloudbursts, compound flooding [S1].

Federal / Governance - Sub-divisional and district-wise warnings via radar densification (e.g., J&K) require state SDMA uptake [S4].

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