PARLIAMENT QUESTION: ACCURACY OF CYCLONE FORECASTS

1. At a Glance

• India Meteorological Department (IMD) under the Ministry of Earth Sciences (MoES) issues cyclone forecasts on track, intensity (Maximum Sustained Wind), and landfall [S1].
• Lok Sabha Starred/Unstarred reply (05 Feb 2026) records a 20–25% improvement in track accuracy and 35–45% in landfall & intensity accuracy for 2021–25 vs 2016–20 [S1].
• Aspirants must connect this to Mission Mausam, NDMA's cyclone management, and disaster-resilience policy (Sendai Framework) [S2].

2. Why in the News

• 05 Feb 2026 PIB release (MoES) tabling year-wise cyclone forecast accuracy (2016–2025) in Parliament [S1].
• Cited alongside Mission Mausam (Cabinet-approved 11 Sep 2024, ₹2,000 cr outlay) being rolled out to upgrade observation & forecasting [S2].

3. Background & Evolution

• 1875 — IMD established; later placed under MoES (2006) [S2].
• 1999 Odisha Super Cyclone caused ~10,000 deaths — catalyst for modernisation [S2].
• Cyclone Warning System modernised; Doppler Weather Radar network expanded; Dynamical-Statistical models introduced post-2010 [S1].
• 2024: Mission Mausam approved to make India "Weather Ready & Climate Smart" [S2].

4. Core Static Facts

• Implementing ministry: Ministry of Earth Sciences (not MoEFCC) [S1].
• Nodal body: India Meteorological Department (IMD); supporting: NCMRWF & Indian Institute of Tropical Meteorology (IITM, Pune) [S2].
• Mission Mausam outlay: ₹2,000 crore (2 years from 2024) [S2].
• 24-hr landfall error: 31.9 km (2016–20) → 19.0 km (2021–25) [S2].
• 48-hr landfall error: 61.5 km → 34.4 km [S2].
• Track forecast error: improved 10–15% up to 72 hr; 25–30% beyond (2020–24 vs 2015–19) [S1].
• Intensity error: improved 33–35% up to 72 hr lead time [S1].
• Cyclone-related deaths: ~10,000 (1999) → near zero (2020–24) [S2].

5. Multi-Dimensional Analysis

Scientific / Technological - Gains driven by higher-resolution numerical models, enhanced 4D-Var data assimilation, AI/ML integration, augmented HPC capacity [S1][S2]. - Doppler radars, ocean buoys, INSAT-3D/3DR satellite inputs feed the prediction chain [S2].

Administrative / Disaster Management - IMD outputs feed NDMA, NDRF, State DM Authorities for evacuation; SOP cascade through State Crisis Management Group [S2]. - Accuracy drives reduced economic loss and zero-casualty evacuations (e.g., Cyclone Fani 2019, Biparjoy 2023) [S2].

Economic - Better lead-time forecasts cut losses in fisheries, ports, coastal agri; underpin impact-based forecasting under Mission Mausam [S2].

Environmental / Climate - Rising Bay of Bengal SST and climate change intensifying cyclones — demands continual upgradation [S2].

Governance - Cooperative federalism with State DM Authorities; "colour-coded warnings" standard nationwide [S2].

6. Recent Developments (last 12–18 months)

• 11 Sep 2024: Union Cabinet approves Mission Mausam (₹2,000 cr) [S2].
• 2024–25: IMD's 150th Foundation Year; AI-enabled hyper-local forecast products introduced [S1].
• 05 Feb 2026: Parliament reply consolidating 2016–25 accuracy data [S1].

7. Prelims Hooks

• IMD operates under Ministry of Earth Sciences, NOT MoEFCC or MoES + IMD ≠ MoSPI [S1].
• Mission Mausam outlay: ₹2,000 crore over 2 years [S2].
• Implementing trio of Mission Mausam: IMD, NCMRWF, IITM-Pune [S2].
• IMD founded in 1875; HQ at Mausam Bhawan, New Delhi [S2].
• 24-hr landfall error fell from 31.9 km (2016-20) to 19.0 km (2021-25) [S2].
• Track forecast accuracy improved 20–25% (2021-25 vs 2016-20) [S1].
• Landfall & intensity accuracy improved 35–45% [S1].
• Cyclone fatalities dropped from ~10,000 (Odisha 1999) to near zero (2020-24) [S2].
• MSW = Maximum Sustained Wind — IMD's intensity metric [S1].
• NCMRWF = National Centre for Medium Range Weather Forecasting (Noida) [S2].

8. Mains Relevance

• GS-III: Disaster Management; Science & Tech in service of governance.
• GS-I: Geography — tropical cyclones, Bay of Bengal vs Arabian Sea trends.
• Likely Mains stems: 1. "Improvements in cyclone forecast accuracy in India have translated into a sharp fall in fatalities. Discuss the institutional and technological drivers." (GS-III) 2. "Examine the objectives and architecture of Mission Mausam in making India 'Weather Ready and Climate Smart'." (GS-III) 3. "Climate change is altering the frequency and intensity of cyclones in the North Indian Ocean. Analyse." (GS-I/III)

9. Related Topics to Study Next

• Mission Mausam — parent flagship enabling these gains [S2].
• NDMA Cyclone Management Guidelines — operational linkage.
• NCRMP (National Cyclone Risk Mitigation Project) — World Bank-funded coastal resilience.
• INSAT-3DS satellite (2024) — observation backbone.
• Sendai Framework for Disaster Risk Reduction 2015–30 — international anchor.
• IMD 150 years / "Panchayat Mausam Seva" — outreach dimension.
• Bay of Bengal Initiative (BIMSTEC) — regional cyclone cooperation.
• Climate change & Indian Ocean warming — GS-I/III link.

10. Common Errors / Trap Areas

• IMD is under MoES, not MoEFCC, MHA, or DST.
• NCMRWF is in Noida, IITM in Pune; do not swap.
• Mission Mausam ≠ Mission Mausam Vibhag; outlay is ₹2,000 cr, often misquoted as ₹20,000 cr.
• Track, Intensity, Landfall are three distinct metrics; improvement percentages differ.
• "Zero deaths" claim is for 2020–24 period, not for every single cyclone historically.

11. Sources

• [S1] PARLIAMENT QUESTION: Accuracy of Cyclone Forecasts — https://www.pib.gov.in/PressReleasePage.aspx?PRID=2223598 — (tier: 1)
• [S2] Mission Mausam Unveiled / Parliament Question on Mission Mausam — https://www.pib.gov.in/PressReleasePage.aspx?PRID=2054427 and https://www.pib.gov.in/PressReleasePage.aspx?PRID=2238030 — (tier: 1)