El Nino: 111 districts in 12 States of ‘primary concern’

Excellent — I now have strong Tier 1 (PIB / IMD) facts. Writing the study note.


El Niño 2026 — 111 Districts in 12 States of 'Primary Concern'

UPSC Prelims + Mains Study Note


1. At a Glance


2. Why in the News


3. Background & Evolution


4. Core Static Facts

Parameter Detail
Phenomenon El Niño-Southern Oscillation (ENSO) — warm phase
El Niño definition Sea Surface Temperature (SST) anomaly > +0.5°C in Niño 3.4 region for ≥5 consecutive overlapping 3-month seasons
Monitoring agency (India) IMD (India Meteorological Department), under Ministry of Earth Sciences (MoES)
Nodal agriculture ministry Ministry of Agriculture & Farmers Welfare (MoAFW)
ICAR's role Technical guidance on contingency cropping; attends national-level crisis meetings
2026 SWM forecast ~90% of LPA (below normal) [S2]
Total vulnerable districts 315 [S1]
Primary concern (Category 1) 111 districts — irrigation coverage < 25% [S1]
Medium priority (Category 2) 76 districts — irrigation coverage 25–50% [S1]
Low priority (Category 3) 128 districts — irrigation coverage > 50% [S1]
States affected (primary) MP, Maharashtra, Gujarat, UP, Rajasthan, Karnataka, Bihar, Jharkhand, Telangana, Andhra Pradesh, Odisha + 1 more (12 states total) [S1]
Crop season at risk Kharif 2026 (sown June–July; harvested Sept–Oct)
Key crops at risk Rice, Pulses, Oilseeds, Coarse cereals (rain-fed)
Contingency mechanism District Agriculture Contingency Plans (DACPs) — 315 district-specific plans activated [S1]
Monitoring body El Niño Monitoring Cell + Crop Weather Watch Group (national level, New Delhi) [S1]
State-level mechanism Control rooms + Nodal officers designated in each State [S1]

5. Multi-Dimensional Analysis

Economic

Social

Environmental

Scientific / Technological

Administrative / Governance

Historical


6. Recent Developments (last 12–18 months)


7. Prelims Hooks

  1. El Niño is defined by SST anomalies > +0.5°C in the Niño 3.4 region (central-eastern equatorial Pacific) for ≥5 consecutive overlapping 3-month seasons. [S4]
  2. IMD (under Ministry of Earth Sciences) is India's nodal agency for monsoon forecasting and ENSO monitoring — not Ministry of Agriculture. [S2]
  3. India's 2026 SWM forecast: 90% of LPA — classified as "below normal" (LPA = 868.6 mm for 1971–2020 base period). [S2]
  4. 315 districts have been identified as vulnerable to weak monsoon in 2026; 111 of these (in 12 States) are categorised as primary concern. [S1]
  5. Primary concern districts are those with irrigation coverage below 25% — making them dependent almost entirely on monsoon rainfall. [S1]
  6. 76 districts are medium priority (irrigation 25–50%); 128 districts are low priority (irrigation >50%). [S1]
  7. The El Niño Monitoring Cell and Crop Weather Watch Group are constituted at the national level in New Delhi — not at IMD headquarters specifically. [S1]
  8. Agriculture is a State subject under Entry 14, List II (State List), 7th Schedule of the Constitution — Centre's role in crisis is advisory and financial. [S1]
  9. ICAR (Indian Council of Agricultural Research) provides technical guidance on contingency cropping under DACPs — distinct from IMD's meteorological role. [S1]
  10. The NICRA programme (National Innovations in Climate Resilient Agriculture) is ICAR's flagship scheme for climate-adaptive agriculture. [S1]
  11. Kharif crops are sown in June–July and harvested in September–October; the 43% rainfall deficit during the sowing window directly imperils Kharif 2026. [S3]
  12. The El Niño of 2015-16 was one of the strongest on record and caused two consecutive drought years in India, prompting the institutionalisation of DACPs. [S1]
  13. District Agriculture Contingency Plans (DACPs) are district-specific documents incorporating local climatic conditions, cropping patterns, water resources, and risk mitigation strategies. [S1]

8. Mains Relevance

GS Paper Specific Syllabus Heading
GS-I Important Geophysical phenomena — Climatic phenomena, El Niño
GS-III Agriculture — Issues related to food security; Disaster Management — vulnerability of agriculture
GS-III Conservation, environmental pollution and degradation — climate change impacts

Plausible Mains Questions:

  1. "El Niño poses an asymmetric threat to Indian agriculture. Critically analyse the structural vulnerabilities exposed by the 2026 monsoon deficit and evaluate the adequacy of the government's contingency planning framework." (GS-III)

  2. "Discuss the relationship between El Niño-Southern Oscillation (ENSO) and the Indian Summer Monsoon. What institutional mechanisms has India developed to manage El Niño-induced agrarian distress?" (GS-I/GS-III)

  3. "Agriculture being a State subject, the Central government's role in drought preparedness is inherently limited. Comment, with reference to India's District Agriculture Contingency Plans and federal coordination mechanisms." (GS-II/GS-III)


9. Related Topics to Study Next

Topic Connection
Indian Summer Monsoon (ISM) Mechanism Foundational: ITCZ, Hadley Cell, Walker Circulation — El Niño disrupts Walker Circulation and suppresses ISM
Indian Ocean Dipole (IOD) Often offsets El Niño effect on ISM when positive; examiner frequently asks IOD vs El Niño comparison
Kharif vs Rabi Agriculture in India El Niño primarily hits Kharif; understanding crop calendar is essential for impact analysis
National Disaster Management Framework (NDRF/SDRF) Financial relief mechanism activated during drought years; Centre-State fund-sharing norms
PM-KISAN, PMFBY (Pradhan Mantri Fasal Bima Yojana) Key policy safety nets for farmers during climate-induced crop failures
NICRA (National Innovations in Climate Resilient Agriculture) ICAR's scientific backbone for DACPs; frequently tested in Prelims
Food Security Act, 2013 (NFSA) El Niño-driven production shortfalls test the procurement and buffer stock system under NFSA
La Niña Opposite phase of ENSO — often brings above-normal ISM rainfall; contrast with El Niño essential

10. Common Errors / Trap Areas

  1. Wrong ministry for monsoon forecasting: IMD is under Ministry of Earth Sciences (MoES), not the Ministry of Agriculture. Agriculture contingency planning (DACPs) = Ministry of Agriculture & Farmers Welfare. Confusing the two is a common trap.

  2. "El Niño always causes drought in India": Incorrect. El Niño increases the probability of below-normal monsoon but does not guarantee drought every year (e.g., 1997-98 strong El Niño, yet India had normal monsoon partly due to +IOD offset).

  3. Niño region confusion: El Niño is defined using Niño 3.4 (central-eastern Pacific) — not Niño 1+2 (extreme eastern Pacific). Examiners occasionally test this.

  4. Confusing 315 and 111: 315 = total vulnerable districts; 111 = primary concern (irrigation < 25%); 76 = medium (25–50%); 128 = low (>50%). These numbers are individually testable.

  5. Agriculture as Central vs State subject: Agriculture is firmly a State subject (List II); confusing it with Concurrent List is a recurring error. Centre's drought relief role operates through NDRF/SDRF transfers, not direct command over State agriculture departments.


11. Sources