India’s rainfall deficit 35% as monsoon stalls


India's Rainfall Deficit 35% as Monsoon Stalls

UPSC Prelims + Mains Study Note | GS-I / GS-III


1. At a Glance


2. Why in the News


3. Background & Evolution

Origin and Normal Onset Pattern - The Southwest (SW) Monsoon typically makes landfall over Kerala around 1 June and progresses northward, reaching Mumbai by ~11 June and covering all of India by ~15 July. - The monsoon accounts for ~75% of India's annual rainfall and is critical to the kharif cropping season (June–September sowing).

Key Milestones | Year | Event | |------|-------| | 1875 | IMD established; systematic monsoon observations begin | | 1971 | India joins WMO (World Meteorological Organization) framework for weather forecasting | | 2003 | IMD launches Long Range Forecast (LRF) system — two-stage forecasts (April + June update) | | 2015–16 | Severe El Niño year; India recorded ~14% deficit; drought in 330+ districts | | 2023–24 | El Niño re-emergence; uneven monsoon; southern India received surplus, central India deficit | | April 2026 | IMD issues LRF predicting below-normal rainfall (<92% LPA) for June–September 2026 [S2] | | June 2026 | Monsoon stalls; 35% national deficit recorded by 17 June [S1] |

Predecessors / Related Concepts - ENSO (El Niño–Southern Oscillation): Warm phase (El Niño) suppresses Indian monsoon; cold phase (La Niña) typically enhances it. - Indian Ocean Dipole (IOD): Positive IOD can partially offset El Niño's adverse effect on monsoon. - National Contingency Crop Planning framework exists under the ICAR (Indian Council of Agricultural Research) and Ministry of Agriculture & Farmers' Welfare.


4. Core Static Facts

Definitions & Classifications - Long Period Average (LPA): Rainfall averaged over 50 years (currently based on 1971–2020 period); baseline for anomaly measurement. - Below Normal Rainfall: <92% of LPA (IMD classification). - Normal Rainfall: 96–104% of LPA. - Excess Rainfall: >120% of LPA. - Deficit/Deficient Rainfall: <90% of LPA at district level (used for drought declaration).

IMD Forecast Categories (LPA %) | Category | LPA % Range | |----------|-------------| | Excess | >120% | | Above Normal | 110–120% | | Normal | 96–104% | | Below Normal | 90–96% | | Deficient | <90% |

Implementing Bodies - India Meteorological Department (IMD) — under Ministry of Earth Sciences (MoES) — issues monsoon forecasts. - Ministry of Agriculture & Farmers' Welfare (MoAFW) — contingency planning, crop advisories, input supply. - ICAR — develops district-level contingency crop plans. - CWC (Central Water Commission) — reservoir storage monitoring. - NDMA (National Disaster Management Authority) — drought management framework.

Key Numbers (2026 Episode) | Metric | Value | |--------|-------| | National deficit (17 June 2026) | 35% [S1] | | Central India deficit | -61% [S1] | | East & NE India deficit | -43% [S1] | | Southern Peninsula deficit | -14% [S1] | | Northwest India surplus | +5% [S1] | | Reservoir storage (May 2026) | 30.4% of capacity [S1] | | Reservoir storage in El Niño years (avg) | 25.1% [S1] | | Districts under priority monitoring | 150–200 [S1] | | IMD LRF Season deficit (1–10 June) | -26% [S2] | | IMD forecast (June–Sept 2026) | Below normal (<92% LPA) [S2] |


5. Multi-Dimensional Analysis

Economic

Social

Environmental

Administrative / Governance

Scientific / Technological

Historical


6. Recent Developments (Last 12–18 Months)


7. Prelims Hooks

  1. Southwest monsoon normally arrives in Kerala on 1 June and Mumbai around 11 June — any delay beyond 7 days is considered a significant anomaly.
  2. IMD's LPA (Long Period Average) for monsoon is currently calculated over the 1971–2020 base period.
  3. Below Normal rainfall = <92% of LPA (IMD classification); Deficient = <90% of LPA at district level.
  4. IMD is under the Ministry of Earth Sciences — NOT Ministry of Environment, Forest and Climate Change (common error).
  5. As of 17 June 2026, India's cumulative monsoon deficit stood at 35%. [S1]
  6. Central India recorded the highest regional deficit at 61% in the 2026 monsoon stall episode. [S1]
  7. Northwest India was the only region in surplus (+5%) during the same period. [S1]
  8. India's reservoir storage stood at 30.4% of capacity in May 2026, against a 25.1% average for El Niño years. [S1]
  9. The Union government placed 150–200 districts under priority monitoring during the 2026 monsoon deficit. [S1]
  10. El Niño (warm ENSO phase) suppresses Indian SW monsoon; La Niña typically enhances it.
  11. ICAR (under MoAFW) prepares district-level contingency crop plans activated during monsoon deficits.
  12. IMD issues its Long Range Forecast in two stages — Stage 1 in April, Stage 2 (updated) in June.
  13. Kharif season is sown June–July and harvested September–October; primary crops: rice, maize, cotton, pulses, soybean.
  14. Positive Indian Ocean Dipole (IOD) can partially compensate for El Niño's negative effect on Indian monsoon.
  15. Agriculture Minister Shivraj Singh Chouhan (MoAFW) directed States to prepare crop-wise contingency plans in June 2026. [S1]

8. Mains Relevance

GS Papers - GS-I: Physical Geography — Monsoon: mechanism, variability, ENSO linkage. - GS-III: Agriculture — Food security, kharif season, drought management; Disaster Management — drought preparedness, NDMA framework.

Specific Syllabus Headings - Distribution of key natural resources across the world (including South Asia and the Indian subcontinent) - Changes in critical geographical features and their effects on flora, fauna and human life (GS-I) - Food security, agriculture — issues and related constraints (GS-III) - Disaster and disaster management (GS-III)

Plausible Mains Question Stems 1. "Analyse the impact of El Niño-linked monsoon deficits on India's food security and rural livelihoods. What proactive governance mechanisms can minimise such risks?" (GS-III, 15 marks) 2. "The 2026 southwest monsoon deficit has exposed the fragility of India's kharif agriculture. Critically evaluate the effectiveness of India's contingency crop planning framework in mitigating monsoon risk." (GS-III, 15 marks) 3. "Discuss the role of ENSO (El Niño–Southern Oscillation) and the Indian Ocean Dipole in modulating India's monsoon variability. How has IMD improved its seasonal forecasting capabilities?" (GS-I, 10 marks)


9. Related Topics to Study Next

Topic Connection
ENSO & Indian Ocean Dipole Direct climate drivers of monsoon variability; mechanism questions frequently appear in Prelims/GS-I
National Drought Management Policy (2016) Statutory framework for government response to rainfall deficits; GS-III
PM-Fasal Bima Yojana (PMFBY) Crop insurance scheme activated during deficit monsoon years; GS-III scheme question
ICAR and Contingency Crop Planning Institutional mechanism for agricultural resilience to monsoon failure
Central Water Commission & Reservoir Monitoring Reservoir storage data directly cited in 2026 episode; water security linkage
Kharif vs Rabi seasons — cropping patterns Essential for understanding agricultural vulnerability mapping
NDMA Drought Management Guidelines Disaster Management Act 2005, NDMA's role in drought classification and response
India's groundwater crisis (CGWB) Deficit years accelerate bore well dependence; sustainability concerns

10. Common Errors / Trap Areas

  1. IMD under wrong ministry: IMD is under Ministry of Earth Sciences (MoES), NOT Ministry of Environment or Home Affairs. A common mistake in MCQs.
  2. Confusing LPA base period: Current LPA uses 1971–2020 (50-year average), not the older 1951–2000 base. Questions testing this have appeared.
  3. El Niño = always drought: Incorrect. El Niño suppresses monsoon on average, but positive IOD or other factors can partially offset it — deficit is probabilistic, not certain.
  4. Kharif vs Rabi confusion: Kharif is monsoon-sown (June–July), harvested in autumn; Rabi is winter-sown (Oct–Nov), harvested in spring. A deficit monsoon primarily threatens kharif, not rabi.
  5. "Deficient" vs "Below Normal" conflation: IMD uses "Below Normal" (<92% LPA) at national scale and "Deficient" (<90%) at district scale — these are distinct thresholds used in different administrative contexts.

11. Sources