Earth Sciences Minister Dr Jitendra Singh explains El Nino and its Monsoon impact in Lok Sabha reply

I have sufficient grounded facts (4+) from Tier 1 sources (PIB primary release + related PIB parliamentary Q&A). Proceeding to write the note.

1. At a Glance

• El Niño is a periodic warming of central/eastern equatorial Pacific sea-surface temperatures that alters global atmospheric circulation, historically associated with weaker Indian monsoons. [S1]
• News hook: Union Minister Dr Jitendra Singh told the Lok Sabha that El Niño conditions (developed May 2026) are likely to persist till February 2027, but stressed monsoon outcome depends on multiple climate drivers, not El Niño alone. [S1]
• UPSC relevance: tests science-technology (AI/ML forecasting), geography (ocean-atmosphere coupling), and governance (Ministry of Earth Sciences institutional architecture — INCOIS, Deep Ocean Mission). [S1]
• Showcases India's indigenous scientific capacity — an AI/ML-based ENSO prediction system developed by INCOIS. [S1]

2. Why in the News

• Dr Jitendra Singh, Union Minister of State (Independent Charge), Science & Technology and Earth Sciences, gave a written reply in the Lok Sabha (as reported via PIB dated 05 Aug 2026) on El Niño's monsoon impact, in response to a parliamentary question. [S1]
• He cited the latest INCOIS assessment: El Niño developed in May 2026 with 70-90% probability of persisting from June 2026 to February 2027. [S1]

3. Background & Evolution

• El Niño-La Niña form part of the El Niño–Southern Oscillation (ENSO), a natural, recurring ocean-atmosphere phenomenon in the tropical Pacific.
• INCOIS (Indian National Centre for Ocean Information Services), an autonomous body under the Ministry of Earth Sciences, has progressively built ocean/climate forecasting capability — from basic Ocean State Forecast (OSF) advisories to an indigenous AI/ML-based ENSO prediction system. [S1]
• This parliamentary reply follows a pattern of periodic Lok Sabha questions on "El Nino Effect on Monsoon and Rainfall" and "Preparedness for El Nino Conditions" answered by the Ministry of Earth Sciences in past sessions. [S2]
• Related earlier initiative: government's indigenous climate model to predict climate-change impact on monsoon, referenced in an earlier Jitendra Singh PIB statement. [S3]

4. Core Static Facts

5. Multi-Dimensional Analysis

Scientific/Technological - First indigenous AI/ML-based ENSO prediction system by INCOIS, moving beyond dynamical/statistical models to probabilistic, uncertainty-quantified forecasts. [S1] - Integration of Global Ocean Data Assimilation System with AI/ML signals India's shift toward hybrid physics + machine-learning climate forecasting. [S1]

Economic - El Niño-linked marine heatwaves over the Arabian Sea/Bay of Bengal could disrupt fish distribution, affecting coastal livelihoods and fisheries economy. [S1] - Weaker monsoon risk has downstream implications for agriculture-dependent rural economy (kharif sowing, reservoir levels), though minister avoided a deterministic claim. [S1]

Environmental - Possible weaker Indian Summer Monsoon rainfall in parts of the country under El Niño influence. [S1] - Marine heatwave risk over Arabian Sea and Bay of Bengal affecting ocean mixing and nutrient availability. [S1]

Administrative/Governance - Reinforces MoES/INCOIS institutional role as sole authoritative forecaster, reducing space for unverified private/social-media monsoon predictions. - Ocean State Forecasting and coastal early-warning systems flagged as strengthened response mechanisms, an inter-agency coastal-state coordination exercise. [S1]

Geopolitical/Strategic angle (limited) - Marine heatwave and wave/swell variability affect navigation — indirectly touches maritime safety and Indian Ocean Region (IOR) forecasting leadership ambitions. [S1]

6. Recent Developments (last 12-18 months)

• May 2026: El Niño conditions developed per INCOIS assessment. [S1]
• 05 Aug 2026: Dr Jitendra Singh's Lok Sabha reply detailing El Niño-monsoon linkage, published via PIB. [S1]
• Deep Ocean Mission continuing marine resource mapping funding (₹145.06 crore cited). [S1]

7. Prelims Hooks

• El Niño episode discussed in this reply developed in May 2026. [S1]
• Forecast: El Niño likely to persist till February 2027, with 70-90% probability. [S1]
• Nodal agency for ENSO prediction: INCOIS, not IMD. [S1]
• INCOIS is an autonomous body under the Ministry of Earth Sciences. [S1]
• INCOIS developed an indigenous AI/ML-based ENSO prediction system. [S1]
• Besides El Niño, monsoon is influenced by Indian Ocean Dipole (IOD) and Madden-Julian Oscillation (MJO). [S1]
• Deep Ocean Mission allocation cited for marine resource mapping: ₹145.06 crore. [S1]
• Ocean State Forecast (OSF) provides 10-day advance coastal forecasts. [S1]
• Answering minister: Dr Jitendra Singh, MoS (Independent Charge) for Science & Technology and Earth Sciences. [S1]
• El Niño is linked to increased risk of marine heatwaves over the Arabian Sea and Bay of Bengal. [S1]
• The system used alongside AI/ML is the Global Ocean Data Assimilation System. [S1]

8. Mains Relevance

• GS-I: Geography — Important Geophysical phenomena (El Niño, La Niña, IOD, MJO) and their effect on climate/monsoon.
• GS-III: Science & Technology (indigenous AI/ML forecasting); Disaster Management (early warning, coastal preparedness); Agriculture (monsoon dependence).
• Possible question stems:
• "Explain the mechanism of El Niño and discuss its interaction with other climatic phenomena like IOD and MJO in influencing the Indian monsoon."
• "Discuss the role of INCOIS in strengthening India's ocean and climate forecasting capabilities. How does AI/ML enhance ENSO prediction?"
• "Critically examine India's institutional preparedness for El Niño-induced climate variability, with reference to Deep Ocean Mission and Ocean State Forecast services."

9. Related Topics to Study Next

• La Niña & ENSO cycle — the counterpart phenomenon; often paired in Prelims MCQs.
• Indian Ocean Dipole (IOD) — competing/complementary Indian Ocean driver of monsoon variability.
• Deep Ocean Mission — parent scheme partly cited for marine resource mapping funding.
• India Meteorological Department (IMD) — distinguish IMD's monsoon forecasting mandate from INCOIS's ocean-forecasting mandate.
• Ocean State Forecast (OSF) services — coastal early-warning application.
• Madden-Julian Oscillation (MJO) — tropical atmospheric wave affecting monsoon onset/breaks.
• Ministry of Earth Sciences structure — INCOIS, NCCR, IITM, NCMRWF and their differentiated roles.
• Climate change and Indian monsoon variability — broader static-dynamic linkage for GS-III.

10. Common Errors / Trap Areas

• Confusing INCOIS (ocean information/ENSO prediction) with IMD (monsoon rainfall forecasting) — different mandates, both under MoES.
• Assuming El Niño always causes drought in India — minister explicitly clarified monsoon outcome depends on multiple factors (IOD, MJO), not El Niño alone.
• Misdating the El Niño episode — this is the 2026-27 episode (developed May 2026), not to be confused with earlier El Niño years (e.g., 2015-16, 2023-24).
• Attributing Deep Ocean Mission funding figure as El Niño-specific — it is a broader marine resource mapping allocation cited in the same reply. [S1]
• Assuming INCOIS is under IMD/MoES directly as a division — it is an autonomous body under the Ministry of Earth Sciences.

11. Sources

• [S1] Earth Sciences Minister Dr Jitendra Singh explains El Nino and its Monsoon impact in Lok Sabha reply — https://www.pib.gov.in/PressReleasePage.aspx?PRID=2294888 — (tier: 1)
• [S2] PARLIAMENT QUESTION: EL NINO EFFECT ON MONSOON AND RAINFALL — https://www.pib.gov.in/PressReleseDetailm.aspx?PRID=2083268&reg=3&lang=2 — (tier: 1)
• [S3] Government developed indigenous climate model to predict the impact of climate change on monsoon in the country — Dr Jitendra Singh — https://www.pib.gov.in/PressReleaseIframePage.aspx?PRID=1739511&reg=3&lang=2 — (tier: 1)