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Subject: ClimatologyXMonsoon,ENSO,IOD

  • Needed: A Super El Nino Abhiyan

    Why in the News

    Global forecasters give a 97% probability that the 2026 El Niño will continue into spring 2027. India lacks systematic data on how such events hit its ecosystems and livelihoods, so a Super El Niño Abhiyan joining scientific evidence, administrative readiness and societal empathy is proposed.

    What is a Super El Niño, and why does it matter for India?

    1. What El Niño is: El Niño is an unusual warming of the Pacific Ocean. Because warm water drives moisture laden winds, a hot Pacific disrupts the winds that pull monsoon rains toward India.
    2. Rare confidence: For the first time, the World Meteorological Organization (WMO), the US National Oceanic and Atmospheric Administration (NOAA) and other institutions are highly confident in an El Niño forecast.
    3. Strong event likely: NOAA puts 80% plus odds on a strong to very strong event, with sea surface temperatures over 2°C above normal, a rarely crossed threshold.
    4. Global stakes: The UN warns this “supersized” El Niño could deal massive economic blows. Coral core records suggest the worst event in a millennium.
    5. The takeaway: Strong El Niño years have coincided with India’s worst droughts, so a forecast this confident is a warning for farms, water and coasts.

    Why is India already vulnerable?

    1. Disasters as routine: With global warming intensifying extreme weather, 86% of days in 2023 saw an extreme weather event in India.
    2. Wide exposure: About 85% of districts are exposed to floods, droughts or cyclones.
    3. Weak monsoon: The southwest monsoon ended well below its long period average, the benchmark for normal rain. Some regions got half their normal September rain, hurting rice, pulses, cotton and maize.
    4. Worse ahead: Reservoirs are low heading into the rabi (winter crop) season, and the main impact is expected only from November.

    What could it do to ecosystems and coasts?

    1. Unknown inland effects: No one knows how it will affect grasslands, forests, rivers, phenology (the timing of plant growth and fruiting), farmers or pastoralists.
    2. Coral bleaching: Pacific temperatures are already 2.6°C above the 0.5°C El Niño threshold, so many reefs are expected to bleach and die.
    3. Fragile recovery: Nature Conservation Foundation researchers recorded a 50% decline in Lakshadweep’s reefs even without a Super El Niño. Some had only begun recovering.
    4. Marine heat stress: The Indian National Centre for Ocean Information Services (INCOIS) predicts severe heat stress in the Arabian Sea and Bay of Bengal peaking around March 2027, cutting catches of sardine and mackerel.

    Why must evidence be gathered before the shock, not after?

    1. Missing data: India has no systematic data on how El Niño events affect ecosystems and dependent communities.
    2. Lost coral record: The 1998 El Niño destroyed 80 to 90% of live coral on most Lakshadweep reefs studied. It is known only because researchers like Rohan Arthur were measuring.
    3. Call to ecologists: On September 16, 188 conservationists and researchers urged real time data collection and a joint effort across sectors instead of reacting after the fact.
    4. On site measurement: Monitoring should cover coral bleaching, rainforest tree deaths, fire risk, urban heat islands (cities trapping heat) and animal behaviour on the ground, not only by satellite remote sensing.
    5. Who pays: The government should facilitate access and funding, and philanthropic capital should treat the research as a moral imperative.

    Challenges

    1. Local forecast gap: Global El Niño odds do not translate into district rainfall forecasts farmers can act on.
    2. Fragmented agencies: Weather, ocean and ecology data sit with separate bodies that rarely share them.
    3. Access barriers: Research in protected sites needs permits. Eg. Entry to Lakshadweep requires a permit.

    Way Forward

    1. Shared data platform: The Ministry of Earth Sciences should pool India Meteorological Department (IMD), INCOIS and field ecology data on one open portal.
    2. Fast track permits: Forest and island administrations should clear research access within days.
    3. Lean season support: State fisheries departments should prepare income support if catches fall.

    Conclusion

    A strong El Niño on top of a weak monsoon makes the coming months a test of preparedness, not only of forecasting. What to watch is whether agencies start ground level monitoring of reefs, forests and livelihoods before heat stress peaks, so this event leaves evidence rather than anecdote.

    Key numbers

    1. Strong El Niño drought years in India: 1972, 2002 and 2009.
    2. Cropland damaged by extreme weather (2023): more than 2.2 million hectares.
    3. Projected Pacific anomaly: up to 4°C above the El Niño threshold.
    4. Lakshadweep reef decline period: 1998 to 2025.

    Matching Previous Year Question

    “[2017] With reference to ‘Indian Ocean Dipole (IOD)’ sometimes mentioned in the news while forecasting Indian monsoon, which of the following statements is/are correct? 1. IOD phenomenon is characterized by a difference in sea surface temperature between tropical Western Indian Ocean and tropical Eastern Pacific Ocean. 2. An IOD phenomenon can influence an El Nino’s impact on the monsoon. Select the correct answer using the code given below: (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2 Answer: B”

  • Season’s end

    Why in the News

    The India Meteorological Department (IMD) forecast a “below normal” monsoon, but the season ended “deficient” at 87% of normal, the outcome its own models had pointed to. Large regional misses and State drought declarations now question whether the IMD is too conservative in warning of shortfalls.

    How does the IMD forecast the monsoon, and what did it predict?

    1. What a seasonal forecast is: Two IMD forecasts, in April and May, estimate the season’s rain as a share of the Long Period Average (LPA), the long term mean used as “normal”. It is like a weather report for four months.
    2. Forecast categories: “Below normal” means 90% to 95% of average rain. Anything lower is “deficient”.
    3. El Niño: In an El Niño year the Central Equatorial Pacific warms, which suppresses monsoon rain. Global models agreed that one of the strongest El Niño events was coming.
    4. A cautious call: The IMD’s models pointed to “deficient” rain, yet it chose to forecast “below normal”.
    5. The takeaway: By picking the milder category, the IMD gave less warning of a shortfall its own science saw coming.

    How far did the season miss the forecast?

    1. National total: The monsoon ended at 759 mm against a normal of 869 mm.
    2. Technical victory: IMD forecasts allow an error window of 4% to 5%. The final figure sits inside it, so the IMD can claim only a technical success.
    3. June shortfall: June got 65% of its normal rain against a forecast of 92%.
    4. Northeast: The northeast, expected to be “normal”, had its driest season since 1901, falling 26% short.
    5. South and the rest: The south peninsula ran 23% short. Central and north west India finished close to predictions, helped by ocean conditions.

    Why are regional forecasts getting harder?

    1. Climate change: Warming makes rain patterns less regular and harder to forecast.
    2. Western disturbances: These extra-tropical rain bearing systems, which reach India from the west, are bringing more rain in the monsoon months, helping the north west.
    3. Southern volatility: Southern India is more vulnerable to El Niño triggered volatility in rainfall.
    4. Kharif sowing: Sowing of kharif (monsoon season) crops trailed last year’s by 16% in early July. By early September the gap had narrowed to under 2%.

    Why does a cautious forecast matter for drought response?

    1. Karnataka: The State has declared drought in over 100 taluks.
    2. Maharashtra: The State has declared drought in 265 of 358 taluks.
    3. National threshold: The national deficit of about 12% is below the Centre’s 20% threshold for “agricultural drought”, so the national figure masks local distress.
    4. Dry months ahead: The IMD expects El Niño to bring below normal rain from October to December, threatening soil moisture and reservoir recharge.
    5. Crop signals: The Cabinet raised the support price, the price the government guarantees farmers, by ₹25 a quintal for wheat and ₹413 for mustard. The larger mustard rise nudges crop diversification.

    Challenges

    1. Coarse resolution: National forecasts hide district level extremes that drive crop planning.
    2. Institutional caution: A forecaster judged on staying within its band may prefer the milder call.
    3. Shifting drivers: Pacific warming and extra-tropical systems interact differently each year, weakening models built on past patterns.
    4. Threshold mismatch: A single national drought test can miss distress concentrated in a few States.

    Way Forward

    1. Sub-regional systems: The IMD should improve its sub-regional forecast systems and issue unwelcome forecasts plainly.
    2. Show the models: The IMD should publish what its models project alongside its official category.
    3. Regional probabilities: Forecasts should state the probability of deficient rain for each region.
    4. Early contingency plans: States should use district forecasts to trigger alternative crop plans.

    Conclusion

    This monsoon showed that a forecast can be accurate for the country and still fail the regions that most needed a warning. The test now is whether the IMD’s outlook for the coming months warns districts early enough to act.

    Key numbers

    1. July rain: About 1 percentage point above the “below 94%” forecast.
    2. August rain: 84% of the LPA, in line with the “below 94%” forecast.
    3. September rain: 92.4%, a little above the forecast of “below 91%”.

    Back2Basics: Types of drought

    1. Meteorological drought: A significant rainfall deficiency over a period, usually 25% or more below normal. Eg. Marathwada (2015).
    2. Agricultural drought: Too little soil moisture for crops, cutting yields. Eg. Bundelkhand (2016).
    3. Hydrological drought: Falling river flows, reservoir storage and groundwater after prolonged rain deficits. Eg. Cauvery basin (2016).
    4. Socioeconomic drought: Water scarcity that disrupts livelihoods and food security. Eg. Vidarbha (2012 to 2013).

    Matching Previous Year Question

    “[2017] With reference to ‘Indian Ocean Dipole (IOD)’ sometimes mentioned in the news while forecasting Indian monsoon, which of the following statements is/are correct? 1. IOD phenomenon is characterized by a difference in sea surface temperature between tropical Western Indian Ocean and tropical Eastern Pacific Ocean. 2. An IOD phenomenon can influence an El Nino’s impact on the monsoon. Select the correct answer using the code given below: (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2 Answer: B”

  • Pressure on food prices: El Nino effect, geopolitical tensions / Dip in fertiliser sales warning signal

    Pressure on food prices: El Nino effect, geopolitical tensions / Dip in fertiliser sales warning signal

    Why in the News

    The southwest monsoon has finished 14.7 per cent below the long period average (LPA) as on 14 September, with 24 of India’s 36 meteorological subdivisions more than 10 per cent deficient. The shortfall tracks a strengthening El Nino, which weakened the easterly trade winds in August and cut the transport of moisture laden air towards the subcontinent. Kharif sowing has held up at 1,096.5 lakh hectares, only 1.4 per cent below the same point last year. Fertiliser sales and wholesale mandi prices point the other way. The tension is between a sowing figure that reads as normal and the input and price data that point to lower yields, arriving at the same moment as a turn upward in world food prices.

    What is El Nino?

    1. El Nino: It is an abnormal warming of sea surface temperatures in the equatorial Pacific Ocean off the coasts of Ecuador and Peru, which shifts global atmospheric circulation for several seasons at a time.
    2. Effect on the Indian monsoon: It weakens the easterly trade winds that carry moisture laden air from east to west towards the subcontinent, so rainfall systems that do form deliver less rain than their number suggests.
    3. Temperature effect: El Nino suppresses rainfall over India and also raises temperatures, which is why its consequences run past the monsoon into the winter crop season.
    4. Low pressure system (LPS): It is the rain bearing system of the monsoon, formed when warm moist air near the ground rises, cools and condenses into cloud.

    How did the monsoon actually behave month by month?

    1. June: Not a single low pressure system formed, against a monthly average of three systems covering about 11 days. All India rainfall was 38 per cent below the LPA for the month.
    2. July: Four systems formed, close to the climatological average, and each persisted longer than usual. Total LPS days reached 24 against an average of 13.56, and rainfall came in 1 per cent above the LPA.
    3. August: Six systems formed against a normal of 5.38, and LPS days reached 26 against a normal of 16.3. Rainfall still recorded a 16.3 per cent deficit, because weakened easterly trade winds cut moisture transport.
    4. Season and spatial spread: Cumulative rainfall to 14 September was 14.7 per cent below the LPA, with 24 of 36 subdivisions over 10 per cent deficient. The southern States, along with Marathwada and Vidarbha in Maharashtra, were worst affected.

    Why does sowing acreage understate the damage?

    1. Kharif acreage: Area sown under kharif crops was 1,096.5 lakh hectares as of 11 September, against 1,112.5 lakh hectares for the same period of 2025, a gap of only 1.4 per cent.
    2. Fertiliser sales: Sales in April to July 2026 fell across di ammonium phosphate (25.6 to 24.4 lakh tonnes), muriate of potash (7 to 5.9 lakh tonnes) and complex fertilisers (50 to 43 lakh tonnes) against the same months of 2025. Only single super phosphate rose, from 20 to 20.2 lakh tonnes.
    3. Urea: Sales fell 6.6 per cent despite policy interventions to secure natural gas for domestic production and to secure imports through the West Asia supply shocks.
    4. Mandi prices: Maize at Chhindwara in Madhya Pradesh is around Rs 2,625 a quintal against Rs 2,165 a year ago. Arhar at Akola is Rs 8,650 against Rs 6,200 and soyabean at Dewas Rs 6,150 against Rs 4,300.
    5. Output forecasts: The United States Department of Agriculture (USDA) has forecast India’s rice output falling to 147 million tonnes from an all time high of 154 million tonnes, and maize to 50 million tonnes from 55.1 million tonnes.
    6. The temporal and spatial pattern: Extended dry spells interspersed with heavy downpours, with rain largely confined to Odisha, Chhattisgarh, eastern Madhya Pradesh, Gangetic West Bengal, Jharkhand and Uttar Pradesh, translates into lower yields rather than into unsown land.

    What does the El Nino outlook mean for the rabi season?

    1. Current state: El Nino is in a strong state, with average sea surface temperatures in the equatorial Pacific roughly 1.8 degrees Celsius above normal.
    2. Projection: The National Oceanic and Atmospheric Administration (NOAA) projects a 90 per cent plus chance of a very strong event, meaning sea surface temperatures more than 2 degrees Celsius above normal, running from September through January.
    3. Decay path: The event is projected to stay strong, above 1.5 degrees Celsius, until March, and weak to moderate, 0.5 to 1.5 degrees Celsius, until May.
    4. Crops at risk: A short and warm winter would hit the rabi crop, from wheat, rapeseed mustard, chana, masoor and matar to potato, onion, garlic, jeera, saunf and dhaniya.

    Why are world food prices turning up now?

    1. The buffer that held: The West Asia conflict produced no dramatic spike in world food prices, unlike Russia’s invasion of Ukraine in 2022, because back to back bumper crops in 2024 to 2025 and 2025 to 2026 left ample stocks of wheat, rice, maize, sugar, soyabean, rapeseed and palm oil.
    2. The index: The Food and Agriculture Organisation (FAO) food price index, a weighted average of world prices of a basket of food commodities against a 2014 to 2016 base value of 100, stood at 133.3 points in August, the highest since November 2022 and below the all time high of 160.2 points in March 2022.
    3. Where the pressure sits: The vegetable oil index was the highest since June 2022 and the cereal index edged to a 27 month high.
    4. Vegetable oils: Landed Mumbai prices of imported crude palm, soyabean and sunflower oil are $1,285, $1,300 and $1,450 per tonne, against September 2025 averages of $1,164, $1,182 and $1,293.
    5. Cereals: Wheat export prices firmed over the past year from $228 to $262 per tonne for Argentina, $226 to $290 for the European Union, $251 to $319 for Australia and $235 to $354 for the United States. Corn from Argentina and Brazil is exported at $219 and $238 against $200 and $210 a year ago.
    6. The direction of travel: A running down of stocks, disrupted trade logistics from escalating tensions in West Asia and Russia Ukraine, and a strengthening El Nino all push world prices the same way.

    Challenges to India’s food price management under El Nino

    1. Import dependence in edible oils: India imports the bulk of its vegetable oil, so a world price move passes into domestic retail prices within weeks regardless of the domestic harvest. Eg. Landed Mumbai prices of crude palm, soyabean and sunflower oil are all above their September 2025 averages.
      The Fix: Tie import duty changes to a stated trigger price rather than announcing them after the retail price has already moved.
    2. Procurement concentrated in two crops: Assured purchase at the support price operates at scale for wheat and rice, so a pulse or oilseed grower carries the full price risk of a bad season. Eg. Pulse and oilseed prices at Akola and Dewas moved sharply this year with no procurement floor doing the work.
      The Fix: Extend physical procurement capacity to pulses and oilseeds in the deficit districts rather than relying on an announced floor alone.
    3. Input withdrawal is invisible in acreage data: A farmer who sows but cuts fertiliser use produces a yield shortfall that no sowing statistic records until harvest. Eg. Kharif area was 1.4 per cent below last year while fertiliser sales fell across every major category except single super phosphate.
      The Fix: Publish district level fertiliser offtake alongside the weekly sowing bulletin so the yield signal arrives before the harvest does.
    4. Irrigation cover decides the rabi outcome: The winter crop depends on stored soil moisture and reservoir levels built during the monsoon, which a deficient season does not deliver. Eg. The southern States, Marathwada and Vidarbha carried deficits above 10 per cent this season.
      The Fix: Sequence reservoir releases for the rabi sowing window in the deficient subdivisions rather than for the standing kharif crop alone.
    5. Buffer stocks cannot absorb a domestic and a world shock together: Releasing stock cools the domestic market only where the commodity is one the state actually holds. Eg. Duty free imports of up to 10 lakh tonnes of raw sugar were allowed until 31 October after inventory fell to multi year lows.
      The Fix: Hold a standing calibrated import window for commodities with no domestic buffer, so the decision is not taken at the festival season peak.

    Conclusion

    Food price pressure this year is not a single monsoon question. A rainfall deficit, a pullback in purchased inputs and a turn in world prices are three separate pressures that have arrived together, and only the first of them ends with the season. The winter crop is where the remaining two will be counted, since the same ocean warming that suppressed the rains is projected to persist into the sowing window. The rabi sowing period is the next decision point, and input availability and reservoir cover in the deficient subdivisions are the markers to watch.

    Matching Previous Year Question

    “[2014, GS1, 10 marks] Most of the unusual climatic happenings are explained as an outcome of the El-Nino effect. Do you agree?”

  • El Nino to peak during Oct-Dec this year, says US climate agency

    Why in the News

    The current El Nino event will enter its peak phase during October to December this year and will prevail through the winter season. The National Oceanic and Atmospheric Administration (NOAA) puts the chance of the event intensifying further into the “very strong” category at greater than 90 per cent. Sea surface temperatures in the key Nino regions continued to rise through August and clocked readings of 1.8 to 3 degrees Celsius. On that trajectory the 2026 El Nino would be a historic event, the strongest ever recorded since 1950. The consequence is that a year of below normal rainfall and above normal temperature is now being forecast with confidence rather than flagged as a possibility.

    What is El Nino?

    1. El Nino: El Nino is a naturally occurring ocean and atmospheric phenomenon in which abnormal warming is recorded along the equatorial and central Pacific Ocean waters.
    2. What drives the warming: The easterly trade winds that normally push warm surface water towards the western Pacific weaken, so warm water spreads back eastward and suppresses the cold upwelling off South America.
    3. Global weather effects: El Nino conditions are linked to extreme weather across the globe, in the form of higher than average temperatures, rainfall or droughts.
    4. El Nino Southern Oscillation cycle: It is the warm phase of the El Nino Southern Oscillation, whose cool phase is La Nina, and the cycle recurs irregularly rather than on a fixed calendar.

    What does the latest assessment actually record?

    1. The temperatures kept climbing: Sea surface temperatures continued to rise in August, and the key Nino regions clocked readings of 1.8 to 3 degrees Celsius.
    2. The index confirms acceleration: The latest Nino index, covering June through August, rose by 0.4 degrees Celsius over the May to July value, confirming a rapidly intensifying event.
    3. The category is expected to move up: NOAA puts the chance of intensification into the “very strong” category at greater than 90 per cent.
    4. The duration is not short: The event is expected to prevail through the winter season, beyond the October to December peak.
    5. Strongest event since 1950: The 2026 event would be the strongest recorded since 1950, which is the start of the comparable record.

    Challenges posed by a very strong El Nino

    1. The Indian monsoon weakens in most El Nino years: A warm eastern Pacific shifts the rising limb of the Walker circulation away from the Indian Ocean, which suppresses monsoon rainfall over India. Eg. The very strong event of 2015 and 2016 followed consecutive deficient monsoons in India in 2014 and 2015.
      The Fix: Trigger the contingency crop plans of the Indian Council of Agricultural Research at the forecast stage rather than after a rainfall deficit is confirmed, so short duration and drought tolerant seed reaches districts before sowing.
    2. Reservoir and groundwater stress follows the deficit by months: A weak monsoon empties storage that the following summer depends on, so the damage peaks long after the event is over. Eg. Southern States drawing on hydropower face the shortfall in the dry season that follows a deficient monsoon.
      The Fix: Set reservoir drawdown limits for the post monsoon season on the forecast rather than on the current storage level, so carryover is protected.
    3. Food price inflation moves with a small production shortfall: A modest fall in output of pulses, oilseeds and vegetables translates into a disproportionate price rise because those crops have thin buffer stocks. Eg. Pulses and edible oils are already import dependent, so a domestic shortfall is met at world prices.
      The Fix: Pre position import contracts for pulses and edible oils in the peak forecast window, so procurement is not made in a market that has already moved.
    4. Marine fisheries are disrupted by the same warming: Suppressed upwelling cuts nutrient supply and moves fish stocks, which hits coastal livelihoods that carry no crop insurance equivalent. Eg. The collapse of the Peruvian anchoveta catch is the classic documented El Nino fishery effect.
      The Fix: Extend forecast linked advisories and lean season support to registered marine fishers on the same basis as agricultural advisories.
    5. A strong event raises the global temperature record itself: El Nino releases ocean heat into the atmosphere, so the warmest years on record cluster in El Nino years and compound the underlying warming trend. Eg. Heat released during a strong event is added on top of the long term rise rather than substituting for it.
      The Fix: Issue heat action plan activation thresholds for the following summer at the time of the peak forecast, so city level preparation runs on the seasonal outlook rather than on the first heatwave.

    Conclusion

    The forecast has moved from probability to expectation, since the agency now attaches a greater than 90 per cent chance to further intensification and expects the event to hold through the winter. That gives India a lead time of several months between the warning and the season in which the consequences land, which is the interval in which seed, storage and import decisions are actually made. The status is that the event is intensifying and unbroken, and the next milestone is the peak window itself, when the category will either be confirmed or fall short of it.

    Back2Basics: The Nino regions and the Nino index

    1. What the regions are: The Nino regions are fixed boxes in the equatorial Pacific, numbered 1+2, 3, 3.4 and 4, running from the South American coast westward.
    2. Nino 3.4 as the standard region: Nino 3.4, in the central equatorial Pacific, is the region used for standard El Nino Southern Oscillation monitoring.
    3. What the index measures: The index tracks the sea surface temperature anomaly, meaning the departure from the long period average for that region, rather than the absolute temperature.
    4. How an event is classified: Sustained positive anomalies of half a degree Celsius or more mark an El Nino, and anomalies of about 2 degrees Celsius and above place it in the “very strong” category.

    Matching Previous Year Question

    “[2017] With reference to ‘Indian Ocean Dipole (IOD)’ sometimes mentioned in the news while forecasting Indian monsoon, which of the following statements is/are correct? 1. IOD phenomenon is characterized by a difference in sea surface temperature between tropical Western Indian Ocean and tropical Eastern Pacific Ocean. 2. An IOD phenomenon can influence an El Nino’s impact on the monsoon. Select the correct answer using the code given below: (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2 ANSWER: (b)”

  • WMO warns of ‘very’ strong El Nino, to last until February 2027

    WMO warns of ‘very’ strong El Nino, to last until February 2027

    Why in the News

    The World Meteorological Organization (WMO) has warned of an impending very strong El Nino that is expected to strengthen and last until February 2027. Its Secretary General stated that El Nino is firmly established and has the potential to deliver a massive blow to communities and economies across the world.

    How does El Nino work?

    1. The mechanism: El Nino is a periodic warming of sea surface temperatures in the equatorial and eastern Pacific Ocean, caused by a weakening of the trade winds.
    2. Why it travels: The warming moves the region where heat and moisture rise into the atmosphere, which alters temperature and rainfall patterns far from the Pacific.
    3. Its rhythm: The phenomenon recurs every two to seven years and a single event lasts up to about twelve months.
    4. What it produces: It is known to trigger heatwaves, wet spells and extreme temperatures.

    How strong is this event, and how is that graded?

    1. The index used: Intensity is determined by the sea surface temperature averaged over three months in the Nino 3.4 region along the equatorial Pacific Ocean.
    2. The readings so far: The index surpassed 1.5 degrees Celsius above normal during May to July and crossed 2 degrees Celsius above normal in July.
    3. The persistence forecast: The likelihood of El Nino continuing through February 2027 is put at close to 100 percent, the first time the agency has forecast an event at that degree of certainty.
    4. A possible record: Exceptionally warm Pacific temperatures make this potentially the strongest El Nino since monitoring began.

    What does it mean for India this season?

    1. The monsoon largely escaped: The India Meteorological Department (IMD) confirmed that rainfall in the later half of August came under the influence of the developing El Nino. With three fourths of the season over, the monsoon has largely escaped it.
    2. A countervailing signal: A positive phase of the Indian Ocean Dipole is expected to develop during September to November, with a seasonal mean value of 0.9 degrees Celsius.
    3. Why the offset matters: A positive Dipole strengthens rainfall over the Indian region and can therefore work against El Nino’s drying influence.
    4. The offset is not assured: The Dipole swung briefly towards the positive phase in late August and then returned to neutral.

    What is the WMO doing about it?

    1. A mobilisation without precedent in the agency: The Secretary General described this as the largest mobilisation with National Meteorological and Hydrological Services in the WMO’s fifty year history.
    2. Why those agencies: National meteorological services are the bodies that convert a global seasonal outlook into forecasts and warnings people can act on.
    3. Impacts are already visible: Droughts and floods are already causing disruption, and the agency expects these to intensify as the event strengthens.
    4. The recent record: Europe recorded one of its hottest summers in recent decades this year, and August brought record temperatures in many parts of the globe.

    Challenges to acting on an El Nino warning

    1. A seasonal outlook is not a local forecast: El Nino shifts the odds of dry conditions across a season and cannot say what a particular district receives in a particular week. Eg. The 2023 monsoon closed about 6 percent below normal for India as a whole, and several subdivisions still recorded surplus rain.
      The Fix: Issue impact based forecasts at district level that translate the seasonal outlook into expected effects on sowing dates, reservoir filling and power demand.
    2. The Indian Ocean modifies the Pacific signal: El Nino’s effect on the Indian monsoon depends on the state of the Indian Ocean, so an El Nino year is not automatically a drought year. Eg. The 1997 event was among the strongest recorded and the Indian monsoon that year was normal.
      The Fix: Publish the El Nino and Dipole outlooks as one combined regional signal rather than as two separate advisories a user has to reconcile.
    3. Warnings stop short of the last mile: Early warning coverage remains uneven for small farmers and fishing communities who cannot act on a technical bulletin. Eg. The United Nations Early Warnings for All initiative exists because a large share of the world’s population is still not covered by any early warning system.
      The Fix: Route advisories through State agriculture extension and fisheries departments in local languages, tied to one specific recommended action.
    4. Reservoirs are operated on inflows, not on forecasts: Storage decisions respond to water already received, so a deficit is managed only after it has appeared. Eg. Southern region reservoirs stood far below their ten year average through the summer of 2024, after the previous year’s deficient monsoon.
      The Fix: Write seasonal forecasts into reservoir rule curves so storage is conserved in advance of a forecast dry season.
    5. The consequences outlast the monsoon: El Nino affects the rabi season and global crops, so the exposure continues well after the Indian monsoon withdraws. Eg. India restricted rice exports during the 2023 El Nino year on domestic supply concerns.
      The Fix: Set buffer stock and import cover decisions against the forecast horizon rather than against the harvest just completed.

    Conclusion

    The forecast has settled the question of whether the event arrives and left open only what is done before it peaks. India’s monsoon has escaped this season, so the exposure shifts to the rabi crop, to reservoir storage and to the summer that follows. The marker to watch is whether the Indian Ocean Dipole holds its positive phase long enough to blunt the Pacific signal over the region.

    Back2Basics: Indian Ocean Dipole

    1. What it is: The Indian Ocean Dipole is the difference in sea surface temperature between the western and the eastern parts of the tropical Indian Ocean.
    2. Positive phase: The western Indian Ocean is warmer than the eastern part near Indonesia, which favours stronger rainfall over the Indian subcontinent and East Africa.
    3. Negative phase: The eastern part is warmer, which suppresses rainfall over India and shifts it towards Indonesia and Australia.
    4. How it is tracked: It is measured as the Dipole Mode Index, the temperature gradient between the two poles of the ocean.

    [2017] With reference to ‘Indian Ocean Dipole (IOD)’ sometimes mentioned in the news while forecasting Indian monsoon, which of the following statements is/are correct?

    1. IOD phenomenon is characterized by a difference in sea surface temperature between tropical Western Indian Ocean and tropical Eastern Pacific Ocean.

    2. An IOD phenomenon can influence an El Nino’s impact on the monsoon.

    Select the correct answer using the code given below:

    (a) 1 only

    (b) 2 only

    (c) Both 1 and 2

    (d) Neither 1 nor 2

  • After hottest August, bleak outlook for September rain

    After hottest August, bleak outlook for September rain

    Why in the News

    The India Meteorological Department (IMD) has forecast September rainfall at least 9 per cent short of the long period average of 167.9 mm, the average rainfall recorded for that month over several decades against which every seasonal forecast is stated.

    What does the September outlook actually say?

    1. September carries about a fifth of the season’s rain: July contributes 32 per cent and August 29 per cent of the June to September monsoon total.
    2. Some regions are exempt from the deficit call: Parts of northwest, northeast, east and east-central India and isolated areas of southeast peninsular India could receive “normal to above-normal rainfall”.
    3. Temperatures are forecast above normal at both ends: Maximum temperatures are expected above normal over most of India and minimum temperatures above normal over most areas.
    4. Recent Septembers have run against the longer pattern: September rainfall has seen a relative uptick in recent years.
    5. The previous outlook proved accurate: The IMD’s 31 July outlook had indicated below normal rainfall for August over much of the country, and the agency assessed that it matched observations over many regions.

    What made August the hottest since 1901?

    1. The average minimum temperature was the highest on record: It reached 24.36 degrees Celsius for the month.
    2. Rainfall was among the lowest for the month this century: India received 213.3 mm in August, the seventh lowest since 2001.
    3. El Nino is the stated cause: The IMD Director General attributed the heat to the ongoing El Nino, which dries out the atmosphere and raises temperatures.
    4. The month was not uniformly dry: Repeated low pressure systems brought heavy rain across the Indo-Gangetic Plains and parts of central and eastern India.
    5. The warming phase is expected to strengthen: IMD models indicate El Nino conditions will intensify through the remainder of the 2026 southwest monsoon season.

    Why did an unusually long run of low pressure days not lift the rainfall total?

    1. Four systems persisted for 26 days: Low pressure systems, the precursors to cyclonic storms, lasted a combined 26 days in August against a climatological average of 16.3 days.
    2. The systems all took the same track: They formed repeatedly over the Bay of Bengal, moved west-northwest and weakened over central and northern India.
    3. Their rain stayed within one belt: Rainfall activity from those systems was confined to the Indo-Gangetic Plain.
    4. Western Disturbances narrowed the spread further: These extra-tropical storms originating in the Mediterranean interacted with the monsoon circulation and with low pressure and cyclonic circulations. The interaction concentrated intense rainfall over eastern, east-central and parts of northwestern India rather than producing a widespread monsoon revival.

    How uneven has the season been across regions?

    1. Only central India ended August in surplus: Every other region closed the month below its normal cumulative rainfall.
    2. Three large regions carry the shortfall: The northwest, the east and northeast, and the south peninsula all recorded deficits.
    3. The deficit is deepest in the east and the south: The shortfall was particularly pronounced in the east and northeast and in the southern peninsula.
    4. A dry September would land on the same regions: Many parts of the country are expected to remain drier than normal, so the areas already short of rain gain no correction from the final month.

    Challenges to seasonal monsoon forecasting in India

    1. Seasonal skill is weakest exactly where it is needed: A national rainfall percentage carries far more confidence than the district level distribution a farmer sows against. Eg. The August forecast was correct on direction at the national level and did not anticipate that the month’s rain would concentrate on the Indo-Gangetic Plain.
      The Fix: Publish probabilistic district level outlooks with stated confidence intervals alongside the national figure, so an advisory can be issued at the scale sowing decisions are taken.
    2. The benchmark itself shifts: The long period average is recalculated against a moving set of decades, so a deficit against one baseline is not comparable with a deficit against another. Eg. The IMD revised the all-India seasonal normal downward when it updated the reference period, which changed what counted as a normal monsoon year.
      The Fix: Fix a published revision cycle for the normals and report every seasonal figure against both the old and the new baseline in the transition year.
    3. A normal seasonal total conceals destructive intensity: Rainfall delivered in a few heavy spells produces flooding and crop loss even where the season closes at normal. Eg. Kerala in 2018 recorded heavy concentrated spells in August that caused the State’s worst floods in a century.
      The Fix: Report the number of heavy and very heavy rainfall days alongside the seasonal total, so intensity enters the headline measure.
    4. El Nino does not translate into deficit with any reliability: The correlation between a warm Pacific and a weak Indian monsoon holds on average and fails in individual years. Eg. 1997 was among the strongest El Nino years on record and India’s monsoon rainfall that year was normal.
      The Fix: Report the Indian Ocean Dipole state and the Madden-Julian Oscillation phase alongside El Nino, since these are the drivers that offset it.
    5. A rainfall deficit becomes a crop loss through irrigation gaps: Under half of India’s net sown area is irrigated, so a shortfall passes directly into kharif output and food prices. Eg. Marathwada’s consecutive deficit years in 2015 and 2016 emptied reservoirs and forced water to be moved to Latur by rail.
      The Fix: Tie contingency crop planning and seed buffer releases to the mid-season forecast rather than to the end of season assessment.

    Conclusion

    Overall, the September outlook highlights the increasing variability of India’s monsoon. Better regional forecasting, climate monitoring, water management and timely farm advisories can help reduce the impact of rainfall deficits and build greater climate resilience.

    Back2Basics: El Nino Southern Oscillation

    1. What it is: The El Nino Southern Oscillation (ENSO) is the coupled ocean and atmosphere cycle in the tropical Pacific that redistributes rainfall across the tropics on a two to seven year rhythm.
    2. Three phases: El Nino is the warm phase, La Nina the cool phase, and the neutral phase sits between them.
    3. How it is measured: The Oceanic Nino Index tracks sea surface temperature anomalies in the central Pacific Nino 3.4 region, and the Southern Oscillation Index tracks the sea level pressure difference between Tahiti and Darwin.
    4. Why India tracks it: El Nino years are statistically associated with weaker southwest monsoon rainfall, and a positive Indian Ocean Dipole can partly offset that effect.

    “[2015, GS1, 12.5 marks] How far do you agree that the behavior of the Indian monsoon has been changing due to humanizing landscapes? Discuss.”

  • Monsoon revived, but why there’s cloud over the farm

    Why in the News?

    The southwest monsoon’s revival in July, despite a strengthening El Nino, has sharply narrowed the gap in area sown under kharif crops this season. The relief exposes a deeper tension between a recovering kharif and the mounting risks to the rabi season and to food inflation from El Nino’s lagged effect and a surge in global vegetable oil prices.

    Why did a sowing gap open and how did July reverse it?

    1. Weak start: Rainfall in June was 38 percent below the long period average, making it the sixth driest June in India since 1901, with not a single low pressure system forming.
    2. Early shortfall: By 6 July farmers had planted only 350.85 lakh hectares, which was 20.8 percent below the 442.80 lakh hectares sown in the same period of 2025.
    3. July turnaround: In July the country recorded four low pressure systems against a normal of three. These moved slowly, producing about 24 affected days against a normal of 14, lifting all India July rainfall to 2.4 percent above the average.
    4. Recovery: By 7 August the 967.92 lakh hectares covered was only 1.8 percent lower than last year, with the pulses gap down to 1.8 percent, cotton to 0.4 percent, and oilseeds exceeding last year’s level.

    What is El Nino and why does its effect lag?

    1. Definition: El Nino is the abnormal warming of surface waters in the central and eastern Pacific Ocean off Peru and Ecuador that suppresses monsoon rainfall over India.
    2. Lagged impact: El Nino’s effect on rainfall and temperatures comes with a lag of one to two months and can play out over five to six months or more.
    3. Current phase: It intensified from a weak to moderate phase in June into a moderate to strong event in July, and global agencies expect it to turn very strong during October to December.

    Why is the worst not yet over?

    1. Late kharif needs rain: Crops need rainfall during August and early September for flowering and grain formation that determine yields. Meteorological Department has predicted a fresh low pressure system around 12 August.
    2. Delayed hit: Because El Nino’s rainfall suppressing effect lags, its worst impact is still to come.
    3. Rabi at risk: A strengthening El Nino raises temperatures, and a short warm winter harms wheat, mustard and potato yields, so the real threat is to the rabi season.

    What does the FAO Food Price Index show?

    1. Index high: The United Nations Food and Agriculture Organization (FAO) food price index touched 131.1 points in July, up 1 percent from July 2025 and the highest since the 131.4 of January 2023, a three and a half year high. This means food prices are now at their highest level in about 3½ years.
    2. Vegetable oils drive it: The vegetable oils index reached 195.7 points, up 17.3 percent year on year and the highest since June 2022.
    3. Mixed components: The cereals index was 113.8 points, up 6.9 percent, while dairy fell 24.8 percent, sugar fell 8 percent, and meat rose just 0.8 percent.
    4. Causes: The rise is attributed to El Nino, heatwave hit crop yields in Europe, and supply disruptions from conflicts in West Asia and Ukraine.

    Why are vegetable oils the real concern for India?

    1. Import exposure: The combined value of India’s imports of oilseeds, pulses and cotton was close to 25 billion dollars in 2025-26, which El Nino could push to a new high.
    2. Biofuel diversion: Firming vegetable oil prices stem mainly from diversion of palm, rapeseed and soyabean oil toward biofuel as petroleum prices harden.
    3. Fuel substitution: These oils are used to make fatty acid methyl esters, a substitute for petroleum diesel, linking food and fuel markets.
    4. Buffer available: The government held 92.6 million tonnes of rice and wheat on 1 July against a required minimum of 41.1 million tonnes, plus over 4 million tonnes of pulses, which can be offloaded to contain inflation.

    Conclusion

    The July monsoon revival has rescued the kharif season, cutting the sowing gap to under 2 percent even as El Nino strengthened. The central worry has shifted to the rabi season and to food inflation, since El Nino’s temperature and rainfall effects lag and global vegetable oil prices are at multi year highs. Ample public grain stocks give the government room to manage food inflation, but the rabi outlook and edible oil import bill remain the open risks.

    Back2Basics:

    Foundational Context: Climate Change and Food Security

    1. About: Food security means reliable physical and economic access to sufficient, safe and nutritious food, which climate variability directly threatens.
    2. Tropical vulnerability: Tropical countries face greater exposure because agriculture is rain dependent and heat sensitive.
    3. India context: A large share of India’s cropped area is rainfed, tying output to monsoon performance.
    4. Transmission channels: Erratic rainfall, heat stress, pest incidence and global price shocks each transmit climate risk to food systems.

    FAO Food Price Index

    1. Convening body: Published by the United Nations Food and Agriculture Organization (FAO).
    2. What it measures: A weighted average of world prices of a basket of food commodities against a base period value taken as 100 for 2014 to 2016.
    3. Components: Tracks separate indices for cereals, vegetable oils, dairy, meat and sugar.
    4. Frequency: Released monthly.
    5. Recent reading: Touched 131.1 points in July, a three and a half year high.

    Government Initiatives for Agriculture and Edible Oils

    1. National Mission on Edible Oils Oil Palm: Mission to raise domestic oil palm and edible oil production and cut import dependence.
    2. PM-AASHA: Umbrella scheme assuring remunerative prices to farmers, especially for oilseeds and pulses.
    3. Price Stabilisation Fund: Buffer stock mechanism to moderate volatility in pulses and other commodities.
    4. Minimum Support Price: Price assurance to encourage sowing of pulses and oilseeds.

    Key Facts about the Monsoon and Kharif Season

    1. Sixth driest June: June 2026 was the sixth driest June since 1901.
    2. July rainfall: All India July rainfall was 2.4 percent above the long period average.
    3. Import bill: Oilseeds, pulses and cotton imports neared 25 billion dollars in 2025-26.
    4. Grain stocks: 92.6 million tonnes of rice and wheat held on 1 July against a 41.1 million tonne minimum.

    Challenges in Indian Agriculture

    1. Rainfall dependence: A large rainfed area leaves output exposed to monsoon swings.
    2. Import reliance: High dependence on imported edible oils and pulses exposes India to global prices.
    3. Climate volatility: El Nino and heatwaves disrupt both kharif and rabi seasons.
    4. Price transmission: Global food and fuel price shocks feed domestic inflation.
    5. Storage and logistics: Post harvest losses and uneven buffer management persist.
    6. Yield gaps: Low productivity in pulses and oilseeds constrains self sufficiency.

    Way Forward

    1. Raise oilseed output: Expand area and yields under the edible oils mission to cut imports.
    2. Diversify cropping: Promote pulses and climate resilient varieties in rainfed regions.
    3. Strengthen buffers: Use public grain and pulse stocks proactively to contain inflation.
    4. Improve forecasting: Sharpen monsoon and El Nino forecasting for sowing decisions.
    5. Invest in irrigation: Extend micro irrigation to reduce rainfall dependence.

    PYQ Relevance

    [UPSC 2023] Discuss the consequences of climate change on the food security in tropical countries.

    Linkage: The PYQ directly addresses the impact of climate change and climatic variability on food security in tropical countries. El Niño, erratic monsoons, heat stress and global food prices show how climate risks affect India’s kharif, rabi and food inflation.

  • Monsoon revives but El Nino threatens the rabi crop

    Why in the News

    The southwest monsoon has revived, cutting the seasonal deficit to 11.5%, but warns that a possible El Nino threatens the rabi crop and keeps urea supply in focus.

    What is El Nino?

    1. Definition: El Nino is the abnormal warming of the central and eastern Pacific that weakens the Indian monsoon and disrupts rainfall.
    2. Crop link: A weak or erratic monsoon reduces soil moisture and reservoir storage needed for the winter rabi crop.

    Why does the rabi outlook matter?

    1. Food and prices: Wheat and other rabi crops shape food inflation and buffer stocks.
    2. Input dependence: Adequate urea and irrigation are needed to protect rabi output if rainfall falters.
    3. Recovery is partial: A narrowed deficit does not remove the risk that late-season El Nino conditions bring.

    Conclusion

    A recovering monsoon eases the kharif outlook but leaves rabi exposed to El Nino. The next milestone is confirmation of El Nino conditions before the rabi season.

    PYQ Relevance

    [UPSC 2015]How far do you agree that the behavior of the Indian monsoon has been changing due to humanizing landscapes? Discuss.

    Linkage: The PYQ explores changing monsoon behaviour and its impact on Indian agriculture. El Niño-induced rainfall variability shows how climatic and human factors can alter monsoon patterns and crop outcomes.

  • Gujarat deluge erases monsoon deficit, but overall rain still low

    Why in News?

    Heavy rainfall in Gujarat erased India’s July rainfall deficit, but the overall southwest monsoon (June-September) remains below normal.

    Key Highlights

    • Cumulative rainfall since 1 June is 16.1% below normal.
    • East & Northeast India: 31.9% rainfall deficit.
    • South Peninsula: 26.8% deficit.
    • Heavy rainfall in Gujarat resulted from a low-pressure system interacting with a Western Disturbance.
    • Over 40,500 people were evacuated and 6,367 rescued due to flooding.
    • Ahmedabad recorded 294.6 mm rainfall in 24 hours, its highest since 2000.
    • Weak El Niño conditions have contributed to uneven monsoon distribution, affecting agriculture.

    El Niño

    • Warm phase of the El Niño-Southern Oscillation (ENSO).
    • Characterised by warming of the central and eastern equatorial Pacific Ocean.
    • Generally leads to weaker southwest monsoon and below-normal rainfall in India.

    IMD Classification of Rainfall

    • Normal: 96% to 104% of Long Period Average (LPA).
    • Below Normal: 90% to 96% of LPA.
    • Deficient: Less than 90% of LPA.

    Southwest Monsoon

    • Contributes nearly 75% of India’s annual rainfall.
    • Normally spans June to September.
    • Two branches:
      • Arabian Sea Branch
      • Bay of Bengal Branch

    PYQ (2014, GS1, 10 Marks) Most of the unusual climatic happenings are explained as an outcome of the El Niño effect. Do you agree?
    [2020] With reference to Ocean Mean Temperature (OMT), which of the following statements is/are correct?

    1.OMT is measured up to a depth of 26ºC isotherm which is 129 meters in the south-western Indian Ocean during January-March.
    2.OMT collected during January-March can be used in assessing whether the amount of rainfall in monsoon will be less or more than a certain long-term mean.
    Select the correct answer using the code given below:
    a) 1 only
    b) 2 only
    c) Both 1 and 2
    d) Neither 1 nor 2

  • Behind Europe’s heatwave, cliamte change the culprit

    Why in the News?

    A World Weather Attribution (WWA) study has confirmed climate change as the unequivocal cause of the ongoing European heatwave, which has broken or is forecast to break historic heat-stress records in 45% of 854 cities analysed. The finding sharpens a wider gap between the certainty climate science now offers and the declining political priority accorded to climate action.

    What does the WWA study establish about the causal role of climate change in the current heatwave?

    1. Unequivocal attribution: WWA found climate change, not the El Niño phenomenon or any other factor, responsible for the European heatwave.
    2. Recurrence pattern: This is the third severe heatwave to grip Europe in five years, after 2022 and 2023.
    3. Mortality scale: More than 1,300 excess deaths have been recorded since 21 June; over 1,00,000 people are estimated to have died from extreme heat across 2022 and 2023.
    4. Probability shift: Record-breaking night-time highs are nearly 100 times more likely now than in 2003; daytime peak temperatures are nearly 10 times more likely.
    5. Historical baseline broken: Temperature records being broken were set in 1976; the current daytime and overnight highs would have been virtually impossible to occur as recently as 1976.
    6. ENSO ruled out: The El Niño Southern Oscillation phase played no role in driving the heat during this spell.

    Why has climate attribution science become central to fixing responsibility for extreme weather events?

    1. Definition: Climate attribution is the scientific discipline that determines how much human-caused global warming influences the probability and intensity of specific extreme weather events. It quantifies how much worse or more likely a particular flood, heatwave, or drought has become compared to a hypothetical world without human-driven emissions
    2. Function: Attribution science tests the likelihood of a specific extreme weather event occurring if climate change were not taking place.
    3. Recency: The discipline has developed only over the last two decades.
    4. Speed gain: Assessments earlier took months or years; WWA’s methods now produce findings within days, even while an event is still ongoing.
    5. Purpose: The science removes ambiguity and fixes the exact extent of climate change’s responsibility for an event.
    6. Scientific caution without it: Scientists are otherwise wary of linking any individual extreme weather event to climate change without a dedicated attribution study.
    7. Policy intent: Beyond generating evidence, attribution studies are designed to force policymakers to act faster on climate change.

    Does scientific certainty on climate attribution translate into proportionate political action?

    1. Evidence-action gap: Scientific evidence on climate change is already voluminous and compelling, yet climate change has dropped down the list of global priorities.
    2. Political trigger: The decline has sharpened particularly after Donald Trump took office as US President.
    3. Forum evidence: Recent G7 meetings have carried little or no climate-related agenda or outcomes.
    4. Reversal of salience: Climate change was earlier among the most prominent items at international meetings involving influential leaders; this prominence has receded.
    5. Target abandonment: Scientists maintain the Paris Agreement targets of containing global temperature rise within 1.5°C to 2°C remain achievable, but governments treat them as effectively out of reach.
    6. Reframing of feasibility: Governments are treating the required resource mobilisation as politically impractical rather than scientifically unattainable.

    What risk does the global shift from mitigation to adaptation pose?

    1. Strategic shift: Countries are increasingly choosing to let climate change play out and to adapt to its impacts rather than prevent it.
    2. Scientific objection: Scientists routinely warn against adaptation as a substitute for mitigation.
    3. Inherent limits: Adaptation has limits beyond which impacts cannot be absorbed.
    4. Trend trajectory: Events such as the European heatwave are projected to increase in both frequency and intensity over coming years.
    5. Displacement, not resolution: The shift to adaptation transfers the climate risk from prevention to adaptation capacity rather than resolving it.

    Conclusion

    Climate attribution science has removed the scientific ambiguity once used to avoid linking individual extreme weather events to climate change. The European heatwave attribution exposes a widening gap between scientific certainty and political will, as global climate governance deprioritises mitigation. Countries are substituting adaptation for prevention despite scientists’ warnings that adaptation carries inherent limits. Closing this evidence-action gap is now central to achieving the Paris Agreement targets.

    PYQ Relevance

    [UPSC 2017] ‘Climate Change’ is a global problem. How India will be affected by climate change? How Himalayan and coastal states of India will be affected by climate change?

    Linkage: The PYQ xamines the impacts of climate change and the need for mitigation and adaptation strategies. The article uses the European heatwave as scientific evidence that climate change is intensifying extreme weather events and highlights the growing gap between climate science and political action.