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GS Paper: GS1

  • 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

  • What India’s Young People Are Saying About Families

    Why in the News

    UNFPA’s Demographic Futures Survey, released on World Population Day 2026 and covering over 1,08,000 young adults across 73 countries, finds India’s fertility rate has settled at two children per woman, below the replacement level of 2.1. The finding exposes a gap between how policymakers read this number, as either alarming decline or policy success, and what young Indians themselves report about wanting families but facing specific obstacles.

    Is India’s below replacement fertility a crisis to fear or an achievement to credit?

    1. The number: India’s total fertility rate has settled at two children per woman, below the replacement level of 2.1.
    2. Alarmist reading: Some describe this as a “baby bust” or “population crisis.”
    3. UNFPA’s reading: The agency frames it as the outcome of sustained government investment in girls’ education, the National Health Mission, and expanded contraceptive and maternal health choice.
    4. Supporting indicator: The share of young women married before age 18 fell from 23.3% to 20.1% in recent years.
    5. Caution: Stopping at the achievement reading risks missing what young people are actually saying about the conditions they face.

    What specifically is stopping young Indians who want children from having them?

    1. Stated preference intact: Four in 10 women and a third of men say two children is their ideal family size, matching the same global pattern found across the 73 country survey.
    2. Money first: Financial constraint is the most cited barrier, named by nearly four in 10 respondents.
    3. Housing second: Housing availability and affordability is the next most cited constraint.
    4. Job security third: Stable employment ranks third among stated barriers.
    5. Care capacity fourth: The ability to adequately care for children is the fourth concern raised.

    Why does the care worry fall on women rather than being shared within the family?

    1. Time use gap: Young Indian women spend over five hours a day on unpaid housework and caregiving, against about half an hour for young men.
    2. Workforce gap: Only 15 of every 100 young women are in paid work, compared with 55 of every 100 young men.
    3. Consequence: This asymmetry forces many capable women into a career versus family trade off that men do not face in the same way.

    Does climate anxiety add a distinctly new pressure beyond economic insecurity?

    1. Near universal disruption: Nearly all surveyed young people say climate change is disrupting their lives.
    2. Mental health toll: About half say climate change affects their peace of mind.
    3. Compounded worry: Nearly half of young Indians report being very worried about conflict, economic insecurity and environmental risk simultaneously, among the higher rates recorded in the survey.
    4. Reframing: Combined with high youth unemployment and an emerging mental health conversation, this points to a generation questioning whether conditions are stable enough to build a family on.

    Why can’t a single national policy fit India’s fertility realities?

    1. Wide range: Bihar’s fertility rate stands at 2.7, against Sikkim’s 1.0.
    2. Regional pattern: Kerala, Delhi and Tamil Nadu have long settled below replacement level, while Bihar, Uttar Pradesh and Jharkhand are still catching up.
    3. Implication: India’s demographic transition is proceeding at different speeds across States, requiring State differentiated rather than uniform national responses.

    What would translate these stated needs into policy support?

    1. Childcare access: High quality, affordable and accessible childcare is identified as a priority.
    2. Shared caregiving: Policy should promote families sharing caregiving more equally.
    3. Stable work: Continued investment in stable, dignified work for young people entering the labour force.
    4. Mental health: Greater attention to youth mental health, including climate anxiety, within family planning conversations.
    5. Private sector role: Parental leave, flexible work arrangements and family friendly workplaces are identified as necessary complements to state policy.
    6. Stakes: India’s 255 million people aged 15 to 24 represent its demographic dividend.
      • Note: Demographic Dividend: The growth potential arising from a large working age population relative to dependents, creating an opportunity for faster economic growth.

    Conclusion

    Young Indians have not turned away from family life; survey evidence shows they still want roughly two children on average, but face a gap between that aspiration and stated preconditions of money, housing, job security, care capacity, and now climate anxiety. Realising India’s demographic dividend depends on closing this gap, particularly the unequal care burden carried by women, rather than treating below replacement fertility itself as the problem.

    Question (2023, GS1): Do you think marriage as a sacrament is losing its value in Modern India?

  • Landslides: The Need for Early Warning Systems

    Why in the News?

    Recent landslides across the Western Ghats and other parts of India have revived the debate on installing early warning systems (EWS) for landslides. The renewed discussion exposes a gap between what landslide-prediction technology has already proven capable of and the absence of any single, scaled system deploying it nationally.

    Why has landslide prediction returned to the policy conversation, and does the science actually work?

    1. Trigger: Recent landslides in the Western Ghats and other parts of India reignited discussion on installing EWS for such events.
    2. Proven feasibility: Landslides can be predicted in high-risk zones. The 2024 Wayanad landslide killed more than 300 people, illustrating the human cost when prediction is absent.
    3. Working precedent: Two weeks before the Wayanad disaster, landslides in Munnar caused no fatalities. The Idukki district administration evacuated residents on the advice of an Amrita University research team, led by Maneesha Vinodini Ramesh, that was testing an EWS.
    4. Global validation: EWS already operates effectively in multiple countries, establishing that the underlying approach is proven rather than experimental.

    What are the two competing methodologies India is currently developing for landslide early warning?

    1. Amrita University approach: Deploys a network of on-site sensors, tilt meters, pressure gauges, accelerometers, at high-risk slopes to measure vibration and ground movement.
    2. Threshold-based alerts: When sensor readings cross well-defined thresholds, an automated warning is issued, allowing the administration to act.
    3. IIT Mandi approach: Professor Dericks Praise Shukla’s team uses probabilistic forecasting instead of physical sensors, currently being validated against ongoing landslide events in the Himalayan region.
    4. Satellite-based mapping: The IIT Mandi team has mapped vulnerable spots across the Himalayan region using a satellite-based database of past landslide events.
    5. Multi-factor modelling: The probabilistic model factors in localised rainfall forecasts along with soil conditions, rock stability, extent of slope, and population density.

    Why does neither current methodology, on its own, deliver a complete early warning solution?

    1. Sensor method’s blind spot: Amrita’s sensor network reports data only for the specific slope where instruments are installed. Neighbouring slopes remain unmonitored, even though landslides are highly localised events.
    2. Rainfall model’s lead-time constraint: Shukla’s probabilistic model depends on rainfall forecasts, but highly localised forecasts are currently available only for the day of the event or one day earlier, giving very little lead time.
    3. Trade-off exposed: The sensor method provides adequate lead time but incomplete geographic coverage. The probabilistic method provides wider coverage but insufficient lead time.
    4. Scale limitation: Both methods remain validated only at pilot or regional scale. Neither is currently integrated into a single nationwide operational system.

    What must change before India moves from pilot-scale projects to a comprehensive national system?

    1. Precondition 1: high-risk zone identification: A comprehensive system first requires identifying high-risk areas where landslides are frequent, before sensors or models can be meaningfully deployed at scale.
    2. Risk zones already flagged: Shukla identifies the north-western Himalayan region and parts of Manipur and Mizoram as highly vulnerable. Sikkim is relatively less vulnerable due to a less dense road network, which implies greater slope stability.
    3. Precondition 2: higher-resolution rainfall forecasting: The probabilistic method’s lead-time limitation can only be resolved once the India Meteorological Department develops higher-resolution rainfall forecasts, which is currently in progress.
    4. Timeline and resourcing: A comprehensive and effective landslide EWS can be built in about two years if resources and effort are properly dedicated to it, according to Shukla.
    5. Sequencing: The stated roadmap identifies high-risk zones nationally first, and installs sensors at selected sites only afterward, mapping precedes instrumentation, not the reverse.

    Conclusion

    Landslide early warning technology is scientifically proven and has already prevented casualties in India, as seen in Munnar in 2024. No standardised national system exists, however; current efforts are split between a sensor-based method and a rainfall-probability-based method, each constrained by a different limitation, localised coverage in one case, short lead time in the other. Scaling to a comprehensive national system depends on two preconditions currently absent: systematic identification of high-risk zones across India, and higher-resolution rainfall forecasting infrastructure from the India Meteorological Department. Until both are in place, early warning capability will remain confined to isolated pilot projects rather than a nationwide shield.

    PYQ Relevance

    [UPSC 2021] Describe the various causes and the effects of landslides. Mention the important components of the National Landslide Risk Management Strategy.

    Linkage: The PYQ examines India’s institutional approach to landslide risk reduction through the National Landslide Risk Management Strategy (NLRMS) and disaster preparedness. The article directly complements this PYQ by highlighting early warning systems, sensor networks, vulnerability mapping, localized rainfall forecasting, and timely evacuation, all of which are core components of proactive landslide risk management envisaged under the NLRMS.

  • Australia Repatriates Three Antiquities to India

    Why in News?

    Australia announced the repatriation of three Chola-era antiquities stolen from temples in Tamil Nadu during Prime Minister Narendra Modi’s visit.

    Key Highlights

    • Australia will return:
      • Bronze Trident (Trishul) of Goddess Bhadrakali
      • Granite Nandi idol
      • Basalt sculpture of six-headed Karthikeya (Shanmukha)
    • The artefacts date to the 11th-12th century (Chola period).
    • They were housed in the National Gallery of Australia.

    Legal Basis

    • Repatriation is being carried out under the India-Australia Mutual Legal Assistance Treaty (MLAT).
    • Investigation by the Tamil Nadu Idol Wing CID established that the artefacts were illegally removed from temples and trafficked overseas.

    Original Temples

    • Bhadrakali Trident: Sri Kasi Viswanatha Swamy Temple, Kollumangudi, Tiruvarur.
    • Karthikeya Idol: Naganathaswamy Temple, Manambadi, Thanjavur.
    • Nandi Idol: Identified as originating from a temple in Tamil Nadu.

    [2025] Who among the following led a successful military campaign against the kingdom of Srivijaya, the powerful maritime State, which ruled the Malay Peninsula, Sumatra, Java and the neighbouring islands?

    [A] Amoghavarsha (Rashtrakuta)

    [B] Prataparudra (Kakatiya)

    [C] Rajendra 1 (Chola)

    [D] Vishnuvardhana (Hoysala)

  • Mount Marapi Eruption in Indonesia

    Why in News?

    Mount Marapi, one of Indonesia’s most active volcanoes, erupted again, sending an ash column about 2 km high into the sky over West Sumatra’s Tanah Datar District. Authorities continue to enforce a 3 km exclusion zone around the volcano.

    Note: This volcano is Mount Marapi (West Sumatra), not Mount Merapi (Central Java). They are two different active volcanoes in Indonesia.

    Key Highlights

    • The eruption produced an ash plume reaching approximately 2 km above the summit.
    • A 3 km exclusion zone remains in force following the deadly eruption in December 2023.
    • Authorities have advised residents and tourists to stay away from the crater due to the risk of further eruptions.
    • Indonesia frequently experiences volcanic eruptions because of its tectonic setting.

    About Mount Marapi

    • Located in West Sumatra Province, Indonesia.
    • Elevation: 2,891 metres.
    • It is one of the most active volcanoes in Sumatra.
    • It is a stratovolcano (composite volcano) characterized by frequent explosive eruptions.

    What is a Stratovolcano?

    • A stratovolcano is formed by alternating layers of lava, volcanic ash, and pyroclastic material.
    • It has steep slopes and is associated with explosive eruptions because of silica-rich, viscous magma.
    • Examples include Mount Fuji (Japan), Mount Merapi (Indonesia), and Mount St. Helens (USA).

    Why is Indonesia Highly Prone to Volcanic Activity?

    • Indonesia lies on the Pacific Ring of Fire, a zone of intense volcanic and seismic activity.
    • It is located at the convergence of the Indo Australian, Eurasian, Pacific, and Philippine Sea tectonic plates.
    • The country has more than 120 active volcanoes, the highest number in the world.

    Prelims Facts

    • Pacific Ring of Fire contains about 75% of the world’s active volcanoes and experiences nearly 90% of global earthquakes.
    • Volcanic hazards include ashfall, lava flows, pyroclastic flows, volcanic gases, and lahars (volcanic mudflows).

    [2024] Consider the following:
    1. Pyroclastic debris
    2. Ash and dust
    3. Nitrogen compounds
    4. Sulphur compounds
    How many of the above are products of volcanic eruptions?

    [A] Only one

    [B] Only two

    [C] Only three

    [D] All four

  • 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.

  • Venezuela Earthquake

    Why in News?

    A powerful doublet earthquake (Magnitude 7.2 followed by 7.5) struck Venezuela, killing over 188 people and injuring more than 1,500. It is the strongest earthquake to hit Venezuela in 126 years.

    Key Highlights

    • Two major earthquakes struck within one minute, making it a doublet earthquake.
    • Epicentres were located west of Caracas, near the coastal town of Morón.
    • Tremors were felt in Colombia and Brazil.
    • The earthquakes occurred at shallow depths (10 km and 22 km), resulting in severe ground shaking.
    • International humanitarian assistance was offered by India, the United States, the United Nations, China, Brazil, and others.

    Why Did the Earthquake Occur?

    • Plate Boundary: Venezuela lies along the boundary between the Caribbean Plate and the South American Plate.
    • Strike-slip Faulting: The Caribbean Plate moves eastward relative to the South American Plate, causing horizontal movement along faults.
    • Active Fault Zone: The earthquake occurred near the El Pilar Fault System, one of the most active fault systems in northern Venezuela.
    • Shallow-focus Earthquake: Shallow earthquakes release energy close to the Earth’s surface, leading to greater destruction.
    • Doublet Earthquake: Two large earthquakes occurring almost simultaneously amplify structural damage.

    Prelims Pointers

    • Earthquake: Sudden release of energy in the Earth’s crust due to movement along faults.
    • Focus (Hypocentre): Point inside the Earth where an earthquake originates.
    • Epicentre: Point on the Earth’s surface directly above the focus.
    • Shallow-focus earthquakes: Depth less than 70 km; generally cause maximum damage.
    • Strike-slip fault: Fault where two blocks move horizontally past each other.
    • Doublet earthquake: Two major earthquakes of similar magnitude occurring close together in time and location.

    [2023] Consider the following statements :
    1. In a seismograph, P waves are recorded earlier than S waves.
    2. In P waves, the individual particles vibrate to and fro in the direction of wave propagation whereas in S waves, the particles vibrate up and down at right angles to the direction of wave propagation.
    Which of the statements given above is/are correct?

    [A] 1 only

    [B] 2 only

    [C] Both 1 and 2

    [D] Neither 1 nor 2

  • In dry monsoon, a test of resilience

    Why in the News?

    India’s 2025 monsoon season is forecast to be the weakest in a decade, with 77% of the country’s land area already recording more than 20% rainfall deficit as of June 24. The season has exposed a structural tension: India’s agricultural and energy systems remain deeply dependent on monsoon rainfall. At the same time, the government’s own investments in renewables, rainwater harvesting, and rural employment infrastructure suggest the country may now be better placed to absorb the stress than in any previous deficit year.

    What Has Made the 2025 Deficit Structurally Different from Past Deficits?

    1. Scale of the deficit: As of June 24, 537 of 740 districts recorded over 20% rainfall deficit. Only eight of 36 States/UTs showed no deficiency. IMD forecast low to moderate rainfall across nearly half of India’s landmass.
    2. El Niño is not the primary cause: El Niño emerged in early June, too late to explain the June deficit because its impact on the Indian monsoon occurs with a lag. The dominant driver is the Madden Julian Oscillation (MJO).
    3. MJO as the proximate driver: A moving system of winds and clouds that alternately enhances or suppresses rainfall. In June, its rain-suppressing phase remained over India, with a shift expected in early July.
    4. June is ordinarily a high-rainfall month: IMD had forecast at least 92% of the Long Period Average (LPA) rainfall for June. The actual deficit of over 40% marks a significant departure from expectations.
    5. The La Niña lag: La Niña’s favourable impact on the Indian monsoon also occurs with a lag and was unlikely to influence June rainfall. This raises the possibility of a drier-than-expected monsoon season.

    What Is the Nature of India’s Dependence on the Monsoon and What Has Reduced It?

    1. The baseline dependence: The southwest monsoon provides nearly 75% of India’s annual rainfall. It supports irrigation, groundwater recharge, reservoirs, hydropower, agriculture, food security, rural incomes and economic growth.
    2. Infrastructure investments over a decade: India has expanded irrigation, rainwater harvesting, water storage and conservation. Official reports also show improving groundwater levels.
    3. Renewable energy as the decisive structural shift: Solar and wind power have reduced dependence on hydropower, which relies on reservoir storage. This helps preserve water for irrigation and drinking purposes.
    4. The residual dependence: Better resilience reduces stress but does not eliminate the need for planning and policy intervention.
    5. Rural employment as a demand buffer: MGNREGS has created water conservation and storage assets while providing income support to rural households during rainfall deficits, helping stabilise rural demand.

    What Existing Strengths Make Absorption of the 2025 Deficit Possible?

    1. Major reservoirs at good storage levels: Good rainfall over the last two years has kept reservoir storage comfortable, reducing immediate pressure on irrigation, drinking water and hydropower.
    2. Improvement in groundwater situation: Better groundwater levels provide an additional irrigation source where reservoir supplies become constrained.
    3. Renewable energy reducing reservoir pressure: Expansion of solar and wind power lowers dependence on hydropower, allowing reservoirs to conserve water despite weak monsoon inflows.
    4. Pre-monsoon rainfall altering farmer behaviour: Early forecasts encouraged many farmers to sow kharif crops using pre-monsoon showers, reducing exposure to the subsequent rainfall deficit.
    5. The limits of absorption: Resilience has improved but remains incomplete, requiring continued policy intervention.

    Where Does Resilience End and Vulnerability Begin? 

    1. The central tension: India has strengthened resilience, but climate change is making monsoon deficits more frequent, prolonged and unpredictable, testing existing adaptation measures.
    2. Quantitative unpredictability now exceeds planning assumptions: Climate change is making even good monsoon years less predictable, weakening the idea of a stable “normal monsoon.” The 2025 deficit could represent a recurring pattern rather than an exception.
    3. Hydropower remains a structural vulnerability: Solar and wind reduce dependence on hydropower but cannot replace it entirely. Reservoir shortages during weak monsoons can still affect electricity generation and grid stability.
    4. Agricultural productivity remains rainfall-sensitive: Investments in water conservation reduce drought impacts but cannot fully break agriculture’s dependence on monsoon performance, leaving food security vulnerable during prolonged deficits.
    5. Rural demand suppression risk persists: Poor monsoons lower farm incomes and rural demand. MGNREGS mitigates this impact but cannot fully offset a season-long rainfall deficit.

    What Must India Do That It Has Not Yet Done?

    1. The policy direction is defined: Developing greater climate resilience remains the only long-term solution, as monsoon behaviour cannot be controlled
    2. Quantitative rainfall forecasting must improve: More accurate district-level and sub-seasonal forecasts are essential for planning crop calendars, reservoir operations and water storage.
    3. The transition from input-side to output-side resilience: Investments in storage, groundwater recharge and renewables must translate into stable farm output, rural incomes and food prices during rainfall shocks.
    4. Climate adaptation must be recalibrated to current trajectories, not historical averages: Adaptation must continuously evolve because climate conditions are changing faster than the historical benchmarks used for planning.

    Conclusion

    India’s improved groundwater levels, major reservoir storage, and renewable energy capacity mean that a decade-worst monsoon need not produce a decade-worst crisis. However, the reduction in monsoon dependence is partial. Hydropower reliance persists, agricultural productivity remains rainfall-sensitive, and climate change is making deficits more frequent, longer, and harder to predict. Resilience built for last decade’s weather is already being outpaced by this decade’s climate.

    PYQ Relevance

    [UPSC 2023] Why is the South-West monsoon called ‘Purvaiya’ (easterly) in Bhojpur Region? How has this directional seasonal wind system influenced the cultural ethos of the region?

    Linkage: The PYQ tests understanding of the South-West Monsoon and its significance. The article moves beyond monsoon mechanics to examine how changing monsoon behaviour is reshaping India’s climate resilience.

  • In many ways, Lord Dalhousie was the founder of modern India. Elaborate.

  • American Revolution was an economic revolt against mercantilism. Substantiate.