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Subject: “Cryosphere,Glacier Melting”

  • Why risk-monitoring in the Himalayas is like looking for ‘needles in haystacks’

    Why risk-monitoring in the Himalayas is like looking for ‘needles in haystacks’

    Why in the News

    A Senior Fellow of the Energy, Water and Sustainability Program at the Stimson Center, a US based non-profit think tank, has set out the sequence of the recent Nepal flood and the lessons it holds for hazard monitoring across the Himalayas.

    What triggered the Nepal flood, and why is the trigger still uncertain?

    1. A glacial detachment carrying bedrock: The present consensus is that the initial trigger was a glacial detachment that included bedrock on the northern slopes of Langtang Lirung, a 7,000-plus-metre peak in the Langtang range.
    2. The triggering process is not understood: The failure could be related to climate-related risks or to gradual shifts at the site itself.
    3. A slow creep, then a tipping point: Preliminary analysis indicates minor movement of the glacial mass in the weeks or months before the event, followed by a tipping point.

    How did a single glacial failure cascade more than 100 kilometres downstream?

    1. The descent: The failed mass swept down a gully toward the Lhende River, which reaches the Chinese border. The source area was around 5,200 metres, so the flow descended a couple of thousand metres.
    2. A temporary natural dam: The flow deposited a mixture of ice, rock and sediment that blocked the river.
    3. Three contested water sources: Debate continues on how much water came from the glacier itself, from melting of entrained ice, and from water that accumulated behind the landslide dam.
    4. Nine minutes to the border: The dam failed and sent a major pulse of water downstream, which reached the China border in roughly nine minutes. Footage from the Gyirong border facility shows a massive dark wave carrying a large volume of material, not just water.
    5. Back into Nepal within seconds: The border facility sat at a confluence with the Gyirong River tributary, and within seconds of hitting it the flow was already moving back into Nepal. There was no realistic opportunity to warn communities downstream, and many of those who could have generated an alert were themselves swept away.
    6. Dams, hydropower and villages: The flow destroyed dams and hydropower projects downstream, recruited additional sediment, and swept through villages along the river corridor.
    7. Beyond every mapped floodplain: The event continued into Nuwakot district and affected larger market towns in the floodplain, in areas well beyond the 100-year or 500-year floodplain (the extent a flood of that average recurrence interval is expected to reach). This was a thousand-year-plus flood event.
    8. Registered at the India-Nepal border: Significant impacts extended more than 100 kilometres downstream, and the flood pulse also registered at the India-Nepal border.

    Why are cascading hazard chains the larger Himalayan problem?

    1. A pattern across three countries: The same chain has appeared in Chamoli, in Sikkim with the South Lhonak GLOF (glacial lake outburst flood), and in Nepal with the Melamchi disaster.
    2. Climate risk as an amplifier: Climate risks are interacting with and amplifying other disaster risks, and these events are becoming more frequent and more intense.

    Why does hazard monitoring keep missing the sites that fail?

    1. Known high-risk sites exist, and this was not one: Several places around Nepal have been identified as high-risk areas for glacial detachment and surges, and glaciers immediately on the other side of Langtang Lirung are high-priority research sites. This particular location had no red flags.
    2. Hindsight still needs a target: Analysts are examining whether changes could have been detected in the days before the event, but that would still require knowing where to look.
    3. No signal to separate from noise: Monitoring every glacier and every mountainside that could collapse is not feasible without some signal that narrows the search.
    4. Satellites answer only the question they were pointed at: Remote sensing and satellite-based analysis are important, but different satellite tools answer different questions, and each needs a target. Engaging local communities is how the target is found.
    5. Almost every event came from an unknown place: Of over a dozen extreme events in the Himalayas over 10 years, almost all came from unknown places, the South Lhonak GLOF being the one known risk.
    6. No borrowed training data: Patterns are beginning to emerge, but no training dataset from the Alps or Norway can simply be transferred to the Himalayas, which have their own context and significant data scarcity and data sparsity.

    What monitoring triangle does the interview propose for India, Nepal and the Himalayas?

    1. Mapping is the baseline: The mapping exercise undertaken by India’s Home Ministry and space agencies to monitor glacial lakes and hazards is an absolute necessity. Nepal does not have the same level of resources. Some mapping has been done there, and it is not as comprehensive.
    2. Maps enable zoning; monitoring is the key: Once maps exist, hazard zoning and modelling can begin, but detection depends on continuous monitoring.
    3. Corner one, remote sensing: Remote sensing and satellite imagery form one part of the triangle.
    4. Corner two, fixed station networks: Hydromet (hydrological and meteorological) and seismic stations form the second.
    5. Corner three, localised monitoring through local government: Local governments, disaster managers and Community Disaster Management Committees can collect local data, report landslides and monitor impacts after storms.
    6. Localised monitoring through people immersed in the terrain: Yak herders and fishermen notice changes in rivers, glaciers and glacial lakes. Oral histories with elders reveal smaller avalanches, glacial-lake floods and other events that science has not recorded, helping identify potential hotspots.
    7. The combination is the detector: Combining the station network, remote sensing and localised monitoring gives a better chance of detecting changes and distinguishing the signal from the noise that tells you where to look.

    Challenges to Himalayan hazard monitoring

    1. Hydropower sited in hazard corridors without upstream sensing: Projects sit in narrow gorges below unstable ice and rock with no instrument between the source and the intake. Eg. The February 2021 Chamoli rock and ice avalanche from Ronti peak destroyed the Rishiganga and Tapovan-Vishnugad projects with no upstream warning.
      The Fix: Make a hazard chain assessment and ridge line sensors with satellite telemetry a condition of clearance for every Himalayan hydropower project.
    2. Instruments die with the event they are meant to detect: A sensor placed at the lake or in the channel is destroyed by the first surge and reports nothing. Eg. Monitoring equipment installed at South Lhonak lake in September 2023 was washed away in the October 2023 outburst that also breached the Teesta III dam at Chungthang.
      The Fix: Place redundant stations on high ground and at staggered distances downstream so at least one survives to trigger sirens.
    3. Cross-border flows carry no shared alert: The upstream country holds the first minutes of warning and no protocol obliges it to pass them on. Eg. India’s hydrological data sharing arrangement with China on the Brahmaputra lapsed in 2023.
      The Fix: Adopt a Hindu Kush Himalaya alert protocol through the International Centre for Integrated Mountain Development (ICIMOD) that pushes automatic upstream alerts to downstream disaster authorities within minutes.
    4. Warnings that never reach the last mile: A satellite detection is useless to a village asleep in a gorge with no siren and no signal. Eg. The Sikkim outburst struck after 10 pm on 3 October 2023 and reached the Teesta valley settlements in the dark.
      The Fix: Pair the National Disaster Management Authority’s Common Alerting Protocol based cell broadcast with battery-backed community sirens in every mapped downstream settlement.

    Conclusion

    India has the baseline map; Nepal has part of one. Neither has the monitoring triangle that turns a map into a warning. The unresolved gap is that detection still depends on knowing where to look, and the herders, fishermen and village committees who hold that knowledge are not yet wired into any station network. The test of the next monsoon is whether a single high mountain site with no red flag gets watched because a community reported it first.

    Back2Basics

    1. What it is: A sudden release of water from a lake formed by melting glaciers, held back by a natural dam of loose moraine debris or ice rather than bedrock.
    2. How it starts: An avalanche, rockfall or ice calving into the lake sends a displacement wave over the dam, or seepage erodes the moraine from within until it collapses.
    3. Why it is deadlier than a rain flood: The surge carries rock and sediment, arrives with minutes of warning, and can breach infrastructure far below the lake.
    4. India’s framework: The National Disaster Management Authority issued dedicated guidelines on GLOF and Landslide Lake Outburst Flood management in 2020.

    [2021, GS1, 15 marks] How does the melting of the Arctic ice and glaciers of the Antarctic differently affect the weather patterns and human activities on the Earth? Explain. (250 words)

  • Ladakh’s glaciers are slowing as the mountains warm

    Why in the News?

    A new study in the journal The Cryosphere reports that glaciers in the Zanskar region of Ladakh are moving more slowly than they did 30 years ago, as sustained warming thins them and reduces their driving force. The slowdown carries long term implications for the Indus basin, where glacier melt sustains river flows during dry summer months.

    Why are the Zanskar glaciers slowing down?

    1. Thinning mechanism: When a glacier loses more ice than it gains over many years it becomes thinner, and thinner ice exerts less driving force, causing it to flow more slowly.
    2. Warming link: The study connects mass loss, thinning and reduced flow, showing that thinning is not only a consequence of warming but also weakens the glacier’s ability to move.
    3. Downstream effect: Slower flow means the lower parts of a glacier receive less replenishment from higher elevations, making continued shrinkage more likely.
    4. Local variation: Glacier geometry, debris cover and conditions at the snout influence how quickly each glacier responds.

    What is peak water?

    1. Definition: Peak water is the point at which increased melting from a shrinking glacier temporarily raises river runoff before the water supply begins to decline.
    2. Why it matters: More melting may boost flows in the near term, but once glaciers lose a substantial fraction of their stored ice, their meltwater contribution to rivers is expected to drop.

    What did the study find?

    1. Study design: The researchers examined how glacier flow changed from 1992 to 2023 across 12 glaciers in the Zanskar Himalaya using satellite derived surface velocities.
    2. Velocity decline: Glaciers slowed by 2.4 metres per year per decade on average.
    3. Faster thinning: The pace of surface thinning increased from around 0.22 metres per year between 2000 and 2005 to around 0.57 metres per year between 2015 and 2020.
    4. Sample caveat: The 12 glaciers studied are representative, but the Zanskar basin hosts around 1,755 glaciers, so caution is needed before extending the findings to all of Ladakh.

    What are the implications for the Indus basin?

    1. Summer flows: Glacier melt contributes significantly to Indus river flows during the dry summer months, so long term storage decline threatens that supply.
    2. Multiple dependencies: River flows also depend on snowfall, rainfall, groundwater and water management, so slowing glaciers alone will not immediately cause shortages.
    3. Sectors at risk: Continued thinning and slowdown signal declining long term water storage, with implications for water security, agriculture, hydropower and downstream ecosystems in coming decades.

    Why do the study’s own limitations qualify its conclusions?

    1. Sub surface blind spot: Satellite surface velocity observations cannot directly reveal processes beneath the glacier, such as subglacial hydrology or basal sliding, which strongly influence motion.
    2. Data gaps: Long term field measurements of ice thickness, mass balance and bed conditions remain limited in the region, making full attribution of observed changes difficult.
    3. Exceptions to the trend: Some glaciers can temporarily accelerate due to increased meltwater at the bed, glacier surges, or interactions with proglacial lakes.

    What does the global comparison show?

    1. European Alps and Alaska: Similar glacier slowdowns have been reported, driven by the same thinning and reduced driving stress mechanism.
    2. Canadian Arctic and Andes: These regions show comparable slowdowns linked to warming.
    3. Tibetan plateau: Parts of the plateau display the same dominant mechanism of thinning leading to slower flow.
    4. Shared lesson: Glacier slowdown is becoming widespread globally, though local glacier characteristics still shape individual behaviour.

    Conclusion

    The study establishes that Zanskar glaciers are not only losing mass but slowing down, with thinning reducing their capacity to move and replenish lower reaches. This points to a long term decline in stored water that will eventually reduce Indus basin flows after a phase of peak water. The findings underscore the need for sustained ground based monitoring to validate satellite data and to prepare downstream communities for shifting water availability.

    Back2Basics:

    Foundational Context: The Cryosphere and Himalayan Glaciers

    1. About: The cryosphere comprises the frozen parts of the Earth, including glaciers, snow cover, permafrost and ice, that store and release freshwater.
    2. Third Pole: The Hindu Kush Himalaya holds the largest ice mass outside the polar regions and is often called the Third Pole.
    3. Function: Himalayan glaciers act as natural reservoirs, releasing meltwater in warmer months to sustain rivers, agriculture and ecosystems in otherwise arid areas.
    4. Climate indicator: High altitude glaciers respond distinctly to warming, making them valuable natural indicators of environmental change.

    The Zanskar Region and Indus Basin

    1. Location: The Zanskar region lies in Ladakh and hosts some of the largest and most extensive glaciers in the Himalaya.
    2. Climatic setting: Its glaciers receive most of their snowfall from mid latitude westerly disturbances during winter and sit at high altitude.
    3. Indus basin: The Indus rises in the Tibetan plateau and flows through Ladakh, with glacier melt feeding its dry season flows.
    4. Significance: The basin supports water security, agriculture and hydropower across northern India and beyond.

    Key Facts about Himalayan Glacier Monitoring

    1. Study journal: The findings appear in the journal The Cryosphere.
    2. Zanskar glacier count: The basin hosts around 1,755 glaciers, of which 12 were studied.
    3. Observation record: The study covers more than 30 years, from 1992 to 2023.
    4. Peak water: A key concept describing the temporary runoff increase before long term decline.

    Challenges in Glacier Conservation and Monitoring

    1. Data scarcity: Long term field measurements of ice thickness and mass balance are limited in high altitude terrain.
    2. Warming pace: Rising temperatures accelerate thinning and mass loss.
    3. Black carbon: Soot deposition on ice lowers reflectivity and speeds melting.
    4. Glacial lake hazards: Meltwater expansion raises the risk of glacial lake outburst floods.
    5. Downstream dependence: Millions rely on glacier fed rivers, amplifying the impact of any decline.

    Way Forward

    1. Expand ground monitoring: Add measurements of ice thickness, mass balance and meltwater discharge to validate satellite data.
    2. High altitude weather stations: Install continuous observation stations to capture varied mountain climate conditions.
    3. Basin water planning: Prepare Indus basin water management for the eventual decline after peak water.
    4. Reduce black carbon: Cut regional emissions that hasten glacier melt.
    5. Regional cooperation: Share transboundary glacier and river data across the basin.

    PYQ Relevance

    [UPSC 2020] How will the melting of Himalayan glaciers have a far-reaching impact on the water resources of India?

    Linkage: The PYQ directly relates to the impact of Himalayan glacier melt on India’s water resources. Zanskar glacier slowdown and thinning highlight the emerging risks to Indus basin flows, water security and long-term freshwater availability.

  • How will the melting of Himalayan glaciers have a far-reaching impact on the water resources of India? (हिमालय के हिमनदों के पिघलने का भारत के जल-संसाधनों पर किस प्रकार दूरगामी प्रभाव होगा ?)

    The Himalayan glaciers are termed as the “Water Towers of Asia.” However, as per UN report, these glaciers have lost approximately 30% of their mass since 1970.

    Short-Term Impacts of Himalayan Glacier Melting

    Accelerated glacier melting temporarily increases river flow. Eg- Enhanced summer discharge observed in Indus basin rivers dependent on glacial melt.

    Glacier lake areas expanded by over 22% between 2011 and 2025, raising severe GLOF risks.

    Chamoli disaster in Uttarakhand

    South Lhonak Lake outburst in Sikkim (2023)

    Melting glaciers release sediments affecting river morphology. Eg- Increased sediment deposition in upper Ganga and Brahmaputra tributaries.

    Over 33% of India’s hydropower is currently at risk from cascading “cryospheric” disasters. Eg- Tapovan-Vishnugad hydropower project in Uttarakhand damaged during the Chamoli disaster.

    Micro-climate Shifts-The loss of white ice (albedo) leads to more heat absorption, creating “heat islands” even at high altitudes.

    Long-Term Impacts

    Most Himalayan basins are expected to pass “Peak Water” by 2030-2050, after which river flows will permanently decline. Eg- Ganga and Yamuna may eventually become “seasonal”.

    Groundwater Depletion-As surface water vanishes, farmers will over-extract aquifers, accelerating the “Water Bankruptcy” of the Indo-Gangetic plain.

    Water Quality Crisis-Lower river volumes reduce the “self-purification” capacity, concentrating pollutants like Arsenic and Fluoride.

    Groundwater Recharge Reduction – Lower river flows reduce recharge in alluvial aquifers.

    Urban Water Supply Stress – Eg- Cities like Delhi depend heavily on Yamuna and Ganga river systems.

    Ecosystem Degradation – Altered flow regimes threaten aquatic biodiversity. Eg- Habitat of the Ganges river dolphin depends on stable river flow.

    Scarcity may intensify interstate and transboundary disputes. Eg- Indus water treaty dispute with Pakistan

    Reduced freshwater inflow affects sediment transport and delta stability. Eg- accelerating erosion in the Ganga-Brahmaputra delta.

    Glaciers act as natural reservoirs stabilizing river flows. Loss of glaciers makes river systems more dependent on erratic monsoon rainfall.

    Way Forward

    Deploying Glacial Lake Early Warning Systems using automated radar and satellite sensors at high-risk sites.

    Springshed Management-Rejuvenating “Dharas” (mountain springs) to provide alternative water sources as glaciers retreat.

    Artificial Glaciers-Scaling the “Ice Stupa” model to store winter meltwater for spring irrigation in arid high-altitude regions.

    Climate-Resilient Infrastructure-Mandating “Cryosphere Impact Assessments” for all new dams and highways in the Himalayas.

    Ecosystem-Based Adaptation – Protect Himalayan forests and wetlands that regulate water flows.

    A strategy combining climate mitigation, scientific monitoring and sustainable water management is essential to safeguard the vital water resources originating in the Himalayas.