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	<title>Himalayan glacier contribution to regional hydrology &#8211; Science</title>
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	<title>Himalayan glacier contribution to regional hydrology &#8211; Science</title>
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		<title>Himalayan Glaciers Are Melting at Wildly Different Speeds, Decades of Data Reveal</title>
		<link>https://scienmag.com/himalayan-glaciers-are-melting-at-wildly-different-speeds-decades-of-data-reveal/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Sat, 03 Oct 2026 21:48:04 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[climate change]]></category>
		<category><![CDATA[climate change impact on Himalayan glaciers]]></category>
		<category><![CDATA[cryosphere]]></category>
		<category><![CDATA[decadal glacier change in Himalayan region]]></category>
		<category><![CDATA[effects of glacier retreat on water security]]></category>
		<category><![CDATA[equilibrium line altitude]]></category>
		<category><![CDATA[Ganga basin]]></category>
		<category><![CDATA[glacial lakes]]></category>
		<category><![CDATA[glacier front retreat analysis]]></category>
		<category><![CDATA[glacier mass balance in South Asia]]></category>
		<category><![CDATA[glacier retreat]]></category>
		<category><![CDATA[Himalayan glacier contribution to regional hydrology]]></category>
		<category><![CDATA[Himalayan glacier equilibrium line altitude trends]]></category>
		<category><![CDATA[Himalayan glacier melting variability]]></category>
		<category><![CDATA[Himalayan glaciers]]></category>
		<category><![CDATA[impact of glacier melt on Indus-Ganga-Brahmaputra rivers]]></category>
		<category><![CDATA[Indian Central Himalaya glacier retreat rates]]></category>
		<category><![CDATA[mass balance]]></category>
		<category><![CDATA[remote sensing]]></category>
		<category><![CDATA[satellite imagery]]></category>
		<category><![CDATA[satellite observations of Himalayan glaciers]]></category>
		<category><![CDATA[spatial variability of Himalayan glacier melting]]></category>
		<category><![CDATA[supraglacial debris]]></category>
		<category><![CDATA[Uttarakhand]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=232170</guid>

					<description><![CDATA[A systematic review of fifty studies shows glaciers across Uttarakhand retreating at rates from under 4 to 88 meters per year, with debris cover, geometry and a post-2000 climate shift shaping each ice mass's fate.]]></description>
										<content:encoded><![CDATA[<p>High in the Indian Central Himalaya, the ice is not simply disappearing — it is vanishing at dramatically different speeds depending on where you look. A sweeping new review published in Discover Geoscience has compiled decades of field surveys and satellite observations from Uttarakhand State, and the picture that emerges is one of profound spatial chaos: some glaciers are retreating by just a few meters each year, while others are losing more than 80 meters of ice front annually. The synthesis, led by Jyoti Kumari of UPES Dehradun together with colleagues at the Wadia Institute of Himalayan Geology, represents the first systematic effort to bring together multi-decadal records of glacier length change, frontal retreat, mass balance and equilibrium line altitude across this critical mountain region.</p>
<p>The stakes could hardly be higher. The glaciers of the Indian Central Himalaya feed the headwaters of the Indus, Ganga and Brahmaputra river systems, which sustain hundreds of millions of people across South Asia. Glacier meltwater acts as a seasonal buffer for river flow, releasing stored ice during dry summer months when downstream demand peaks. As the ice reservoirs shrink, that buffering capacity erodes, threatening both water security and agricultural stability. At the same time, deglaciation is spawning new hazards: the review documents the proliferation of glacial lakes, including roughly 47 lakes that have formed in front of the retreating Milam Glacier, raising the specter of glacial lake outburst floods, debris flows and ice avalanches in densely populated valleys below.</p>
<p>To build their synthesis, the researchers applied the PRISMA framework, a structured protocol for systematic reviews. Starting from 3,412 records identified in the ScienceDirect and Springer Nature databases, they screened out duplicates, non-English publications and studies lacking quantitative recession data, ultimately retaining 50 peer-reviewed studies published between 1990 and 2024. The team standardized the extracted measurements — frontal retreat rates in meters per year, mass balance in meters of water equivalent, and equilibrium line altitudes in meters above sea level — so that figures from different studies, sensors and observation periods could be compared directly. They also catalogued the sources of uncertainty, from differences in satellite spatial resolution and georeferencing errors to inconsistencies in how glacier boundaries were delineated in the field versus from orbit.</p>
<p>The headline numbers are striking. Across 23 glaciers with compiled retreat records, the mean frontal retreat rate is 23.23 meters per year, but the spread is enormous: from roughly 3.7 meters per year at the relatively stable Bhagirathi Kharak Glacier to a staggering 88 meters per year at Khatling Glacier, which has lost more than 4,000 meters of length since 1965. Approximately 56 percent of the glaciers examined show moderate retreat of 10 to 30 meters per year, while 26 percent are retreating faster than 30 meters per year. Lake-terminating glaciers retreat significantly faster, averaging about 34.9 meters per year, compared with 22.5 meters per year for land-terminating ones — clear evidence that calving and water-ice thermal erosion accelerate ice loss where glaciers end in proglacial lakes.</p>
<p>Individual glacier case studies illustrate the complexity. The Milam Glacier in the Kumaon sector receded by an average of 480 meters in a single decade between 2004 and 2014, its snout retreating so rapidly that the frontal area shrank and the glacier became detached from a tributary. The Kafni Glacier lost 1,057 meters of length between 1972 and 2018, an average of nearly 23 meters per year. The Gangotri Glacier, one of the most closely watched ice masses in the region, shows surface velocities ranging from about 25 to 29 meters per year near the snout to as much as 70 meters per year in its interior, indicating that the lower tongue is being drawn downslope and consumed faster than the upper reaches. Meanwhile, the Satopanth Glacier has retreated at a comparatively sedate 2.9 to 8.5 meters per year, depending on the period and method of measurement.</p>
<p>Why such divergence under a shared regional climate? The answer, the review argues, lies in what glaciologists call morphometric controls — the physical characteristics of each glacier itself. Supraglacial debris cover emerges as the single most important protective factor: a thick blanket of rock and sediment insulates the ice beneath, slowing surface melt. The Satopanth Glacier, with roughly 32 percent of its surface mantled in debris and a favorable northeast orientation, shows a mass balance deficit of only about minus 0.28 meters of water equivalent per year, whereas the steep, nearly debris-free Khatling Glacier loses about minus 0.62 meters per year. Quantitatively, recent geodetic work suggests that a 10 percent increase in debris cover can buffer mass loss by approximately 0.36 meters of water equivalent annually, while a 10 percent increase in slope corresponds to roughly 0.86 meters of additional loss.</p>
<p>Glacier geometry matters too. The review highlights a &#8216;shape index&#8217; — the ratio of glacier length to width — as a predictor of resilience. Elongated valley glaciers such as Gangotri, with a shape index of 4.8, maintain stronger ice flux from accumulation zones to ablation zones and greater structural integrity, while small, roughly circular glaciers like Chorabari, with a shape index of 1.9, have high perimeter-to-area ratios and are far more vulnerable to rapid thermal breakdown. Aspect plays a role as well: south-facing glaciers, which receive more solar radiation, have shrunk by about 18 percent, considerably more than their north-facing counterparts. Local topography, morphology and ice velocity together explain up to 46 percent of the variation in glacier response — a reminder that climate sets the direction of change but terrain sets its pace.</p>
<p>The climatic backdrop itself has shifted. Analysis of meteorological data from 1980 to 2023, drawing on CHIRPS precipitation and reanalysis temperature products, reveals a transition around the year 2000. The preceding two decades were characterized by a &#8216;warming and drying&#8217; trend, with precipitation declining at about 21 millimeters per year and temperatures rising at 0.047 degrees Celsius per year. After 2000, precipitation increased at roughly 32 millimeters per year while temperature rise nearly flattened. This shift toward a warmer-but-wetter regime helps explain why retreat rates of some eastern glaciers, such as Pindari and Milam, slowed somewhat after 2010, as increased snowfall partially buffered mass losses. Yet the same humidity and meltwater ponding raises the risk of glacial lake expansion and outburst floods, and the snowline has climbed roughly 100 meters since 1994, fragmenting large stable ice bodies into smaller, more fragile pieces — the glacier count in the Alaknanda Basin has jumped about 26 percent through this breakup process.</p>
<p>The mass balance ledger is grimly consistent. In the Upper Ganges basin, eight glaciers showed cumulative mass losses between minus 0.15 and minus 5.04 gigatonnes between 2000 and 2014, a weighted average of minus 0.61 meters of water equivalent per year, equivalent to 16 gigatonnes of lost freshwater storage. Thinning rates in the Garhwal Himalaya quadrupled, from 0.07 meters per year between 2000 and 2015 to 0.31 meters per year between 2015 and 2020, and the equilibrium line altitude at Nanda Devi rose by nearly 500 meters between 1980 and 2017. The review&#8217;s authors warn that cumulative glacier length in the region could shrink by around 40 percent by 2050, a prospect with profound implications for the roughly 800 million people dependent on the Ganga basin. They call for expanded mass balance monitoring, better estimates of ice thickness and volume, and tighter integration of field surveys with optical and radar satellite data, unmanned aerial vehicles and digital elevation models. Only about eleven of the roughly 10,000 glaciers in the Indian Himalaya have been studied in detail for mass balance — a gap that, as this synthesis makes clear, the region can no longer afford.</p>
<p><strong>Subject of Research:</strong> Multi-decadal glacier recession, mass balance and equilibrium line altitude changes in the Indian Central Himalaya</p>
<p><strong>Article Title:</strong> Time dependent assessment of glacier recession in the Indian Central Himalaya</p>
<p><strong>Article References:</strong> Kumari, J., Kothyari, G. C., Patidar, A. K., &amp; Mehta, M. (2026). Time dependent assessment of glacier recession in the Indian Central Himalaya. <em>Discover Geoscience, 4</em>(1), Article 357. <a href="https://doi.org/10.1007/s44288-026-00720-1" rel="noopener noreferrer">https://doi.org/10.1007/s44288-026-00720-1</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44288-026-00720-1" rel="noopener noreferrer">10.1007/s44288-026-00720-1</a></p>
<p><strong>Keywords:</strong> Himalayan glaciers, glacier retreat, mass balance, equilibrium line altitude, Uttarakhand, climate change, remote sensing, supraglacial debris, glacial lakes, Ganga basin, cryosphere, satellite imagery</p>
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