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	<title>glacier lakes &#8211; Science</title>
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	<title>glacier lakes &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Small fraction of lake, ocean and ice-shelf glaciers drives most ice loss</title>
		<link>https://scienmag.com/small-fraction-of-lake-ocean-and-ice-shelf-glaciers-drives-most-ice-loss/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Sat, 24 Oct 2026 07:28:30 +0000</pubDate>
				<category><![CDATA[Athmospheric]]></category>
		<category><![CDATA[and ice-shelf terminating glaciers]]></category>
		<category><![CDATA[calving]]></category>
		<category><![CDATA[climate change]]></category>
		<category><![CDATA[climate change impact on glacier dynamics]]></category>
		<category><![CDATA[contribution of small glacier fractions to total ice loss]]></category>
		<category><![CDATA[cryosphere]]></category>
		<category><![CDATA[effects of glacier environment on ice flow velocity]]></category>
		<category><![CDATA[glacier classification]]></category>
		<category><![CDATA[glacier classification and distribution]]></category>
		<category><![CDATA[Glacier ice loss from lake]]></category>
		<category><![CDATA[glacier lakes]]></category>
		<category><![CDATA[glacier melt contribution to sea-level rise]]></category>
		<category><![CDATA[glacier velocity]]></category>
		<category><![CDATA[glaciers]]></category>
		<category><![CDATA[global glacier mass loss]]></category>
		<category><![CDATA[global glacier monitoring and cataloging]]></category>
		<category><![CDATA[ice loss]]></category>
		<category><![CDATA[importance of glacier environment in ice loss models]]></category>
		<category><![CDATA[mass loss]]></category>
		<category><![CDATA[Nature Communications.]]></category>
		<category><![CDATA[ocean]]></category>
		<category><![CDATA[regional differences in glacier retreat]]></category>
		<category><![CDATA[sea level rise]]></category>
		<category><![CDATA[sea level rise projections]]></category>
		<category><![CDATA[terminus environments]]></category>
		<category><![CDATA[water resource impact from glacier melt]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=336831</guid>

					<description><![CDATA[Glaciers ending in lakes, oceans or ice shelves make up just 3.2% of the world's glaciers yet lost an estimated 134 billion tonnes of ice each year between 2000 and 2019, accounting for more than half of all glacier ice loss.]]></description>
										<content:encoded><![CDATA[<p>Glaciers that terminate in lakes, oceans or ice shelves make up just 3.2% of the world&#8217;s glaciers, yet they lost an estimated 134 billion tonnes of ice each year between 2000 and 2019, accounting for more than half of all glacier ice loss worldwide. That is the central finding of a new study published in Nature Communications, led by scientists from the University of Birmingham and the University of Leeds. The result highlights how unevenly glacier decline is distributed across different settings, and points to a blind spot in many of the models used to project future sea-level rise and water availability.</p>
<p>The research team catalogued 216,502 glaciers worldwide, excluding the Greenland and Antarctic ice sheets, and classified each one by the environment in which it ends: land, ocean, ice shelf or lake. Adding lake-ending glaciers to existing records of the other three types allowed the researchers to compare ice flow velocities and mass loss across all four categories on a global scale. One immediate explanation for the outsized contribution of these glaciers is their size. Glaciers ending in lakes, oceans or ice shelves tend to be much larger than those ending on land, and together they cover more than half of the world&#8217;s total glacier area.</p>
<p>For glaciers ending in lakes, however, size turned out not to be the whole story. After accounting for factors such as climate, glacier size and elevation, the analysis found that lake-ending glaciers lost around 57% more ice than land-ending glaciers relative to their size over the 2000 to 2019 period. The same comparison showed that glaciers ending in lakes flow on average 10% faster than land-ending glaciers, while ocean-ending glaciers flow 44% faster. Dr Joe Mallalieu, who conducted the research at the University of Birmingham and is now based at the University of Leeds, said the lake-ending glaciers stand out because they are losing ice particularly quickly, and that the reasons are not yet clear. He suggested it could be the lakes themselves, the size and shape of the glaciers, or a combination of both, and noted that untangling this is the next big question, especially as glacier lakes are becoming more common in a warming climate.</p>
<p>There are plausible physical mechanisms linking lakes to accelerated ice loss. Glaciers ending in lakes can shed large chunks of ice from their fronts as icebergs, a process known as calving, and lake water can also melt the ice below the waterline. Both processes can speed up the retreat and thinning of the glacier front in ways that do not occur where a glacier simply ends on dry land. The study found lake-ending glaciers in every major glacier region of the world, and in most regions they were losing ice faster than glaciers ending on land or in oceans.</p>
<p>The classification also matters because glacier terminus environments are not fixed. As the climate warms, ocean-ending glaciers are retreating onto land in parts of the Arctic, while the worldwide growth of glacier lakes is converting some land-ending glaciers into lake-ending ones. According to the study&#8217;s results, these shifts could have contrasting effects: glaciers that retreat onto land are likely to slow down, while those that newly end in lakes could lose ice faster than before. Dr Nicholas Barrand of the University of Birmingham noted that the last decade has seen a huge increase in the global glacier and climate data available to researchers, and that bringing these datasets together makes it possible to compare how glaciers in different settings behave. As more glaciers shift from one setting to another, he said, understanding those differences will only become more important. Many existing models used to project glacier change do not yet fully account for glaciers ending in lakes, and the team&#8217;s new global classification is intended to help other researchers close that gap, improving projections of sea-level rise, water resources and natural hazards.</p>
<p>The study, titled Global-scale variability of glacier velocity and mass loss across terminus environments, was published in Nature Communications on 23 October 2026. Its headline numbers, a 3.2% share of glacier count producing more than half of annual ice loss, and a 57% faster relative loss rate for lake-ending glaciers, give glaciologists a clearer map of where the planet&#8217;s most vulnerable ice sits. The findings are based on observations from 2000 to 2019 and cover all glaciers outside the two great ice sheets, so they capture the vast majority of the world&#8217;s glacier ice but not the ice losses of Greenland and Antarctica, which were outside the scope of this analysis.</p>
<p><strong>Subject of Research:</strong> Global comparison of glacier ice loss and flow speed across lake, ocean, ice-shelf and land terminus environments</p>
<p><strong>Article Title:</strong> Just 3% of the world’s glaciers account for over half of glacier ice loss</p>
<p><strong>Article References:</strong> Just 3% of the world’s glaciers account for over half of glacier ice loss. <a href="https://www.eurekalert.org/news-releases/1148536" rel="noopener noreferrer">Original publication</a> (Bibliographic details unavailable.)</p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> Not provided</p>
<p><strong>Keywords:</strong> glaciers, glacier lakes, ice loss, calving, sea-level rise, glacier velocity, terminus environments, Nature Communications, climate change, cryosphere, mass loss, glacier classification</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">336831</post-id>	</item>
		<item>
		<title>Himalayan Glaciers Are Slowing Down and Shrinking, Thirty-Year Study of Ladakh&#8217;s Doda Basin Reveals</title>
		<link>https://scienmag.com/himalayan-glaciers-are-slowing-down-and-shrinking-thirty-year-study-of-ladakhs-doda-basin-reveals/</link>
		
		<dc:creator><![CDATA[Sloane Callahan]]></dc:creator>
		<pubDate>Wed, 07 Oct 2026 10:55:33 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[and mass balance]]></category>
		<category><![CDATA[climate change]]></category>
		<category><![CDATA[comprehensive study of glacier dynamics in Zanskar region]]></category>
		<category><![CDATA[debris cover]]></category>
		<category><![CDATA[Doda basin]]></category>
		<category><![CDATA[effects of debris-covered glaciers on glacier stability]]></category>
		<category><![CDATA[effects of glacier thinning and slowing on water resources in Ladakh]]></category>
		<category><![CDATA[geodetic mass balance]]></category>
		<category><![CDATA[glacier lakes]]></category>
		<category><![CDATA[glacier retreat]]></category>
		<category><![CDATA[Himalayan glacier retreat and shrinking trends]]></category>
		<category><![CDATA[impact of climate change on Western Himalaya glaciers]]></category>
		<category><![CDATA[implications of glacier retreat for Himalayan water reserves]]></category>
		<category><![CDATA[indicators of glacier health including area]]></category>
		<category><![CDATA[Ladakh]]></category>
		<category><![CDATA[Ladakh's Doda Basin glacier health decline]]></category>
		<category><![CDATA[long]]></category>
		<category><![CDATA[remote sensing]]></category>
		<category><![CDATA[satellite data analysis of Himalayan glaciers from 1993 to 2023]]></category>
		<category><![CDATA[surface ice velocity]]></category>
		<category><![CDATA[velocity]]></category>
		<category><![CDATA[water resources]]></category>
		<category><![CDATA[western Himalaya]]></category>
		<category><![CDATA[Zanskar]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=244137</guid>

					<description><![CDATA[A three-decade satellite and field assessment shows glaciers in Ladakh's Doda sub-basin losing area, thinning rapidly and decelerating, with lake-terminating and smaller glaciers hit hardest.]]></description>
										<content:encoded><![CDATA[<p>High in the Zanskar region of Ladakh, the glaciers that feed the Doda River are quietly rewriting the story of the Western Himalaya&#8217;s frozen water reserves. A new study published in Regional Environmental Change by Ajay Singh Rana, Vinit Kumar and Manish Mehta of the Wadia Institute of Himalayan Geology has assembled one of the most comprehensive pictures yet of how these ice masses have behaved over three decades, combining field observations with a battery of satellite datasets spanning 1993 to 2023. The verdict is sobering: the basin&#8217;s glaciers are shrinking, thinning and slowing down simultaneously, and the smallest of them are suffering the most.</p>
<p>The research team quantified five independent indicators of glacier health: total glacial area, frontal retreat, surface ice velocity, surface elevation change and geodetic mass balance. Measuring several variables across the same basin matters because any single metric can mislead. A glacier&#8217;s snout may advance while the ice behind it thins, or a debris-covered tongue may hold its position while the ice beneath stagnates. By triangulating between morphology, dynamics and mass, the authors built a picture of glacier response to both climatic and non-climatic controls that is far harder to dispute than any one measurement alone.</p>
<p>The headline numbers tell a clear story. The total glacierized area of the Doda sub-basin declined from roughly 356 square kilometres in 2005 to about 346 square kilometres in 2023, a loss of around three percent of the mapped ice cover in less than two decades. That figure, modest as it sounds, conceals a sharp size-dependent pattern. Glaciers smaller than five square kilometres lost 12.15 percent of their area, the highest relative loss of any size class, while glaciers larger than ten square kilometres showed comparatively modest reductions. Small ice bodies have less mass to buffer them against warming; their volume-to-surface-area ratio works against them, and once a small glacier begins to retreat, it can vanish within a generation.</p>
<p>Frontal retreat across the basin ranged from 9 plus or minus 2 to 13 plus or minus 3 metres per year. But the most striking contrast emerged between glaciers that end in lakes and those that terminate on land. Lake-terminating glaciers such as Durung-Drung and Mulung retreated faster than glaciers with no glacier-lake interaction. The mechanism is well understood in glaciology: when a glacier front pushes into a proglacial lake, the water attacks the ice cliff, calving accelerates retreat, and the lake itself expands, further destabilizing the terminus. In the Doda basin, this feedback loop has turned some of the region&#8217;s largest glaciers into the fastest losers.</p>
<p>Perhaps the most technically significant result concerns ice velocity. Using repeat satellite imagery, the team found that surface ice velocity declined by 44 percent for large glaciers and 33 percent for medium-sized glaciers between the 1999-2000 and 2022-2023 intervals. Slower ice is not healthier ice. Glacier speed reflects the driving stress that pushes ice downhill; when accumulation thins and the ice mass shrinks, the flow decelerates. A decelerating glacier is effectively a glacier that can no longer replenish its lower reaches, so the tongue stagnates, melts in place and thins from below. Velocity decline is therefore an early-warning signal of long-term decline, often preceding dramatic area loss.</p>
<p>To quantify how much ice the basin has actually lost, the researchers performed a geodetic mass balance analysis by differencing digital elevation models derived from the Shuttle Radar Topography Mission and ASTER satellite stereo imagery. The technique compares surface elevations at two points in time and converts the volume change into water equivalent using density assumptions. The result: a cumulative geodetic mass balance of minus 10.8 plus or minus 6.7 metres of water equivalent, or minus 0.60 plus or minus 0.44 metres per year, over the period 2000 to 2017. In plain terms, the basin&#8217;s glaciers lost the equivalent of nearly eleven metres of water spread across their entire surface in seventeen years, a rate consistent with accelerating ice loss documented across the Himalaya in recent global assessments.</p>
<p>The elevation-change maps revealed where the thinning concentrates. Enhanced thinning occurred near glacier termini and in zones with thin or patchy debris cover. This detail touches one of the more counterintuitive findings in Himalayan glaciology, first articulated in the classic work of Gösta Östrem in 1959: a thin layer of rock debris on ice absorbs more solar radiation than clean ice and actually accelerates melting, while only a thick debris blanket insulates the ice beneath. Patchy debris cover, therefore, creates a mosaic of enhanced ablation, and the Doda data show exactly that signature, with thin-debris zones thinning faster than either clean ice at altitude or thickly mantled tongues.</p>
<p>The climatic backdrop helps explain why. The team analysed a long-term climate record spanning 1901 to 2023 and found significant winter warming, with accumulation-season temperatures from November to April rising at roughly 0.01 degrees Celsius per year. Meanwhile, precipitation increased mainly during the ablation season from May to October. This combination is particularly damaging for glacier mass balance. Warmer winters mean more precipitation falls as rain rather than snow at glacier margins, reducing the snowpack that protects ice through the summer. Summer rainfall, by contrast, delivers energy that promotes melting precisely when the ice is most vulnerable, and rain falling on snow accelerates the loss of the reflective snow cover. The seasonal timing of these changes, rather than their magnitude alone, appears to have tipped the basin&#8217;s glaciers into sustained deficit.</p>
<p>The Doda sub-basin sits within the Zanskar Valley of Ladakh, a cold, arid, high-altitude environment where glaciers are the primary water infrastructure. Meltwater from the Durung-Drung and neighbouring glaciers sustains the Doda River, which joins the Zanskar and ultimately contributes to the Indus system on which agriculture and hydropower across the region depend. The authors highlight that the combined climatic and geomorphic factors accelerating glacier instability pose increasing risks to long-term water-resource sustainability in the Zanskar region. In a region where villages depend on glacier-fed streams for irrigation of barley and vegetable crops during the short growing season, the slow-motion loss of ice storage translates directly into future water insecurity, particularly in late summer when meltwater demand peaks.</p>
<p>What makes this study valuable beyond its regional findings is its methodological integration. Rather than relying on a single satellite record, the authors fused multi-source optical and radar datasets, validated them with field observations, and applied established statistical frameworks to the climate analysis. The size-dependent response they document, with small glaciers losing area fastest, lake-terminating glaciers retreating fastest and large glaciers losing velocity fastest, offers a template for predicting which ice masses in other Himalayan basins are most at risk. As the region&#8217;s glaciers continue their three-decade trajectory of shrinkage, slowdown and thinning, the Doda sub-basin stands as a detailed case study of how the Himalaya&#8217;s water towers are being drawn down, one melt season at a time.</p>
<p><strong>Subject of Research:</strong> Multi-decadal glacier dynamics and mass loss in the Doda sub-basin, Western Himalaya</p>
<p><strong>Article Title:</strong> Multi‑decadal assessment of glacier dynamics in the Doda sub‑Basin, Western Himalaya</p>
<p><strong>Article References:</strong> Rana, A. S., Kumar, V., &amp; Mehta, M. (2026). Multi‑decadal assessment of glacier dynamics in the Doda sub‑Basin, Western Himalaya. <em>Regional Environmental Change, 26</em>(4), Article 212. <a href="https://doi.org/10.1007/s10113-026-02700-0" rel="noopener noreferrer">https://doi.org/10.1007/s10113-026-02700-0</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10113-026-02700-0" rel="noopener noreferrer">10.1007/s10113-026-02700-0</a></p>
<p><strong>Keywords:</strong> glacier retreat, Doda basin, Ladakh, Western Himalaya, geodetic mass balance, surface ice velocity, debris cover, glacier lakes, climate change, Zanskar, remote sensing, water resources</p>
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