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La ley de desaparición del Himalaya: revelando la subestimación de la pérdida de glaciares

La ley de desaparición del Himalaya: revelando la subestimación de la pérdida de glaciares

Condado del lago Galong

Esta imagen, tomada por la misión Landsat de EE. UU., muestra el lago Galong Kou. Una nueva investigación publicada en Nature Geoscience muestra que la pérdida de hielo de los glaciares del Himalaya que desembocan en los lagos se subestimó en un promedio del 6,5 % entre 2000 y 2020. Esta subestimación tiene implicaciones críticas para predecir el derretimiento de los glaciares en la región y gestionar los recursos hídricos para más de 1300 millones . gente en Asia. Crédito: USGS/ESA

Una nueva investigación revela que la pérdida de hielo de los glaciares que desembocan en los lagos del Himalaya se ha subestimado enormemente. Este descubrimiento tiene implicaciones críticas para predecir la desaparición de los glaciares en la región y gestionar importantes recursos hídricos.

La pérdida de hielo de los glaciares del Himalaya que desembocan en los lagos se subestimó en un 6,5 % entre 2000 y 2020, lo que afectó las predicciones sobre la desaparición de los glaciares y la gestión de los recursos hídricos para más de 1300 millones de personas en Asia. Los investigadores abogan por incorporar la pérdida de masa submarina en las futuras estimaciones y modelos de glaciares.

Los glaciares del Himalaya forman parte del «Tercer Polo», llamado así porque los campos de hielo en lo alto de las montañas de Asia contienen la mayor reserva de agua dulce fuera de las regiones polares. En general, el Tercer Polo proporciona agua dulce a más de 1.300 millones de personas en Asia.

El cambio climático no solo está provocando la pérdida de hielo de las regiones polares, sino también la pérdida de glaciares en estas altas montañas. Con millones de personas que dependen del agua de esta montaña helada, es importante comprender y anticipar cómo este preciado recurso puede verse afectado en el futuro.

Nuevos hallazgos publicados en la revista

Changes in Himalayan Lake Volume

Changes in Himalayan lake volume. This map shows the changes in the volume of water held in lakes between 2000 and 2020. Orange indicates reduction in volume. The map shows the location of the Imja Tsho and Galong Co lakes. Credit: ESA (data source: Graz University of Technology/ Chinese Academy of Sciences

Digital elevation models based on satellite data have been used widely to estimate ice loss from glaciers. However, meltwater from glaciers often ends up as proglacial lakes – lakes that form in front of the ice. In effect, the glacial ice is replaced by lake water.

The traditional digital elevation model method of estimating ice loss measures the glacier and water surface but does not account for any ice loss that occurs below the surface of a lake.

The Himalayas and many other mountains have thousands of proglacial lakes, many of which are rapidly expanding. Yet, the contribution of subaqueous mass loss to total glacier mass loss has been largely neglected – until now.

An international team, including scientists from the Chinese Academy of Sciences and Graz University of Technology in Austria, used a long time series of satellite images, mainly from the US Landsat mission to detect changes in the outlines of lakes.

Galong Co Lake Volume Change

Galong Co lake volume change. Credit: ESA (data source: Graz University of Technology/ Chinese Academy of Sciences

They also measured the depth of numerous proglacial lakes between 2018 and 2021 using an uncrewed surface vessel and existing bathymetry data.

From the data on the changing shape of the lakes together with the bathymetry data, the team was able to estimate the volume of water the lakes held.

The research is, in part, an outcome of the Dragon program – a cooperation between ESA and China’s National Remote Sensing Centre that promotes the use of ESA, Third Party Mission, Copernicus Sentinel and Chinese satellite data for science and applications.

Although Landsat is a US mission, it is also an ESA Third Party Mission. Through the Third Party Missions program, ESA offers data from a wide range of satellite missions developed and operated by other agencies.

Imja Tsho Lake Volume Change

Imja Tsho lake volume change. Credit: ESA (data source: Graz University of Technology/ Chinese Academy of Sciences

Tobias Bolch, from Graz University of Technology in Austria and co-author of the paper, said, “While satellites provide a wealth of information about our changing world, they cannot ‘see’ underwater. We can only use satellite data to measure a lake’s surface, but not the ice below that is replaced by water.

“This had led to a gap in our understanding of the full extent of ice being lost from lake-terminating glaciers.”

Guoqing Zhang from the Chinese Academy of Sciences, and first author of the paper, explained, “From our research, we now know that proglacial lakes in the region increased by 47% in number, 33% in area, and 42% in volume between 2000 and 2020.

“We estimate that this equates glacier mass loss of around 2.7 Gt, which is about the same weight as 570 million elephants, and which has not been previously accounted for.”

The most significant underestimation of 10% occurred in the central Himalayas, where glacial lake growth has been the most rapid.

“This emphasizes the importance of incorporating subaqueous mass loss from lake-terminating glaciers in future mass-change estimates and glacier evolution models, regardless of the study region,” added Dr. Bolch.

Tandong Yao, co-author of the paper and who also co-chairs the Third Pole Environment program, noted, “By more accurately accounting for glacier mass loss, researchers can better predict future water resource availability in the sensitive mountain region.”

For more on this discovery, see Study Reveals Hidden Ice Melt in Himalayas.

Reference: “Underestimated mass loss from lake-terminating glaciers in the greater Himalaya” by Guoqing Zhang, Tobias Bolch, Tandong Yao, David R. Rounce, Wenfeng Chen, Georg Veh, Owen King, Simon K. Allen, Mengmeng Wang and Weicai Wang, 3 April 2023, Nature Geoscience.
DOI: 10.1038/s41561-023-01150-1

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