Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017
<p>Atmospheric warming is intensifying glacier melting and glacial-lake development in High Mountain Asia (HMA), and this could increase glacial-lake outburst flood (GLOF) hazards and impact water resources and hydroelectric-power management. There is therefore a pressing need to obtain compre...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-03-01
|
| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/13/741/2021/essd-13-741-2021.pdf |
| _version_ | 1818725795578773504 |
|---|---|
| author | F. Chen F. Chen F. Chen M. Zhang H. Guo H. Guo H. Guo S. Allen S. Allen J. S. Kargel U. K. Haritashya C. S. Watson C. S. Watson |
| author_facet | F. Chen F. Chen F. Chen M. Zhang H. Guo H. Guo H. Guo S. Allen S. Allen J. S. Kargel U. K. Haritashya C. S. Watson C. S. Watson |
| author_sort | F. Chen |
| collection | DOAJ |
| description | <p>Atmospheric warming is intensifying glacier melting and
glacial-lake development in High Mountain Asia (HMA), and this could
increase glacial-lake outburst flood (GLOF) hazards and impact water
resources and hydroelectric-power management. There is therefore a pressing
need to obtain comprehensive knowledge of the distribution and area of
glacial lakes and also to quantify the variability in their sizes and types
at high resolution in HMA. In this work, we developed an HMA glacial-lake
inventory (Hi-MAG) database to characterize the annual coverage of glacial
lakes from 2008 to 2017 at 30 m resolution using Landsat satellite imagery.
Our data show that glacial lakes exhibited a total area increase of
90.14 km<span class="inline-formula"><sup>2</sup></span> in the period 2008–2017, a <span class="inline-formula">+6.90</span> % change relative to
2008 (<span class="inline-formula">1305.59±213.99</span> km<span class="inline-formula"><sup>2</sup></span>). The annual increases in the number
and area of lakes were 306 and 12 km<span class="inline-formula"><sup>2</sup></span>, respectively, and the greatest
increase in the number of lakes occurred at 5400 m elevation, which
increased by 249. Proglacial-lake-dominated areas, such as the
Nyainqêntanglha and central Himalaya, where more than half of the
glacial-lake area (summed over a 1<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 1<span class="inline-formula"><sup>∘</sup></span>
grid) consisted of proglacial lakes, showed obvious lake-area expansion.
Conversely, some regions of eastern Tibetan mountains and Hengduan Shan,
where unconnected glacial lakes occupied over half of the total lake area in
each grid, exhibited stability or a slight reduction in lake area. Our
results demonstrate that proglacial lakes are a main contributor to recent
lake evolution in HMA, accounting for 62.87 % (56.67 km<span class="inline-formula"><sup>2</sup></span>) of the
total area increase. Proglacial lakes in the Himalaya ranges alone accounted
for 36.27 % (32.70 km<span class="inline-formula"><sup>2</sup></span>) of the total area increase. Regional
geographic variability in debris cover, together with trends in warming and
precipitation over the past few decades, largely explains the current
distribution of supraglacial- and proglacial-lake area across HMA. The Hi-MAG
database is available at <a href="https://doi.org/10.5281/zenodo.4275164">https://doi.org/10.5281/zenodo.4275164</a>
(Chen et al., 2020), and it can be used for studies of the complex interactions between glaciers, climate and glacial lakes, studies of GLOFs, and water resources.</p> |
| first_indexed | 2024-12-17T21:47:59Z |
| format | Article |
| id | doaj.art-ce60e808c8a8481caeecfcacdb5ac6ba |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-12-17T21:47:59Z |
| publishDate | 2021-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-ce60e808c8a8481caeecfcacdb5ac6ba2022-12-21T21:31:24ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162021-03-011374176610.5194/essd-13-741-2021Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017F. Chen0F. Chen1F. Chen2M. Zhang3H. Guo4H. Guo5H. Guo6S. Allen7S. Allen8J. S. Kargel9U. K. Haritashya10C. S. Watson11C. S. Watson12Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, ChinaHainan Key Laboratory of Earth Observation, Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya 572029, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, ChinaHainan Key Laboratory of Earth Observation, Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya 572029, ChinaDepartment of Geography, University of Zurich, Zurich, 8057, SwitzerlandInstitute for Environmental Sciences, University of Geneva, Geneva, 1205, SwitzerlandThe Planetary Science Institute, Tucson, Arizona 85719, USADepartment of Geology, University of Dayton, Dayton, Ohio 45469, USADepartment of Hydrology & Atmospheric Sciences, University of Arizona, Tucson, Arizona 85721, USACOMET, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK<p>Atmospheric warming is intensifying glacier melting and glacial-lake development in High Mountain Asia (HMA), and this could increase glacial-lake outburst flood (GLOF) hazards and impact water resources and hydroelectric-power management. There is therefore a pressing need to obtain comprehensive knowledge of the distribution and area of glacial lakes and also to quantify the variability in their sizes and types at high resolution in HMA. In this work, we developed an HMA glacial-lake inventory (Hi-MAG) database to characterize the annual coverage of glacial lakes from 2008 to 2017 at 30 m resolution using Landsat satellite imagery. Our data show that glacial lakes exhibited a total area increase of 90.14 km<span class="inline-formula"><sup>2</sup></span> in the period 2008–2017, a <span class="inline-formula">+6.90</span> % change relative to 2008 (<span class="inline-formula">1305.59±213.99</span> km<span class="inline-formula"><sup>2</sup></span>). The annual increases in the number and area of lakes were 306 and 12 km<span class="inline-formula"><sup>2</sup></span>, respectively, and the greatest increase in the number of lakes occurred at 5400 m elevation, which increased by 249. Proglacial-lake-dominated areas, such as the Nyainqêntanglha and central Himalaya, where more than half of the glacial-lake area (summed over a 1<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 1<span class="inline-formula"><sup>∘</sup></span> grid) consisted of proglacial lakes, showed obvious lake-area expansion. Conversely, some regions of eastern Tibetan mountains and Hengduan Shan, where unconnected glacial lakes occupied over half of the total lake area in each grid, exhibited stability or a slight reduction in lake area. Our results demonstrate that proglacial lakes are a main contributor to recent lake evolution in HMA, accounting for 62.87 % (56.67 km<span class="inline-formula"><sup>2</sup></span>) of the total area increase. Proglacial lakes in the Himalaya ranges alone accounted for 36.27 % (32.70 km<span class="inline-formula"><sup>2</sup></span>) of the total area increase. Regional geographic variability in debris cover, together with trends in warming and precipitation over the past few decades, largely explains the current distribution of supraglacial- and proglacial-lake area across HMA. The Hi-MAG database is available at <a href="https://doi.org/10.5281/zenodo.4275164">https://doi.org/10.5281/zenodo.4275164</a> (Chen et al., 2020), and it can be used for studies of the complex interactions between glaciers, climate and glacial lakes, studies of GLOFs, and water resources.</p>https://essd.copernicus.org/articles/13/741/2021/essd-13-741-2021.pdf |
| spellingShingle | F. Chen F. Chen F. Chen M. Zhang H. Guo H. Guo H. Guo S. Allen S. Allen J. S. Kargel U. K. Haritashya C. S. Watson C. S. Watson Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017 Earth System Science Data |
| title | Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017 |
| title_full | Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017 |
| title_fullStr | Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017 |
| title_full_unstemmed | Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017 |
| title_short | Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017 |
| title_sort | annual 30 thinsp m dataset for glacial lakes in high mountain asia from 2008 to 2017 |
| url | https://essd.copernicus.org/articles/13/741/2021/essd-13-741-2021.pdf |
| work_keys_str_mv | AT fchen annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT fchen annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT fchen annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT mzhang annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT hguo annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT hguo annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT hguo annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT sallen annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT sallen annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT jskargel annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT ukharitashya annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT cswatson annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 AT cswatson annual30thinspmdatasetforglaciallakesinhighmountainasiafrom2008to2017 |