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Annual mass-balance time series of Dongkemadi Glacier, 2000–20, from a linear albedo-based model using geodetic data and validated with the glaciological method
Long-term time series of annual glacier mass balance is important for revealing a glacier's response to regional climate variations. However, for the Tibetan Plateau, time series of annual glacier mass balance with more than 10 consecutive years remains scarce due to the inaccessibility and har...
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Published in: | Journal of glaciology 2024-01, Vol.70, p.1-10 |
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description | Long-term time series of annual glacier mass balance is important for revealing a glacier's response to regional climate variations. However, for the Tibetan Plateau, time series of annual glacier mass balance with more than 10 consecutive years remains scarce due to the inaccessibility and harsh climate conditions. In this study, we established an albedo-based model to reconstruct annual glacier mass balance for 2000–20 over the Dongkemadi Glacier, based on multitemporal geodetic estimates and annual minimum glacier-wide mean surface albedos. Geodetic glacier mass-balance estimates for 2000–12, 2012–14 and 2014–18 were obtained by comparing glacier surface topographic data. Minimum surface albedos were obtained from the moderate-resolution imaging spectroradiometer daily snow albedo products for 2000–20. The estimated results are supported by the field measurements of annual glacier mass balance. During the early 2000s, we detected a relatively balanced state of glacier mass change, whereas a pronounced mass loss of more than −0.5 m w.e. was found for most years in the 2010s. By analyzing the regional climate variations with the ERA5-Land monthly averaged data, we found that the accelerated glacier mass loss can be attributed to both decreased annual snowfall and increased summer air temperature. |
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However, for the Tibetan Plateau, time series of annual glacier mass balance with more than 10 consecutive years remains scarce due to the inaccessibility and harsh climate conditions. In this study, we established an albedo-based model to reconstruct annual glacier mass balance for 2000–20 over the Dongkemadi Glacier, based on multitemporal geodetic estimates and annual minimum glacier-wide mean surface albedos. Geodetic glacier mass-balance estimates for 2000–12, 2012–14 and 2014–18 were obtained by comparing glacier surface topographic data. Minimum surface albedos were obtained from the moderate-resolution imaging spectroradiometer daily snow albedo products for 2000–20. The estimated results are supported by the field measurements of annual glacier mass balance. During the early 2000s, we detected a relatively balanced state of glacier mass change, whereas a pronounced mass loss of more than −0.5 m w.e. was found for most years in the 2010s. By analyzing the regional climate variations with the ERA5-Land monthly averaged data, we found that the accelerated glacier mass loss can be attributed to both decreased annual snowfall and increased summer air temperature.</description><identifier>ISSN: 0022-1430</identifier><identifier>EISSN: 1727-5652</identifier><identifier>DOI: 10.1017/jog.2024.1</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Ablation ; Air temperature ; Albedo ; albedo-based model ; Annual ; annual glacier mass balance ; Climate ; Climate variations ; Climatic conditions ; Daily precipitation ; Dongkemadi Glacier ; Estimates ; geodetic method ; Glacier mass balance ; Glacier measurements ; Glaciers ; Ice ; Mass balance ; Mass balance of glaciers ; Radiation ; Regional analysis ; Regional climates ; Regions ; Snow ; Snowfall ; Spectroradiometers ; Tibetan Plateau ; Time series ; Topography</subject><ispartof>Journal of glaciology, 2024-01, Vol.70, p.1-10</ispartof><rights>Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of International Glaciological Society</rights><rights>Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of International Glaciological Society. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-2473-491X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3148345957/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3148345957?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,72960,75126</link.rule.ids></links><search><creatorcontrib>Liu, Lin</creatorcontrib><creatorcontrib>Zhang, Zhimin</creatorcontrib><creatorcontrib>Sun, Yongling</creatorcontrib><creatorcontrib>Shi, Xuguo</creatorcontrib><creatorcontrib>Jiang, Liming</creatorcontrib><title>Annual mass-balance time series of Dongkemadi Glacier, 2000–20, from a linear albedo-based model using geodetic data and validated with the glaciological method</title><title>Journal of glaciology</title><addtitle>J. Glaciol</addtitle><description>Long-term time series of annual glacier mass balance is important for revealing a glacier's response to regional climate variations. However, for the Tibetan Plateau, time series of annual glacier mass balance with more than 10 consecutive years remains scarce due to the inaccessibility and harsh climate conditions. In this study, we established an albedo-based model to reconstruct annual glacier mass balance for 2000–20 over the Dongkemadi Glacier, based on multitemporal geodetic estimates and annual minimum glacier-wide mean surface albedos. Geodetic glacier mass-balance estimates for 2000–12, 2012–14 and 2014–18 were obtained by comparing glacier surface topographic data. Minimum surface albedos were obtained from the moderate-resolution imaging spectroradiometer daily snow albedo products for 2000–20. The estimated results are supported by the field measurements of annual glacier mass balance. During the early 2000s, we detected a relatively balanced state of glacier mass change, whereas a pronounced mass loss of more than −0.5 m w.e. was found for most years in the 2010s. By analyzing the regional climate variations with the ERA5-Land monthly averaged data, we found that the accelerated glacier mass loss can be attributed to both decreased annual snowfall and increased summer air temperature.</description><subject>Ablation</subject><subject>Air temperature</subject><subject>Albedo</subject><subject>albedo-based model</subject><subject>Annual</subject><subject>annual glacier mass balance</subject><subject>Climate</subject><subject>Climate variations</subject><subject>Climatic conditions</subject><subject>Daily precipitation</subject><subject>Dongkemadi Glacier</subject><subject>Estimates</subject><subject>geodetic method</subject><subject>Glacier mass balance</subject><subject>Glacier measurements</subject><subject>Glaciers</subject><subject>Ice</subject><subject>Mass balance</subject><subject>Mass balance of glaciers</subject><subject>Radiation</subject><subject>Regional analysis</subject><subject>Regional climates</subject><subject>Regions</subject><subject>Snow</subject><subject>Snowfall</subject><subject>Spectroradiometers</subject><subject>Tibetan Plateau</subject><subject>Time series</subject><subject>Topography</subject><issn>0022-1430</issn><issn>1727-5652</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpFkc1u1DAUhSNEJYbSTZ_gSmwng3-SeLKsCpRKldh0b93Y1xkPTlzsDIgd78Ab8Gg8SR0GidXVOffo05FOVV1ztuOMq3fHOO4EE82Ov6g2XAlVt10rXlYbxoSoeSPZq-p1zsci-5bzTfX7Zp5PGGDCnOsBA86GYPETQabkKUN08D7O4xea0Hq4C2g8pS0Ixtifn78E24JLcQKE4GfCBBgGsrGgMlmYoqUAp-znEUYqYvEGLC4IOFv4hsEXUXLf_XKA5UAwrvwY4ujNWoqWQ7RvqguHIdPVv3tZPX788Hj7qX74fHd_e_NQG8G7pSblpDDkqDNyoH2n-tb1DPcNtk4Z7mhgrCmfrkfOFDdDIx0TSlnRsXbg8rK6P2NtxKN-Sn7C9ENH9PqvEdOoMZX-gbRifcG61vBBNq5HtGYgEr0QUgmxX1lvz6ynFL-eKC_6GE9pLu215M1eNm3fqpLanlMGpyF5O9L_GGd6HbQYo14H1Vw-A43hlLI</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Liu, Lin</creator><creator>Zhang, Zhimin</creator><creator>Sun, Yongling</creator><creator>Shi, Xuguo</creator><creator>Jiang, Liming</creator><general>Cambridge University Press</general><scope>IKXGN</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2473-491X</orcidid></search><sort><creationdate>20240101</creationdate><title>Annual mass-balance time series of Dongkemadi Glacier, 2000–20, from a linear albedo-based model using geodetic data and validated with the glaciological method</title><author>Liu, Lin ; 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Glaciol</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>70</volume><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>0022-1430</issn><eissn>1727-5652</eissn><abstract>Long-term time series of annual glacier mass balance is important for revealing a glacier's response to regional climate variations. However, for the Tibetan Plateau, time series of annual glacier mass balance with more than 10 consecutive years remains scarce due to the inaccessibility and harsh climate conditions. In this study, we established an albedo-based model to reconstruct annual glacier mass balance for 2000–20 over the Dongkemadi Glacier, based on multitemporal geodetic estimates and annual minimum glacier-wide mean surface albedos. Geodetic glacier mass-balance estimates for 2000–12, 2012–14 and 2014–18 were obtained by comparing glacier surface topographic data. Minimum surface albedos were obtained from the moderate-resolution imaging spectroradiometer daily snow albedo products for 2000–20. The estimated results are supported by the field measurements of annual glacier mass balance. During the early 2000s, we detected a relatively balanced state of glacier mass change, whereas a pronounced mass loss of more than −0.5 m w.e. was found for most years in the 2010s. By analyzing the regional climate variations with the ERA5-Land monthly averaged data, we found that the accelerated glacier mass loss can be attributed to both decreased annual snowfall and increased summer air temperature.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/jog.2024.1</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-2473-491X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Ablation Air temperature Albedo albedo-based model Annual annual glacier mass balance Climate Climate variations Climatic conditions Daily precipitation Dongkemadi Glacier Estimates geodetic method Glacier mass balance Glacier measurements Glaciers Ice Mass balance Mass balance of glaciers Radiation Regional analysis Regional climates Regions Snow Snowfall Spectroradiometers Tibetan Plateau Time series Topography |
title | Annual mass-balance time series of Dongkemadi Glacier, 2000–20, from a linear albedo-based model using geodetic data and validated with the glaciological method |
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