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Disaggregating geodetic glacier mass balance to annual scale using remote-sensing proxies

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dc.contributor.author BANERJEE, ARGHA en_US
dc.contributor.author Singh, Ujjwal en_US
dc.contributor.author SHETH, CHINTAN en_US
dc.date.accessioned 2024-04-24T05:42:25Z
dc.date.available 2024-04-24T05:42:25Z
dc.date.issued 2023-08 en_US
dc.identifier.citation Journal of Glaciology, 69 (276), 683 – 692. en_US
dc.identifier.issn 0022-1430 en_US
dc.identifier.issn 1727-5652 en_US
dc.identifier.uri https://doi.org/10.1017/jog.2022.89 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8665
dc.description.abstract Decadal-scale, high-resolution geodetic measurements of glacier thinning have transformed our understanding of glacier response to climate change. Annual glacier mass balance can be estimated using remote-sensing proxies like snow-line altitude. These methods require field data for calibration, which are not available for most glaciers. Here we propose a method that combines multiple remotely-sensed proxies to obtain robust estimates of the annual glacier-wide balance using only remotely-sensed decadal-scale geodetic mass balance for calibration. The method is tested on Chhota Shigri, Argentière and Saint-Sorlin glaciers in the Himalaya and the Alps between 2001 and 2020, using four remotely-sensed proxies – the snow-line altitude, the minimum summer albedo over the glacier and two statistics of normalised difference snow index over the off-glacier area around the ablation zone. The reconstructed mass balance compares favourably with the corresponding glaciological field data (correlation coefficient 0.81 − 0.90, p < 0.001; root mean squared error 0.38 − 0.43 m w.e. a−1). The method presented may be useful to study interannual variability in mass balance on glaciers where no field data are available. en_US
dc.language.iso en en_US
dc.publisher Cambridge University Press en_US
dc.subject Glacier mass balance en_US
dc.subject Mass-balance reconstruction en_US
dc.subject Mountain glaciers en_US
dc.subject 2023 en_US
dc.title Disaggregating geodetic glacier mass balance to annual scale using remote-sensing proxies en_US
dc.type Article en_US
dc.contributor.department Dept. of Earth and Climate Science en_US
dc.identifier.sourcetitle Journal of Glaciology en_US
dc.publication.originofpublisher Foreign en_US


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