Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8665
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dc.contributor.authorBANERJEE, ARGHAen_US
dc.contributor.authorSingh, Ujjwalen_US
dc.contributor.authorSHETH, CHINTANen_US
dc.date.accessioned2024-04-24T05:42:25Z-
dc.date.available2024-04-24T05:42:25Z-
dc.date.issued2023-08en_US
dc.identifier.citationJournal of Glaciology, 69 (276), 683 – 692.en_US
dc.identifier.issn0022-1430en_US
dc.identifier.issn1727-5652en_US
dc.identifier.urihttps://doi.org/10.1017/jog.2022.89en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8665-
dc.description.abstractDecadal-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.isoenen_US
dc.publisherCambridge University Pressen_US
dc.subjectGlacier mass balanceen_US
dc.subjectMass-balance reconstructionen_US
dc.subjectMountain glaciersen_US
dc.subject2023en_US
dc.titleDisaggregating geodetic glacier mass balance to annual scale using remote-sensing proxiesen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Earth and Climate Scienceen_US
dc.identifier.sourcetitleJournal of Glaciologyen_US
dc.publication.originofpublisherForeignen_US
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