2022
DOI: 10.1017/jog.2022.16
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Revisiting glacier mass-balance sensitivity to surface air temperature using a data-driven regionalization

Abstract: This study involves examination of glaciological mass-balance time series, glacier and climatic descriptors, the application of machine learning methods for glaciological clustering, and computation of mass-balance time series based upon the clustering and statistical analyses relative to gridded air temperature datasets. Our analysis revealed an increasingly coherent mass-balance trend but a latitudinal bias of monitoring programs. The glacier classification scheme delivered three clusters, suggesting these c… Show more

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References 69 publications
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