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The monitoring of glacier mass balance hinein remote regions is challenging but vital for understanding the response of glaciers to climate change. Glacier mass balance observations are sparse and inhomogeneously distributed, hinein particular for the target regions of the proposed project: the Tien Shan and the Pamir. In these regions glacier ice represents an important source of runoff, but glacier monitoring has only recently been re-established for selected glaciers. The under-sampling Schwierigkeit of glacier change assessments limits change predictions and impact projections. Rein this study, we plan to elaborate novel approaches to derive sub-seasonal glacier mass balance at a regional scale based on remote snowline monitoring. The proposed methodology is predicated on the information content of short-term changes in snowline elevation detected with repeated remote sensing imagery for both the quantities of winter accumulation and summer ablation. A relation between the observed snowline position, the glacier geometry and the glacier-wide mass balance is created by backward modelling.
Automatic normalization of author names is not exact. Hence it is clear that Anleitung intervention based on human knowledge is required to perfect algorithmic results.
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