Abstract ID: 28.7688 | Accepted as Poster | Poster | 2025-02-28 12:45 - 14:15 | Ágnes‐Heller‐Haus/Small Lecture Room

High altitude precipitation and the related accumulation rates on glaciers are variables with the highest uncertainties when it comes to assessing the status of the cryosphere in High Mountain Asia (HMA). While ice melt in the lower regions can be modelled to a rather satisfying accuracy by using reanalysis data, combined with meteorological information from valley stations, the knowledge about accumulation at high elevations is still poorly constrained. We will combine field observations with remote sensing observations in an integrated study to feed into regional climate models and detailed modelling of the snow and firn conditions. The outcome will answer pressing questions at different spatial and temporal scales, focussing on Fedchenko Glacier in the Pamir Mountains for the local investigations, but extending the model results to the entire Pamir region. Temporally high resolved information will be gained about the evolution of the firn layering and the effect of surface melt on compaction, percolation and layer preservation. The regional accumulation distribution across the most significant elevation ranges will be reconstructed using a climate model, calibrated by both local and satellite observational data. These investigations will contribute to characterising the mass balance situation of the glaciers in the Pamir mountains. Initial work, both in the field and in setting up the model infrastructure was already carried out.