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. Future sea-level change projections with process-based stand-alone ice sheetmodels are typically driven with surface mass balance (SMB) forcing derivedfrom climate models. In this work we address the problems arising from amismatch of the modelled ice sheet geometry with the geometry used by the climatemodel. We present a method for applying SMB forcing from climate models to awide range of Greenland ice sheet models with varying and temporallyevolving geometries. In order to achieve that, we translate a given SMBanomaly field as a function of absolute location to a function of surfaceelevation for 25 regional drainage basins, which can then be applied todifferent modelled ice sheet geometries. The key feature of the approach isthe non-locality of this remapping process. The method reproduces theoriginal forcing data closely when remapped to the original geometry. Whenremapped to different modelled geometries it produces a physicallymeaningful forcing with smooth and continuous SMB anomalies across basindivides. The method considerably reduces non-physical biases that wouldarise by applying the SMB anomaly derived for the climate model geometrydirectly to a large range of modelled ice sheet model geometries.

Remapping of Greenland ice sheet surface mass balance anomalies for large ensemble sea-level change projections