edu.ucar.opensky::articles:23415 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-25T15:08:16.260743 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7348pmt https://doi.org/10.5281/zenodo.3760526 https Related Dataset #1 Dataset for "Remapping of Greenland ice sheet surface mass balance anomalies for large ensemble sea-level change projections" https://doi.org/10.5281/zenodo.3762384 https Related Software #1 hgoelzer/aSMB-remapping v1.0.0 Remapping of Greenland ice sheet surface mass balance anomalies for large ensemble sea-level change projections 2020-06-02T00:00:00Z publication https://n2t.org/ark:/85065/d7348pmt https://doi.org/10.5194/tc-14-1747-2020 Goelzer, H. author Noël, B. P. Y. author Edwards, T. L. author Fettweis, X. author Gregory, J. M. author Lipscomb, William author van de Wal, R. S. W. author van den Broeke, M. R. author UCAR/NCAR - Library publisher Future sea-level change projections with process-based stand-alone ice sheet models are typically driven with surface mass balance (SMB) forcing derived from climate models. In this work we address the problems arising from a mismatch of the modelled ice sheet geometry with the geometry used by the climate model. We present a method for applying SMB forcing from climate models to a wide range of Greenland ice sheet models with varying and temporally evolving geometries. In order to achieve that, we translate a given SMB anomaly field as a function of absolute location to a function of surface elevation for 25 regional drainage basins, which can then be applied to different modelled ice sheet geometries. The key feature of the approach is the non-locality of this remapping process. The method reproduces the original forcing data closely when remapped to the original geometry. When remapped to different modelled geometries it produces a physically meaningful forcing with smooth and continuous SMB anomalies across basin divides. The method considerably reduces non-physical biases that would arise by applying the SMB anomaly derived for the climate model geometry directly to a large range of modelled ice sheet model geometries. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation