Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal 
patterns of seasonal snow cover in coastal Greenland

Van Der Schot, Jorrit; Abermann, Jakob; Rasmussen, Kerstin; Silva, Tiago; Langley, Kirsty; Winkler, Michael; Schöner, Wolfgang

doi:10.57757/IUGG23-1718

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Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland

Urheber*innen

Van Der Schot, Jorrit
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Abermann, Jakob
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Rasmussen, Kerstin
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Silva, Tiago
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Langley, Kirsty
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Winkler, Michael
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Schöner, Wolfgang
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Zitation

Van Der Schot, J., Abermann, J., Rasmussen, K., Silva, T., Langley, K., Winkler, M., Schöner, W. (2023): Evaluating state-of-the-art climate models’ ability to simulate spatio-temporal patterns of seasonal snow cover in coastal Greenland, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-1718

Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017872

Zusammenfassung

Seasonal snow cover in coastal Greenland has important climatic and ecological impacts. Despite the extensive network for monitoring the Greenland Ice Sheet and mountain glaciers, the knowledge about seasonal snow cover in the ice-free parts of the coastal regions is limited. Snow observations from the east and west coasts are available at a few locations and are crucial for understanding dynamics, variability and changes. This study aims to evaluate the ability of a polar regional climate model (RACMO2.3p2) and reanalysis product (CARRA) to simulate observed spatio-temporal patterns of seasonal snow cover in coastal Greenland from 1997 to the present. We compare the model's performance on different latitudes and coasts, and test its ability to capture the large interannual variability detected in the observational data. We will compare several important variables from the model with available observations, focusing on climatic and ecologically relevant metrics such as maximum snow water equivalent, the timing of spring melt, and snow cover build-up. The evaluation of these two products is necessary to see if they can be an addition to the in-situ observations and remote sensing methods. This research is vital in filling the current gap in our understanding of the seasonal snow cover in coastal Greenland and will contribute to a more complete picture of the region's climate.