Bias in modeled Greenland Ice Sheet melt revealed by ASCAT

Puggaard, Anna; Hansen, Nicolaj; Mottram, Ruth; Nagler, Thomas; Scheiblauer, Stefan; Simonsen, Sebastian B.; Sørensen, Louise S.; Wuite, Jan; Solgaard, Anne M.

doi:https://doi.org/10.5194/tc-19-2963-2025

Articles | Volume 19, issue 8

https://doi.org/10.5194/tc-19-2963-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-19-2963-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 8

Research article

|

12 Aug 2025

Research article |

| 12 Aug 2025

Bias in modeled Greenland Ice Sheet melt revealed by ASCAT

Anna Puggaard, Nicolaj Hansen, Ruth Mottram, Thomas Nagler, Stefan Scheiblauer, Sebastian B. Simonsen, Louise S. Sørensen, Jan Wuite, and Anne M. Solgaard

Data sets

Greenland Ice Sheet Surface Melt from HIRHAM5 from 2007 to 2020 Anna Puggaard and Nicolai Hansen https://doi.org/10.11583/DTU.25568040

GC-Net Level 1 historical automated weather station K. Steffen et al. https://doi.org/10.22008/FK2/VVXGUT

Model code and software

Github repository Anna Puggaard https://doi.org/10.5281/zenodo.15480109

Short summary

Regional climate models are currently the only source for assessing the melt volume of the Greenland Ice Sheet on a global scale. This study compares the modeled melt volume with observations from weather stations and melt extent observed from the Advanced SCATterometer (ASCAT) to assess the performance of the models. It highlights the importance of critically evaluating model outputs with high-quality satellite measurements to improve the understanding of variability among models.