Abstract
The Müller Ice Cap will soon set the scene for a new drilling project. Therefore, ice thickness estimates are necessary for planning, since thickness measurements of the ice cap are sparse. Here, three models are presented and compared: (i) a simple Semi-Empirical Ice Thickness Model (SEITMo) based on an inversion of the shallow-ice approximation by the use of a single radar line in combination with the glacier outline, surface slope, and elevation; (ii) an iterative inverse method using the Parallel Ice Sheet Model (PISM), and (iii) a velocity-based inversion of the shallow-ice approximation. The velocity-based inversion underestimates the ice thickness at the ice cap top, making the model less useful to aid in drill site selection, whereas PISM and the SEITMo mostly agree about a good drill site candidate. However, the new SEITMo is insensitive to mass balance, computationally fast, and provides as good fits as PISM.
| Original language | English |
|---|---|
| Pages (from-to) | 1399–1407 |
| Number of pages | 9 |
| Journal | The Cryosphere |
| Volume | 16 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 21 Apr 2022 |
Bibliographical note
Funding Information:Financial support. This research has been supported by the Villum Investigator Project IceFlow (no. 16572).
Funding Information:
The authors are grateful for computing resources and technical assistance provided by the Danish Center for Climate Computing, a facility built with support of the Danish e-Infrastructure Cooporation, Danish Hydrocarbon Research and Technology Centre, Villum Foundation, and Niels Bohr Institute. The authors also acknowledge the Arctic and Climate Research section at the Danish Meteorological Institute for producing and making available their HIRHAM5 model output. Further, the authors acknowledge the development of PISM which is supported by NSF grants PLR-1603799 and PLR-1644277 and NASA grant NNX17AG65G. Ann-Sofie Priergaard Zinck gratefully acknowledges the Dutch Research Council (NWO) for supporting the This research has been supported by the Villum Investigator Project IceFlow (no. 16572).
Funding Information:
Acknowledgements. The authors are grateful for computing resources and technical assistance provided by the Danish Center for Climate Computing, a facility built with support of the Danish e-Infrastructure Cooporation, Danish Hydrocarbon Research and Technology Centre, Villum Foundation, and Niels Bohr Institute. The authors also acknowledge the Arctic and Climate Research section at the Danish Meteorological Institute for producing and making available their HIRHAM5 model output. Further, the authors acknowledge the development of PISM which is supported by NSF grants PLR-1603799 and PLR-1644277 and NASA grant NNX17AG65G. Ann-Sofie Priergaard Zinck gratefully acknowledges the Dutch Research Council (NWO) for supporting the HiRISE project (no. OCENW.GROOT.2019.091). Finally, we thank the reviewer Ward van Pelt, anonymous reviewer, and editor Harry Zekollari for comments and suggestions which helped improve the manuscript.
Publisher Copyright:
© 2022 Ann-Sofie Priergaard Zinck.