Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-459-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-459-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2024
Research article |
| 07 Feb 2024
| 07 Feb 2024
The application and modification of WRF-Hydro/Glacier to a cold-based Antarctic glacier
Tamara Pletzer
CORRESPONDING AUTHOR
School of Geography, University of Otago, Ōtepoti/Dunedin, New Zealand
Jonathan P. Conway
National Institute of Water and Atmospheric Research, Lauder, New Zealand
Nicolas J. Cullen
School of Geography, University of Otago, Ōtepoti/Dunedin, New Zealand
Trude Eidhammer
NSF National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307, USA
Marwan Katurji
School of Earth and Environment, University of Canterbury, Ōtautahi/Christchurch, New Zealand
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Andrew Gettelman, Hugh Morrison, Trude Eidhammer, Katherine Thayer-Calder, Jian Sun, Richard Forbes, Zachary McGraw, Jiang Zhu, Trude Storelvmo, and John Dennis
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Aubrey Miller, Pascal Sirguey, Simon Morris, Perry Bartelt, Nicolas Cullen, Todd Redpath, Kevin Thompson, and Yves Bühler
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Natural hazard modelers simulate mass movements to better anticipate the risk to people and infrastructure. These simulations require accurate digital elevation models. We test the sensitivity of a well-established snow avalanche model (RAMMS) to the source and spatial resolution of the elevation model. We find key differences in the digital representation of terrain greatly affect the simulated avalanche results, with implications for hazard planning.
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Short summary
We applied a glacier and hydrology model in the McMurdo Dry Valleys (MDV) to model the start and duration of melt over a summer in this extreme polar desert. To do so, we found it necessary to prevent the drainage of melt into ice and optimize the albedo scheme. We show that simulating albedo (for the first time in the MDV) is critical to modelling the feedbacks of albedo, snowfall and melt in the region. This paper is a first step towards more complex spatial modelling of melt and streamflow.
We applied a glacier and hydrology model in the McMurdo Dry Valleys (MDV) to model the start and...
