Format:
Online-Ressource
ISSN:
1991-9603
Content:
Abstract km. In particular, we have introduced a new two-dimensional advection-based wind-driven snow redistribution module that is driven by an offline coupling between WindNinja, a wind downscaling model, and Alpine3D. We then show that large accumulation variability can be at least partially explained by terrain-induced wind speed variations which subsequently redistribute snow around rolling topography. By comparing Alpine3D to airborne-derived snow accumulation measurements within a testing domain over Pine Island Glacier in West Antarctica, we demonstrate that our Alpine3D downscaling approach improves surface mass balance estimates when compared to the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2), a global atmospheric reanalysis which we use as atmospheric forcing. In particular, when compared to MERRA-2, Alpine3D reduces simulated surface mass balance root mean squared error by 23.4 mm w. e. yr - 1 (13 %) and increases variance explained by 24 %. Despite these improvements, our results demonstrate that considerable uncertainty stems from the employed saltation model, confounding simulations of surface mass balance variability.
In:
volume:16
In:
number:11
In:
year:2023
In:
pages:3203-3219
In:
extent:17
In:
Geoscientific model development, Katlenburg-Lindau : Copernicus, 2008-, 16, Heft 11 (2023), 3203-3219 (gesamt 17), 1991-9603
Language:
English
DOI:
10.5194/gmd-16-3203-2023
URN:
urn:nbn:de:101:1-2023061504351187702906
URL:
https://doi.org/10.5194/gmd-16-3203-2023
URL:
https://nbn-resolving.org/urn:nbn:de:101:1-2023061504351187702906
URL:
https://d-nb.info/1292770740/34
URL:
https://gmd.copernicus.org/articles/16/3203/2023/gmd-16-3203-2023.pdf
URL:
https://gmd.copernicus.org/articles/16/3203/2023/
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