Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes
© 2022 The Authors. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
| Veröffentlicht in: | Geophysical research letters. - 1984. - 49(2022), 20 vom: 28. Okt., Seite e2022GL099330 |
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| Weitere Verfasser: | , , , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | Geophysical research letters |
| Schlagworte: | Journal Article Antarctica altimetry surface mass balance |
| Zusammenfassung: | © 2022 The Authors. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. Sub-grid-scale processes occurring at or near the surface of an ice sheet have a potentially large impact on local and integrated net accumulation of snow via redistribution and sublimation. Given observational complexity, they are either ignored or parameterized over large-length scales. Here, we train random forest (RF) models to predict variability in net accumulation over the Antarctic Ice Sheet using atmospheric variables and topographic characteristics as predictors at 1 km resolution. Observations of net snow accumulation from both in situ and airborne radar data provide the input observable targets needed to train the RF models. We find that local net accumulation deviates by as much as 172% of the atmospheric model mean. The correlation in space between the predicted net accumulation variability and satellite-derived surface-height change indicates that surface processes operate differently through time, driven largely by the seasonal anomalies in snow accumulation |
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| Beschreibung: | Date Revised 09.09.2024 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
| ISSN: | 0094-8276 |
| DOI: | 10.1029/2022GL099330 |