Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes
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 t...
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ftpubmed:oai:pubmedcentral.nih.gov:9787652 2023-05-15T13:58:38+02:00 Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes Medley, B. Lenaerts, J. T. M. Dattler, M. Keenan, E. Wever, N. 2022-10-17 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9787652/ https://doi.org/10.1029/2022GL099330 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9787652/ http://dx.doi.org/10.1029/2022GL099330 © 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. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. PDM CC-BY Geophys Res Lett Research Letter Text 2022 ftpubmed https://doi.org/10.1029/2022GL099330 2023-01-01T01:34:17Z 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. Text Antarc* Antarctic Ice Sheet PubMed Central (PMC) Antarctic The Antarctic Geophysical Research Letters 49 20 |
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English |
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Research Letter |
spellingShingle |
Research Letter Medley, B. Lenaerts, J. T. M. Dattler, M. Keenan, E. Wever, N. Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes |
topic_facet |
Research Letter |
description |
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. |
format |
Text |
author |
Medley, B. Lenaerts, J. T. M. Dattler, M. Keenan, E. Wever, N. |
author_facet |
Medley, B. Lenaerts, J. T. M. Dattler, M. Keenan, E. Wever, N. |
author_sort |
Medley, B. |
title |
Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes |
title_short |
Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes |
title_full |
Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes |
title_fullStr |
Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes |
title_full_unstemmed |
Predicting Antarctic Net Snow Accumulation at the Kilometer Scale and Its Impact on Observed Height Changes |
title_sort |
predicting antarctic net snow accumulation at the kilometer scale and its impact on observed height changes |
publisher |
John Wiley and Sons Inc. |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9787652/ https://doi.org/10.1029/2022GL099330 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Ice Sheet |
genre_facet |
Antarc* Antarctic Ice Sheet |
op_source |
Geophys Res Lett |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9787652/ http://dx.doi.org/10.1029/2022GL099330 |
op_rights |
© 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. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_rightsnorm |
PDM CC-BY |
op_doi |
https://doi.org/10.1029/2022GL099330 |
container_title |
Geophysical Research Letters |
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49 |
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20 |
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1766266989208141824 |