The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum
We present an ensemble of numerical simulations of the Cordilleran ice sheet during the Last Glacial Maximum performed with the Parallel Ice Sheet Model (PISM), applying temperature offsets to the present-day climatologies from five different data sets. Monthly mean surface air temperature and preci...
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ftcopernicus:oai:publications.copernicus.org:tc23106 2023-05-15T16:39:47+02:00 The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum Seguinot, J. Khroulev, C. Rogozhina, I. Stroeven, A. P. Zhang, Q. 2018-09-27 application/pdf https://doi.org/10.5194/tc-8-1087-2014 https://tc.copernicus.org/articles/8/1087/2014/ eng eng doi:10.5194/tc-8-1087-2014 https://tc.copernicus.org/articles/8/1087/2014/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-8-1087-2014 2020-07-20T16:25:02Z We present an ensemble of numerical simulations of the Cordilleran ice sheet during the Last Glacial Maximum performed with the Parallel Ice Sheet Model (PISM), applying temperature offsets to the present-day climatologies from five different data sets. Monthly mean surface air temperature and precipitation from WorldClim, the NCEP/NCAR reanalysis, the ERA-Interim reanalysis, the Climate Forecast System Reanalysis and the North American Regional Reanalysis are used to compute surface mass balance in a positive degree-day model. Modelled ice sheet outlines and volumes appear highly sensitive to the choice of climate forcing. For three of the four reanalysis data sets used, differences in precipitation are the major source for discrepancies between model results. We assess model performance against a geomorphological reconstruction of the ice margin at the Last Glacial Maximum, and suggest that part of the mismatch is due to unresolved orographic precipitation effects caused by the coarse resolution of reanalysis data. The best match between model output and the reconstructed ice margin is obtained using the high-resolution North American Regional Reanalysis, which we retain for simulations of the Cordilleran ice sheet in the future. Text Ice Sheet Copernicus Publications: E-Journals The Cryosphere 8 3 1087 1103 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
We present an ensemble of numerical simulations of the Cordilleran ice sheet during the Last Glacial Maximum performed with the Parallel Ice Sheet Model (PISM), applying temperature offsets to the present-day climatologies from five different data sets. Monthly mean surface air temperature and precipitation from WorldClim, the NCEP/NCAR reanalysis, the ERA-Interim reanalysis, the Climate Forecast System Reanalysis and the North American Regional Reanalysis are used to compute surface mass balance in a positive degree-day model. Modelled ice sheet outlines and volumes appear highly sensitive to the choice of climate forcing. For three of the four reanalysis data sets used, differences in precipitation are the major source for discrepancies between model results. We assess model performance against a geomorphological reconstruction of the ice margin at the Last Glacial Maximum, and suggest that part of the mismatch is due to unresolved orographic precipitation effects caused by the coarse resolution of reanalysis data. The best match between model output and the reconstructed ice margin is obtained using the high-resolution North American Regional Reanalysis, which we retain for simulations of the Cordilleran ice sheet in the future. |
format |
Text |
author |
Seguinot, J. Khroulev, C. Rogozhina, I. Stroeven, A. P. Zhang, Q. |
spellingShingle |
Seguinot, J. Khroulev, C. Rogozhina, I. Stroeven, A. P. Zhang, Q. The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum |
author_facet |
Seguinot, J. Khroulev, C. Rogozhina, I. Stroeven, A. P. Zhang, Q. |
author_sort |
Seguinot, J. |
title |
The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum |
title_short |
The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum |
title_full |
The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum |
title_fullStr |
The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum |
title_full_unstemmed |
The effect of climate forcing on numerical simulations of the Cordilleran ice sheet at the Last Glacial Maximum |
title_sort |
effect of climate forcing on numerical simulations of the cordilleran ice sheet at the last glacial maximum |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-8-1087-2014 https://tc.copernicus.org/articles/8/1087/2014/ |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-8-1087-2014 https://tc.copernicus.org/articles/8/1087/2014/ |
op_doi |
https://doi.org/10.5194/tc-8-1087-2014 |
container_title |
The Cryosphere |
container_volume |
8 |
container_issue |
3 |
container_start_page |
1087 |
op_container_end_page |
1103 |
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1766030116970823680 |