SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet
We present SEMIC, a Surface Energy and Mass balance model of Intermediate Complexity for snow- and ice-covered surfaces such as the Greenland ice sheet. SEMIC is fast enough for glacial cycle applications, making it a suitable replacement for simpler methods such as the positive degree day (PDD) met...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , |
Format: | Text |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-11-1519-2017 https://tc.copernicus.org/articles/11/1519/2017/ |
id |
ftcopernicus:oai:publications.copernicus.org:tc55525 |
---|---|
record_format |
openpolar |
spelling |
ftcopernicus:oai:publications.copernicus.org:tc55525 2023-05-15T16:28:15+02:00 SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet Krapp, Mario Robinson, Alexander Ganopolski, Andrey 2018-09-27 application/pdf https://doi.org/10.5194/tc-11-1519-2017 https://tc.copernicus.org/articles/11/1519/2017/ eng eng doi:10.5194/tc-11-1519-2017 https://tc.copernicus.org/articles/11/1519/2017/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-11-1519-2017 2020-07-20T16:23:41Z We present SEMIC, a Surface Energy and Mass balance model of Intermediate Complexity for snow- and ice-covered surfaces such as the Greenland ice sheet. SEMIC is fast enough for glacial cycle applications, making it a suitable replacement for simpler methods such as the positive degree day (PDD) method often used in ice sheet modelling. Our model explicitly calculates the main processes involved in the surface energy and mass balance, while maintaining a simple interface and requiring minimal data input to drive it. In this novel approach, we parameterise diurnal temperature variations in order to more realistically capture the daily thaw–freeze cycles that characterise the ice sheet mass balance. We show how to derive optimal model parameters for SEMIC specifically to reproduce surface characteristics and day-to-day variations similar to the regional climate model MAR (Modèle Atmosphérique Régional, version 2) and its incorporated multilayer snowpack model SISVAT (Soil Ice Snow Vegetation Atmosphere Transfer). A validation test shows that SEMIC simulates future changes in surface temperature and surface mass balance in good agreement with the more sophisticated multilayer snowpack model SISVAT included in MAR. With this paper, we present a physically based surface model to the ice sheet modelling community that is general enough to be used with in situ observations, climate model, or reanalysis data, and that is at the same time computationally fast enough for long-term integrations, such as glacial cycles or future climate change scenarios. Text Greenland Ice Sheet Copernicus Publications: E-Journals Greenland The Cryosphere 11 4 1519 1535 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
We present SEMIC, a Surface Energy and Mass balance model of Intermediate Complexity for snow- and ice-covered surfaces such as the Greenland ice sheet. SEMIC is fast enough for glacial cycle applications, making it a suitable replacement for simpler methods such as the positive degree day (PDD) method often used in ice sheet modelling. Our model explicitly calculates the main processes involved in the surface energy and mass balance, while maintaining a simple interface and requiring minimal data input to drive it. In this novel approach, we parameterise diurnal temperature variations in order to more realistically capture the daily thaw–freeze cycles that characterise the ice sheet mass balance. We show how to derive optimal model parameters for SEMIC specifically to reproduce surface characteristics and day-to-day variations similar to the regional climate model MAR (Modèle Atmosphérique Régional, version 2) and its incorporated multilayer snowpack model SISVAT (Soil Ice Snow Vegetation Atmosphere Transfer). A validation test shows that SEMIC simulates future changes in surface temperature and surface mass balance in good agreement with the more sophisticated multilayer snowpack model SISVAT included in MAR. With this paper, we present a physically based surface model to the ice sheet modelling community that is general enough to be used with in situ observations, climate model, or reanalysis data, and that is at the same time computationally fast enough for long-term integrations, such as glacial cycles or future climate change scenarios. |
format |
Text |
author |
Krapp, Mario Robinson, Alexander Ganopolski, Andrey |
spellingShingle |
Krapp, Mario Robinson, Alexander Ganopolski, Andrey SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet |
author_facet |
Krapp, Mario Robinson, Alexander Ganopolski, Andrey |
author_sort |
Krapp, Mario |
title |
SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet |
title_short |
SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet |
title_full |
SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet |
title_fullStr |
SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet |
title_full_unstemmed |
SEMIC: an efficient surface energy and mass balance model applied to the Greenland ice sheet |
title_sort |
semic: an efficient surface energy and mass balance model applied to the greenland ice sheet |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-11-1519-2017 https://tc.copernicus.org/articles/11/1519/2017/ |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-11-1519-2017 https://tc.copernicus.org/articles/11/1519/2017/ |
op_doi |
https://doi.org/10.5194/tc-11-1519-2017 |
container_title |
The Cryosphere |
container_volume |
11 |
container_issue |
4 |
container_start_page |
1519 |
op_container_end_page |
1535 |
_version_ |
1766017887388041216 |