Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals
Greenland ice sheet mass loss continues to accelerate as global temperatures increase. The surface albedo of the ice sheet determines the amount of absorbed solar energy, which is a key factor in driving surface snow and ice melting. Satellite-retrieved snow albedo allows us to compare and optimise...
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Copernicus Publications
2023
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Online Access: | https://doi.org/10.5194/tc-17-2705-2023 https://doaj.org/article/ae00aa0d3a004e0a8a2c30ade214997e |
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ftdoajarticles:oai:doaj.org/article:ae00aa0d3a004e0a8a2c30ade214997e 2023-07-30T04:03:48+02:00 Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals N. Raoult S. Charbit C. Dumas F. Maignan C. Ottlé V. Bastrikov 2023-07-01T00:00:00Z https://doi.org/10.5194/tc-17-2705-2023 https://doaj.org/article/ae00aa0d3a004e0a8a2c30ade214997e EN eng Copernicus Publications https://tc.copernicus.org/articles/17/2705/2023/tc-17-2705-2023.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-17-2705-2023 1994-0416 1994-0424 https://doaj.org/article/ae00aa0d3a004e0a8a2c30ade214997e The Cryosphere, Vol 17, Pp 2705-2724 (2023) Environmental sciences GE1-350 Geology QE1-996.5 article 2023 ftdoajarticles https://doi.org/10.5194/tc-17-2705-2023 2023-07-16T00:36:37Z Greenland ice sheet mass loss continues to accelerate as global temperatures increase. The surface albedo of the ice sheet determines the amount of absorbed solar energy, which is a key factor in driving surface snow and ice melting. Satellite-retrieved snow albedo allows us to compare and optimise modelled albedo over the entirety of the ice sheet. We optimise the parameters of the albedo scheme in the ORCHIDEE (Organizing Carbon and Hydrology in Dynamic Ecosystems) land surface model for 3 random years taken over the 2000–2017 period and validate over the remaining years. In particular, we want to improve the albedo at the edges of the ice sheet, since they correspond to ablation areas and show the greatest variations in runoff and surface mass balance. By giving a larger weight to points at the ice sheet's edge, we improve the model–data fit by reducing the root-mean-square deviation by over 25 % for the whole ice sheet for the summer months. This improvement is consistent for all years, even those not used in the calibration step. We also show the optimisation successfully improves the model–data fit at 87.5 % of in situ sites from the PROMICE (Programme for Monitoring of the Greenland Ice Sheet) network. We conclude by showing which additional model outputs are impacted by changes to the albedo parameters, encouraging future work using multiple data streams when optimising these parameters. Article in Journal/Newspaper Greenland Ice Sheet The Cryosphere Directory of Open Access Journals: DOAJ Articles Greenland The Cryosphere 17 7 2705 2724 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 N. Raoult S. Charbit C. Dumas F. Maignan C. Ottlé V. Bastrikov Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Greenland ice sheet mass loss continues to accelerate as global temperatures increase. The surface albedo of the ice sheet determines the amount of absorbed solar energy, which is a key factor in driving surface snow and ice melting. Satellite-retrieved snow albedo allows us to compare and optimise modelled albedo over the entirety of the ice sheet. We optimise the parameters of the albedo scheme in the ORCHIDEE (Organizing Carbon and Hydrology in Dynamic Ecosystems) land surface model for 3 random years taken over the 2000–2017 period and validate over the remaining years. In particular, we want to improve the albedo at the edges of the ice sheet, since they correspond to ablation areas and show the greatest variations in runoff and surface mass balance. By giving a larger weight to points at the ice sheet's edge, we improve the model–data fit by reducing the root-mean-square deviation by over 25 % for the whole ice sheet for the summer months. This improvement is consistent for all years, even those not used in the calibration step. We also show the optimisation successfully improves the model–data fit at 87.5 % of in situ sites from the PROMICE (Programme for Monitoring of the Greenland Ice Sheet) network. We conclude by showing which additional model outputs are impacted by changes to the albedo parameters, encouraging future work using multiple data streams when optimising these parameters. |
format |
Article in Journal/Newspaper |
author |
N. Raoult S. Charbit C. Dumas F. Maignan C. Ottlé V. Bastrikov |
author_facet |
N. Raoult S. Charbit C. Dumas F. Maignan C. Ottlé V. Bastrikov |
author_sort |
N. Raoult |
title |
Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals |
title_short |
Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals |
title_full |
Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals |
title_fullStr |
Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals |
title_full_unstemmed |
Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals |
title_sort |
improving modelled albedo over the greenland ice sheet through parameter optimisation and modis snow albedo retrievals |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/tc-17-2705-2023 https://doaj.org/article/ae00aa0d3a004e0a8a2c30ade214997e |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet The Cryosphere |
genre_facet |
Greenland Ice Sheet The Cryosphere |
op_source |
The Cryosphere, Vol 17, Pp 2705-2724 (2023) |
op_relation |
https://tc.copernicus.org/articles/17/2705/2023/tc-17-2705-2023.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-17-2705-2023 1994-0416 1994-0424 https://doaj.org/article/ae00aa0d3a004e0a8a2c30ade214997e |
op_doi |
https://doi.org/10.5194/tc-17-2705-2023 |
container_title |
The Cryosphere |
container_volume |
17 |
container_issue |
7 |
container_start_page |
2705 |
op_container_end_page |
2724 |
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1772814902529884160 |