Assessing bias corrections of oceanic surface conditions for atmospheric models
Future sea surface temperature and sea-ice concentration from coupled ocean–atmosphere general circulation models such as those from the CMIP5 experiment are often used as boundary forcings for the downscaling of future climate experiments. Yet, these models show some considerable biases when compar...
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Online Access: | https://doi.org/10.5194/gmd-12-321-2019 https://doaj.org/article/661cc2ca1abe4a5c8eb6d3d1427ab9d4 |
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ftdoajarticles:oai:doaj.org/article:661cc2ca1abe4a5c8eb6d3d1427ab9d4 2023-05-15T18:17:12+02:00 Assessing bias corrections of oceanic surface conditions for atmospheric models J. Beaumet G. Krinner M. Déqué R. Haarsma L. Li 2019-01-01T00:00:00Z https://doi.org/10.5194/gmd-12-321-2019 https://doaj.org/article/661cc2ca1abe4a5c8eb6d3d1427ab9d4 EN eng Copernicus Publications https://www.geosci-model-dev.net/12/321/2019/gmd-12-321-2019.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-12-321-2019 1991-959X 1991-9603 https://doaj.org/article/661cc2ca1abe4a5c8eb6d3d1427ab9d4 Geoscientific Model Development, Vol 12, Pp 321-342 (2019) Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.5194/gmd-12-321-2019 2022-12-31T01:37:29Z Future sea surface temperature and sea-ice concentration from coupled ocean–atmosphere general circulation models such as those from the CMIP5 experiment are often used as boundary forcings for the downscaling of future climate experiments. Yet, these models show some considerable biases when compared to the observations over present climate. In this paper, existing methods such as an absolute anomaly method and a quantile–quantile method for sea surface temperature (SST) as well as a look-up table and a relative anomaly method for sea-ice concentration (SIC) are presented. For SIC, we also propose a new analogue method. Each method is objectively evaluated with a perfect model test using CMIP5 model experiments and some real-case applications using observations. We find that with respect to other previously existing methods, the analogue method is a substantial improvement for the bias correction of future SIC. Consistency between the constructed SST and SIC fields is an important constraint to consider, as is consistency between the prescribed sea-ice concentration and thickness; we show that the latter can be ensured by using a simple parameterisation of sea-ice thickness as a function of instantaneous and annual minimum SIC. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 12 1 321 342 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 J. Beaumet G. Krinner M. Déqué R. Haarsma L. Li Assessing bias corrections of oceanic surface conditions for atmospheric models |
topic_facet |
Geology QE1-996.5 |
description |
Future sea surface temperature and sea-ice concentration from coupled ocean–atmosphere general circulation models such as those from the CMIP5 experiment are often used as boundary forcings for the downscaling of future climate experiments. Yet, these models show some considerable biases when compared to the observations over present climate. In this paper, existing methods such as an absolute anomaly method and a quantile–quantile method for sea surface temperature (SST) as well as a look-up table and a relative anomaly method for sea-ice concentration (SIC) are presented. For SIC, we also propose a new analogue method. Each method is objectively evaluated with a perfect model test using CMIP5 model experiments and some real-case applications using observations. We find that with respect to other previously existing methods, the analogue method is a substantial improvement for the bias correction of future SIC. Consistency between the constructed SST and SIC fields is an important constraint to consider, as is consistency between the prescribed sea-ice concentration and thickness; we show that the latter can be ensured by using a simple parameterisation of sea-ice thickness as a function of instantaneous and annual minimum SIC. |
format |
Article in Journal/Newspaper |
author |
J. Beaumet G. Krinner M. Déqué R. Haarsma L. Li |
author_facet |
J. Beaumet G. Krinner M. Déqué R. Haarsma L. Li |
author_sort |
J. Beaumet |
title |
Assessing bias corrections of oceanic surface conditions for atmospheric models |
title_short |
Assessing bias corrections of oceanic surface conditions for atmospheric models |
title_full |
Assessing bias corrections of oceanic surface conditions for atmospheric models |
title_fullStr |
Assessing bias corrections of oceanic surface conditions for atmospheric models |
title_full_unstemmed |
Assessing bias corrections of oceanic surface conditions for atmospheric models |
title_sort |
assessing bias corrections of oceanic surface conditions for atmospheric models |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/gmd-12-321-2019 https://doaj.org/article/661cc2ca1abe4a5c8eb6d3d1427ab9d4 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Geoscientific Model Development, Vol 12, Pp 321-342 (2019) |
op_relation |
https://www.geosci-model-dev.net/12/321/2019/gmd-12-321-2019.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-12-321-2019 1991-959X 1991-9603 https://doaj.org/article/661cc2ca1abe4a5c8eb6d3d1427ab9d4 |
op_doi |
https://doi.org/10.5194/gmd-12-321-2019 |
container_title |
Geoscientific Model Development |
container_volume |
12 |
container_issue |
1 |
container_start_page |
321 |
op_container_end_page |
342 |
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1766191279641722880 |