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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ftcopernicus:oai:publications.copernicus.org:gmd62447 2023-05-15T18:17:12+02:00 Assessing bias corrections of oceanic surface conditions for atmospheric models Beaumet, Julien Krinner, Gerhard Déqué, Michel Haarsma, Rein Li, Laurent 2019-01-21 application/pdf https://doi.org/10.5194/gmd-12-321-2019 https://gmd.copernicus.org/articles/12/321/2019/ eng eng doi:10.5194/gmd-12-321-2019 https://gmd.copernicus.org/articles/12/321/2019/ eISSN: 1991-9603 Text 2019 ftcopernicus https://doi.org/10.5194/gmd-12-321-2019 2020-07-20T16:22:58Z 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. Text Sea ice Copernicus Publications: E-Journals Geoscientific Model Development 12 1 321 342 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
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 |
Text |
author |
Beaumet, Julien Krinner, Gerhard Déqué, Michel Haarsma, Rein Li, Laurent |
spellingShingle |
Beaumet, Julien Krinner, Gerhard Déqué, Michel Haarsma, Rein Li, Laurent Assessing bias corrections of oceanic surface conditions for atmospheric models |
author_facet |
Beaumet, Julien Krinner, Gerhard Déqué, Michel Haarsma, Rein Li, Laurent |
author_sort |
Beaumet, Julien |
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 |
publishDate |
2019 |
url |
https://doi.org/10.5194/gmd-12-321-2019 https://gmd.copernicus.org/articles/12/321/2019/ |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
eISSN: 1991-9603 |
op_relation |
doi:10.5194/gmd-12-321-2019 https://gmd.copernicus.org/articles/12/321/2019/ |
op_doi |
https://doi.org/10.5194/gmd-12-321-2019 |
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Geoscientific Model Development |
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12 |
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1 |
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321 |
op_container_end_page |
342 |
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1766191278312128512 |