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Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM
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| Zeitschriftentitel: | Journal of Advances in Modeling Earth Systems |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | Journal of Advances in Modeling Earth Systems, 11, 2019, 1, S. 64-82 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
American Geophysical Union (AGU)
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| Schlagwörter: |
| author_facet |
Krinner, Gerhard Beaumet, Julien Favier, Vincent Déqué, Michel Brutel‐Vuilmet, Claire Krinner, Gerhard Beaumet, Julien Favier, Vincent Déqué, Michel Brutel‐Vuilmet, Claire |
|---|---|
| author |
Krinner, Gerhard Beaumet, Julien Favier, Vincent Déqué, Michel Brutel‐Vuilmet, Claire |
| spellingShingle |
Krinner, Gerhard Beaumet, Julien Favier, Vincent Déqué, Michel Brutel‐Vuilmet, Claire Journal of Advances in Modeling Earth Systems Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change |
| author_sort |
krinner, gerhard |
| spelling |
Krinner, Gerhard Beaumet, Julien Favier, Vincent Déqué, Michel Brutel‐Vuilmet, Claire 1942-2466 1942-2466 American Geophysical Union (AGU) General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1029/2018ms001438 <jats:title>Abstract</jats:title><jats:p>This work presents snapshot simulations of the late 20th and late 21st century Antarctic climate under the RCP8.5 scenario carried out with an empirically bias‐corrected global atmospheric general circulation model (AGCM), forced with bias‐corrected sea‐surface temperatures and sea ice and run with about 100‐km resolution over Antarctica. The bias correction substantially improves the simulated mean late 20th century climate. The simulated atmospheric circulation of the bias‐corrected model compares very favorably to the best available AMIP (Atmospheric Model Intercomparison Project)‐type climate models. The simulated interannual circulation variability is improved by the bias correction. Depending on the metric, a slight improvement or degradation is found in the simulated variability on synoptic timescales. The simulated climate change over the 21st century is broadly similar in the corrected and uncorrected versions of the atmospheric model, and atmospheric circulation patterns are not geographically “pinned” by the applied bias correction. These results suggest that the method presented here can be used for bias‐corrected climate projections. Finally, the authors discuss different possible choices in terms of the place of bias corrections and other intermediate steps in the modeling chain leading from global coupled climate simulations to impact assessment.</jats:p> Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM Journal of Advances in Modeling Earth Systems |
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10.1029/2018ms001438 |
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Journal of Advances in Modeling Earth Systems |
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| title |
Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_unstemmed |
Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_full |
Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_fullStr |
Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_full_unstemmed |
Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_short |
Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_sort |
empirical run‐time bias correction for antarctic regional climate projections with a stretched‐grid agcm |
| topic |
General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change |
| url |
http://dx.doi.org/10.1029/2018ms001438 |
| publishDate |
2019 |
| physical |
64-82 |
| description |
<jats:title>Abstract</jats:title><jats:p>This work presents snapshot simulations of the late 20th and late 21st century Antarctic climate under the RCP8.5 scenario carried out with an empirically bias‐corrected global atmospheric general circulation model (AGCM), forced with bias‐corrected sea‐surface temperatures and sea ice and run with about 100‐km resolution over Antarctica. The bias correction substantially improves the simulated mean late 20th century climate. The simulated atmospheric circulation of the bias‐corrected model compares very favorably to the best available AMIP (Atmospheric Model Intercomparison Project)‐type climate models. The simulated interannual circulation variability is improved by the bias correction. Depending on the metric, a slight improvement or degradation is found in the simulated variability on synoptic timescales. The simulated climate change over the 21st century is broadly similar in the corrected and uncorrected versions of the atmospheric model, and atmospheric circulation patterns are not geographically “pinned” by the applied bias correction. These results suggest that the method presented here can be used for bias‐corrected climate projections. Finally, the authors discuss different possible choices in terms of the place of bias corrections and other intermediate steps in the modeling chain leading from global coupled climate simulations to impact assessment.</jats:p> |
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| author | Krinner, Gerhard, Beaumet, Julien, Favier, Vincent, Déqué, Michel, Brutel‐Vuilmet, Claire |
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| description | <jats:title>Abstract</jats:title><jats:p>This work presents snapshot simulations of the late 20th and late 21st century Antarctic climate under the RCP8.5 scenario carried out with an empirically bias‐corrected global atmospheric general circulation model (AGCM), forced with bias‐corrected sea‐surface temperatures and sea ice and run with about 100‐km resolution over Antarctica. The bias correction substantially improves the simulated mean late 20th century climate. The simulated atmospheric circulation of the bias‐corrected model compares very favorably to the best available AMIP (Atmospheric Model Intercomparison Project)‐type climate models. The simulated interannual circulation variability is improved by the bias correction. Depending on the metric, a slight improvement or degradation is found in the simulated variability on synoptic timescales. The simulated climate change over the 21st century is broadly similar in the corrected and uncorrected versions of the atmospheric model, and atmospheric circulation patterns are not geographically “pinned” by the applied bias correction. These results suggest that the method presented here can be used for bias‐corrected climate projections. Finally, the authors discuss different possible choices in terms of the place of bias corrections and other intermediate steps in the modeling chain leading from global coupled climate simulations to impact assessment.</jats:p> |
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| physical | 64-82 |
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| spelling | Krinner, Gerhard Beaumet, Julien Favier, Vincent Déqué, Michel Brutel‐Vuilmet, Claire 1942-2466 1942-2466 American Geophysical Union (AGU) General Earth and Planetary Sciences Environmental Chemistry Global and Planetary Change http://dx.doi.org/10.1029/2018ms001438 <jats:title>Abstract</jats:title><jats:p>This work presents snapshot simulations of the late 20th and late 21st century Antarctic climate under the RCP8.5 scenario carried out with an empirically bias‐corrected global atmospheric general circulation model (AGCM), forced with bias‐corrected sea‐surface temperatures and sea ice and run with about 100‐km resolution over Antarctica. The bias correction substantially improves the simulated mean late 20th century climate. The simulated atmospheric circulation of the bias‐corrected model compares very favorably to the best available AMIP (Atmospheric Model Intercomparison Project)‐type climate models. The simulated interannual circulation variability is improved by the bias correction. Depending on the metric, a slight improvement or degradation is found in the simulated variability on synoptic timescales. The simulated climate change over the 21st century is broadly similar in the corrected and uncorrected versions of the atmospheric model, and atmospheric circulation patterns are not geographically “pinned” by the applied bias correction. These results suggest that the method presented here can be used for bias‐corrected climate projections. Finally, the authors discuss different possible choices in terms of the place of bias corrections and other intermediate steps in the modeling chain leading from global coupled climate simulations to impact assessment.</jats:p> Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM Journal of Advances in Modeling Earth Systems |
| spellingShingle | Krinner, Gerhard, Beaumet, Julien, Favier, Vincent, Déqué, Michel, Brutel‐Vuilmet, Claire, Journal of Advances in Modeling Earth Systems, Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM, General Earth and Planetary Sciences, Environmental Chemistry, Global and Planetary Change |
| title | Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_full | Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_fullStr | Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_full_unstemmed | Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_short | Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| title_sort | empirical run‐time bias correction for antarctic regional climate projections with a stretched‐grid agcm |
| title_unstemmed | Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM |
| topic | General Earth and Planetary Sciences, Environmental Chemistry, Global and Planetary Change |
| url | http://dx.doi.org/10.1029/2018ms001438 |