Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1)
A fully coupled atmosphere–ocean–ice model has been used to produce global weather forecasts at Environment and Climate Change Canada (ECCC) since November 2017. Currently, the system relies on four uncoupled data assimilation (DA) components for initializing the fully coupled global atmosphere–ocea...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00049698 2023-05-15T18:18:30+02:00 Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1) Skachko, Sergey Buehner, Mark Laroche, Stéphane Lapalme, Ervig Smith, Gregory Roy, François Surcel-Colan, Dorina Bélanger, Jean-Marc Garand, Louis 2019-12 electronic https://doi.org/10.5194/gmd-12-5097-2019 https://noa.gwlb.de/receive/cop_mods_00049698 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00049317/gmd-12-5097-2019.pdf https://gmd.copernicus.org/articles/12/5097/2019/gmd-12-5097-2019.pdf eng eng Copernicus Publications Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-12-5097-2019 https://noa.gwlb.de/receive/cop_mods_00049698 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00049317/gmd-12-5097-2019.pdf https://gmd.copernicus.org/articles/12/5097/2019/gmd-12-5097-2019.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2019 ftnonlinearchiv https://doi.org/10.5194/gmd-12-5097-2019 2022-02-08T22:37:13Z A fully coupled atmosphere–ocean–ice model has been used to produce global weather forecasts at Environment and Climate Change Canada (ECCC) since November 2017. Currently, the system relies on four uncoupled data assimilation (DA) components for initializing the fully coupled global atmosphere–ocean–ice forecast model: atmosphere, ocean, sea ice and sea surface temperature (SST). The goal of the present study is to implement a weakly coupled data assimilation (WCDA) between the atmosphere and ocean components and evaluate its performance against uncoupled DA. The WCDA system uses coupled atmosphere–ocean–ice short-term forecasts as background states for the atmospheric and the ocean DA components that independently compute atmospheric and ocean analyses. This system leads to better agreement between the coupled atmosphere–ocean analyses and the coupled atmosphere–ocean–ice forecasts than between the uncoupled analyses and the coupled forecasts. The use of WCDA improves the atmospheric forecast score near the surface, but a slight increase in the atmospheric temperature bias is observed. A small positive impact from using the short-term SST forecast on the satellite radiance observation-minus-forecast statistics is noted. Ocean temperature and salinity forecasts are also improved near the surface. The next steps toward stronger DA coupling are highlighted. Article in Journal/Newspaper Sea ice Niedersächsisches Online-Archiv NOA Canada Geoscientific Model Development 12 12 5097 5112 |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Skachko, Sergey Buehner, Mark Laroche, Stéphane Lapalme, Ervig Smith, Gregory Roy, François Surcel-Colan, Dorina Bélanger, Jean-Marc Garand, Louis Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1) |
topic_facet |
article Verlagsveröffentlichung |
description |
A fully coupled atmosphere–ocean–ice model has been used to produce global weather forecasts at Environment and Climate Change Canada (ECCC) since November 2017. Currently, the system relies on four uncoupled data assimilation (DA) components for initializing the fully coupled global atmosphere–ocean–ice forecast model: atmosphere, ocean, sea ice and sea surface temperature (SST). The goal of the present study is to implement a weakly coupled data assimilation (WCDA) between the atmosphere and ocean components and evaluate its performance against uncoupled DA. The WCDA system uses coupled atmosphere–ocean–ice short-term forecasts as background states for the atmospheric and the ocean DA components that independently compute atmospheric and ocean analyses. This system leads to better agreement between the coupled atmosphere–ocean analyses and the coupled atmosphere–ocean–ice forecasts than between the uncoupled analyses and the coupled forecasts. The use of WCDA improves the atmospheric forecast score near the surface, but a slight increase in the atmospheric temperature bias is observed. A small positive impact from using the short-term SST forecast on the satellite radiance observation-minus-forecast statistics is noted. Ocean temperature and salinity forecasts are also improved near the surface. The next steps toward stronger DA coupling are highlighted. |
format |
Article in Journal/Newspaper |
author |
Skachko, Sergey Buehner, Mark Laroche, Stéphane Lapalme, Ervig Smith, Gregory Roy, François Surcel-Colan, Dorina Bélanger, Jean-Marc Garand, Louis |
author_facet |
Skachko, Sergey Buehner, Mark Laroche, Stéphane Lapalme, Ervig Smith, Gregory Roy, François Surcel-Colan, Dorina Bélanger, Jean-Marc Garand, Louis |
author_sort |
Skachko, Sergey |
title |
Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1) |
title_short |
Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1) |
title_full |
Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1) |
title_fullStr |
Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1) |
title_full_unstemmed |
Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1) |
title_sort |
weakly coupled atmosphere–ocean data assimilation in the canadian global prediction system (v1) |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/gmd-12-5097-2019 https://noa.gwlb.de/receive/cop_mods_00049698 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00049317/gmd-12-5097-2019.pdf https://gmd.copernicus.org/articles/12/5097/2019/gmd-12-5097-2019.pdf |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603 https://doi.org/10.5194/gmd-12-5097-2019 https://noa.gwlb.de/receive/cop_mods_00049698 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00049317/gmd-12-5097-2019.pdf https://gmd.copernicus.org/articles/12/5097/2019/gmd-12-5097-2019.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/gmd-12-5097-2019 |
container_title |
Geoscientific Model Development |
container_volume |
12 |
container_issue |
12 |
container_start_page |
5097 |
op_container_end_page |
5112 |
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1766195100831973376 |