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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Published in:Geoscientific Model Development
Main Authors: Skachko, Sergey, Buehner, Mark, Laroche, Stéphane, Lapalme, Ervig, Smith, Gregory, Roy, François, Surcel-Colan, Dorina, Bélanger, Jean-Marc, Garand, Louis
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2019
Subjects:
Online Access:https://doi.org/10.5194/gmd-12-5097-2019
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spelling 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
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle 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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