Articles | Volume 12, issue 12
https://doi.org/10.5194/gmd-12-5097-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-5097-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
05 Dec 2019
Development and technical paper |
| 05 Dec 2019
| 05 Dec 2019
Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1)
Data Assimilation and Satellite Meteorology Section, Meteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, Canada
Mark Buehner
Data Assimilation and Satellite Meteorology Section, Meteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, Canada
Stéphane Laroche
Data Assimilation and Satellite Meteorology Section, Meteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, Canada
Ervig Lapalme
National Prediction Development Division, Meteorological Service of Canada, Environment and Climate Change Canada, Dorval, Quebec, Canada
Gregory Smith
Environmental Numerical Prediction Research Section, Meteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, Canada
François Roy
Environmental Numerical Prediction Research Section, Meteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, Canada
Dorina Surcel-Colan
National Prediction Development Division, Meteorological Service of Canada, Environment and Climate Change Canada, Dorval, Quebec, Canada
Jean-Marc Bélanger
Environmental Numerical Prediction Research Section, Meteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, Canada
Louis Garand
Data Assimilation and Satellite Meteorology Section, Meteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, Canada
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Cited
12 citations as recorded by crossref.
- Improving the ocean and atmosphere in a coupled ocean–atmosphere model by assimilating satellite sea‐surface temperature and subsurface profile data Q. Tang et al. 10.1002/qj.3885
- Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts M. Vellinga et al. 10.1175/WAF-D-20-0035.1
- Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part II: Weak and Strong Coupling R. Ménard et al. 10.3390/atmos10120798
- A fully coupled Arctic sea-ice–ocean–atmosphere model (ArcIOAM v1.0) based on C-Coupler2: model description and preliminary results S. Ren et al. 10.5194/gmd-14-1101-2021
- Exploring the influence of spatio-temporal scale differences in coupled data assimilation L. Garcia-Oliva et al. 10.5194/npg-32-439-2025
- Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. 10.1029/2022MS003176
- Assimilation of RCM data in the Canadian ice concentration analysis system A. Komarov et al. 10.1016/j.rse.2024.114113
- Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0 C. Sun et al. 10.5194/gmd-14-2635-2021
- A new global daily sea‐surface temperature analysis system at Environment and Climate Change Canada S. Skachko et al. 10.1002/qj.4796
- An online ensemble coupled data assimilation capability for the Community Earth System Model: system design and evaluation J. Sun et al. 10.5194/gmd-15-4805-2022
- The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) M. Buehner et al. 10.5194/gmd-18-1-2025
- Relieving seawater intrusion and soil salinization in coastal sponge cities: An integrated approach for optimizing the rainfall infiltration thresholds X. Wang et al. 10.1016/j.envres.2025.121167
12 citations as recorded by crossref.
- Improving the ocean and atmosphere in a coupled ocean–atmosphere model by assimilating satellite sea‐surface temperature and subsurface profile data Q. Tang et al. 10.1002/qj.3885
- Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts M. Vellinga et al. 10.1175/WAF-D-20-0035.1
- Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part II: Weak and Strong Coupling R. Ménard et al. 10.3390/atmos10120798
- A fully coupled Arctic sea-ice–ocean–atmosphere model (ArcIOAM v1.0) based on C-Coupler2: model description and preliminary results S. Ren et al. 10.5194/gmd-14-1101-2021
- Exploring the influence of spatio-temporal scale differences in coupled data assimilation L. Garcia-Oliva et al. 10.5194/npg-32-439-2025
- Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. 10.1029/2022MS003176
- Assimilation of RCM data in the Canadian ice concentration analysis system A. Komarov et al. 10.1016/j.rse.2024.114113
- Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0 C. Sun et al. 10.5194/gmd-14-2635-2021
- A new global daily sea‐surface temperature analysis system at Environment and Climate Change Canada S. Skachko et al. 10.1002/qj.4796
- An online ensemble coupled data assimilation capability for the Community Earth System Model: system design and evaluation J. Sun et al. 10.5194/gmd-15-4805-2022
- The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) M. Buehner et al. 10.5194/gmd-18-1-2025
- Relieving seawater intrusion and soil salinization in coastal sponge cities: An integrated approach for optimizing the rainfall infiltration thresholds X. Wang et al. 10.1016/j.envres.2025.121167
Latest update: 03 Nov 2025
Short summary
The study presents a weakly coupled atmosphere–ocean data assimilation system that uses coupled atmosphere–ocean–ice short-term forecasts as background states for atmospheric and ocean systems that independently compute atmospheric and ocean analyses. This system leads to better agreement between the coupled atmosphere–ocean analyses and coupled forecasts that have been used operationally for the last year.
The study presents a weakly coupled atmosphere–ocean data assimilation system that uses coupled...
