Articles | Volume 15, issue 5
Ocean Sci., 15, 1307–1326, 2019
https://doi.org/10.5194/os-15-1307-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue: The Copernicus Marine Environment Monitoring Service (CMEMS):...
Ocean Sci., 15, 1307–1326, 2019
https://doi.org/10.5194/os-15-1307-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
07 Oct 2019
Research article
| 07 Oct 2019
Assessment of ocean analysis and forecast from an atmosphere–ocean coupled data assimilation operational system
Catherine Guiavarc'h et al.
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Total article views: 1,723 (including HTML, PDF, and XML)
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Cited
12 citations as recorded by crossref.
- Implementation of an Adaptive Bias‐Aware Extended Kalman Filter for Sea‐Ice Data Assimilation in the HARMONIE‐AROME Numerical Weather Prediction System Y. Batrak 10.1029/2021MS002533
- Verification of eddy properties in operational oceanographic analysis systems G. Smith & A. Fortin 10.1016/j.ocemod.2022.101982
- 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
- Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review S. Zhang et al. 10.1007/s00382-020-05275-6
- Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part II: Weak and Strong Coupling R. Ménard et al. 10.3390/atmos10120798
- Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford 10.5194/bg-18-509-2021
- The impact of Argo observations in a global weakly coupled ocean–atmosphere data assimilation and short‐range prediction system R. King et al. 10.1002/qj.3682
- Improving the Met Office's Forecast Ocean Assimilation Model ( FOAM ) with the assimilation of satellite‐derived sea‐ice thickness data from CryoSat ‐2 and SMOS in the Arctic D. Mignac et al. 10.1002/qj.4252
- Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. Fiedler et al. 10.5194/tc-16-61-2022
- An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
- Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts M. Vellinga et al. 10.1175/WAF-D-20-0035.1
- Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. 10.1007/s40641-020-00162-y
12 citations as recorded by crossref.
- Implementation of an Adaptive Bias‐Aware Extended Kalman Filter for Sea‐Ice Data Assimilation in the HARMONIE‐AROME Numerical Weather Prediction System Y. Batrak 10.1029/2021MS002533
- Verification of eddy properties in operational oceanographic analysis systems G. Smith & A. Fortin 10.1016/j.ocemod.2022.101982
- 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
- Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review S. Zhang et al. 10.1007/s00382-020-05275-6
- Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part II: Weak and Strong Coupling R. Ménard et al. 10.3390/atmos10120798
- Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design D. Ford 10.5194/bg-18-509-2021
- The impact of Argo observations in a global weakly coupled ocean–atmosphere data assimilation and short‐range prediction system R. King et al. 10.1002/qj.3682
- Improving the Met Office's Forecast Ocean Assimilation Model ( FOAM ) with the assimilation of satellite‐derived sea‐ice thickness data from CryoSat ‐2 and SMOS in the Arctic D. Mignac et al. 10.1002/qj.4252
- Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. Fiedler et al. 10.5194/tc-16-61-2022
- An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
- Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts M. Vellinga et al. 10.1175/WAF-D-20-0035.1
- Should Sea-Ice Modeling Tools Designed for Climate Research Be Used for Short-Term Forecasting? E. Hunke et al. 10.1007/s40641-020-00162-y
Latest update: 26 Jan 2023
Short summary
Coupled atmosphere–ocean modelling systems allow changes in the ocean to directly and immediately feed back on the atmosphere and enable improved weather prediction and ocean forecasts. This is particularly true if the coupled feedbacks are also considered in the way real-time observations of the atmospheric and oceanic states are used to obtain the initial conditions for the forecasts. Here we demonstrate promising performance from such a coupled system when used for ocean prediction.
Coupled atmosphere–ocean modelling systems allow changes in the ocean to directly and...
