Articles | Volume 15, issue 5
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.
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
| 07 Oct 2019
Assessment of ocean analysis and forecast from an atmosphere–ocean coupled data assimilation operational system
Catherine Guiavarc'h
Met Office, FitzRoy Road, EX1 3PB, Exeter, UK
Jonah Roberts-Jones
Met Office, FitzRoy Road, EX1 3PB, Exeter, UK
Chris Harris
CORRESPONDING AUTHOR
Met Office, FitzRoy Road, EX1 3PB, Exeter, UK
Daniel J. Lea
Met Office, FitzRoy Road, EX1 3PB, Exeter, UK
Andrew Ryan
Met Office, FitzRoy Road, EX1 3PB, Exeter, UK
Isabella Ascione
Met Office, FitzRoy Road, EX1 3PB, Exeter, UK
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Cited
17 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
- Assessing the impact of future altimeter constellations in the Met Office global ocean forecasting system R. King et al. 10.5194/os-20-1657-2024
- 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
- The MOSAiC Distributed Network: Observing the coupled Arctic system with multidisciplinary, coordinated platforms B. Rabe et al. 10.1525/elementa.2023.00103
- 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
- Improvements to the Met Office's global ocean–sea ice forecasting system including model and data assimilation changes D. Mignac et al. 10.5194/gmd-18-3405-2025
- 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
- A regional NEMO 4.0 configuration of the subpolar North Atlantic P. Verezemskaya et al. 10.1016/j.ocemod.2024.102457
- 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
- Understanding sources of Northern Hemisphere uncertainty and forecast error in a medium‐range coupled ensemble sea‐ice prediction system K. Peterson et al. 10.1002/qj.4340
- 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
- An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
- Verification and intercomparison of global ocean Eulerian near-surface currents S. Aijaz et al. 10.1016/j.ocemod.2023.102241
- Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts M. Vellinga et al. 10.1175/WAF-D-20-0035.1
17 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
- Assessing the impact of future altimeter constellations in the Met Office global ocean forecasting system R. King et al. 10.5194/os-20-1657-2024
- 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
- The MOSAiC Distributed Network: Observing the coupled Arctic system with multidisciplinary, coordinated platforms B. Rabe et al. 10.1525/elementa.2023.00103
- 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
- Improvements to the Met Office's global ocean–sea ice forecasting system including model and data assimilation changes D. Mignac et al. 10.5194/gmd-18-3405-2025
- 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
- A regional NEMO 4.0 configuration of the subpolar North Atlantic P. Verezemskaya et al. 10.1016/j.ocemod.2024.102457
- 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
- Understanding sources of Northern Hemisphere uncertainty and forecast error in a medium‐range coupled ensemble sea‐ice prediction system K. Peterson et al. 10.1002/qj.4340
- 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
- An Evaluation of the Performance of Sea Ice Thickness Forecasts to Support Arctic Marine Transport T. Bilge et al. 10.3390/jmse10020265
- Verification and intercomparison of global ocean Eulerian near-surface currents S. Aijaz et al. 10.1016/j.ocemod.2023.102241
- Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts M. Vellinga et al. 10.1175/WAF-D-20-0035.1
Latest update: 05 Jul 2025
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...
