Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4305-2020
© Author(s) 2020. 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-13-4305-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
16 Sep 2020
Development and technical paper |
| 16 Sep 2020
| 16 Sep 2020
Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: example of AWI-CM (AWI-CM-PDAF 1.0)
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Bremerhaven, Germany
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Bremerhaven, Germany
Longjiang Mu
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Bremerhaven, Germany
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- Strongly Coupled Data Assimilation of Ocean Observations Into an Ocean‐Atmosphere Model Q. Tang et al. 10.1029/2021GL094941
- Improving the estimation of thermospheric neutral density via two-step assimilation of in situ neutral density into a numerical model A. Corbin & J. Kusche 10.1186/s40623-022-01733-z
- Mitigating Model Error via a Multimodel Method and Application to Tropical Intraseasonal Oscillations J. Torchinsky & S. Stechmann 10.1137/22M152551X
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- 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
- An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018 C. Yang et al. 10.5194/gmd-15-1155-2022
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- Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review S. Zhang et al. 10.1007/s00382-020-05275-6
- 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
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Latest update: 02 Jul 2025
Short summary
Data assimilation combines observations with numerical models to get an improved estimate of the model state. This work discusses the technical aspects of how a coupled model that simulates the ocean and the atmosphere can be augmented by data assimilation functionality provided in generic form by the open-source software PDAF (Parallel Data Assimilation Framework). A very efficient program is obtained that can be executed on high-performance computers.
Data assimilation combines observations with numerical models to get an improved estimate of the...
