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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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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.
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GMD | Articles | Volume 13, issue 9
GMD | Articles | Volume 13, issue 9
Geosci. Model Dev., 13, 4305–4321, 2020
https://doi.org/10.5194/gmd-13-4305-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 13, 4305–4321, 2020
https://doi.org/10.5194/gmd-13-4305-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
GMD | Articles | Volume 13, issue 9

Development and technical paper 16 Sep 2020

Development and technical paper | 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)

Lars Nerger et al.

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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.
Read more
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Geoscientific Model Development

An interactive open-access journal of the European Geosciences Union

All site content, except where otherwise noted, is licensed under the Creative Commons Attribution 4.0 License.
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