Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: example of AWI-CM (AWI-CM-PDAF 1.0)

Nerger, Lars; Tang, Qi; Mu, Longjiang

doi:https://doi.org/10.5194/gmd-13-4305-2020

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.

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.

Data sets

Efficient ensemble data assim- ilation for coupled models with the Parallel Data Assimilation 110 Framework: Example of AWI-CM – output files and plot scripts Lars Nerger, Qi Tang, and Longjiang Mu https://doi.org/10.5281/zenodo.3823816

Model code and software

The PDAF model binding for AWI-CM (AWI-CM-PDAF version 1.0) Lars Nerger, Qi Tang, and Longjiang Mu https://doi.org/10.5281/zenodo.3822030

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.