Articles | Volume 14, issue 5
Geosci. Model Dev., 14, 2635–2657, 2021
https://doi.org/10.5194/gmd-14-2635-2021

Special issue: Model infrastructure integration and interoperability (MI3)

Geosci. Model Dev., 14, 2635–2657, 2021
https://doi.org/10.5194/gmd-14-2635-2021

Development and technical paper 12 May 2021

Development and technical paper | 12 May 2021

Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0

Chao Sun et al.

Model code and software

ChaoSun14/DAFCC: First release of DAFCC (Version v1.0) ChaoSun14 https://doi.org/10.5281/zenodo.3739729

ChaoSun14/Sample_DA_system_with_DAFCC1: Sample_DA_system_with_DAFCC1 (Version v1.0) ChaoSun14 https://doi.org/10.5281/zenodo.3774710

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Short summary
Data assimilation (DA) provides better initial states of model runs by combining observations and models. This work focuses on the technical challenges in developing a coupled ensemble-based DA system and proposes a new DA framework DAFCC1 based on C-Coupler2. DAFCC1 enables users to conveniently integrate a DA method into a model with automatic and efficient data exchanges. A sample DA system that combines GSI/EnKF and FIO-AOW demonstrates the effectiveness of DAFCC1.