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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) pp 55–70Cite as

Data Assimilation for Coupled Modeling Systems

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Abstract

Coupled numerical models address the interaction between processes in the atmosphere, ocean, land surface, biosphere, chemistry, cryosphere, and hydrology. Including interaction between such processes can potentially extend the predictability and eventually help in reducing the uncertainty of the prediction. Coupled data assimilation is a branch of data assimilation that deals with coupled modeling systems . In this article the fundamentals of coupled data assimilation are described. Challenges of coupled data assimilation are addressed in terms of the variational and ensemble methods , with implications for hybrid data assimilation methods. Several illustrative examples of coupled data assimilation of a single observation with realistic regional coupled modeling systems are included as well.

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Acknowledgements

The author gratefully acknowledges support from the NASA Modeling, Analysis, and Prediction (MAP) Program Grant NNX13AO10G, the NASA Precipitation Measurement Mission (PMM) Program Grant NNX10AG92G, and the National Science Foundation Collaboration in Mathematical Geosciences Grant 0930265. The author would also like to acknowledge the computational support of NASA Advanced Supercomputing (NAS), and extend gratitude to the computing support from Yellowstone provided by NCAR’s Computational and Information System Laboratory, sponsored by the National Science Foundation.

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Authors and Affiliations

  1. Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, 80523-1375, USA

    Milija Županski

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  1. Milija Županski
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Correspondence to Milija Županski .

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Editors and Affiliations

  1. Environmental Science and Engineering, Ewha Womans University, Seoul, Korea (Republic of)

    Seon Ki Park

  2. Marine Meteorology Division, Naval Research Laboratory, Monterey, California, USA

    Liang Xu

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Županski, M. (2017). Data Assimilation for Coupled Modeling Systems. In: Park, S., Xu, L. (eds) Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III). Springer, Cham. https://doi.org/10.1007/978-3-319-43415-5_2

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