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Linearized Physics for Data Assimilation at ECMWF

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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

Abstract

A comprehensive set of linearized physical parameterizations has been developed for the global ECMWF Integrated Forecasting System. Implications of the linearity constraint for any parametrization scheme, such as the need for simplification and regularization, are discussed. The description of the methodology to develop linearized parameterizations highlights the complexity of obtaining a physics package that can be efficiently used in practical applications. The impact of the different physical processes on the tangent-linear approximation and adjoint sensitivities, as well as their performance in data assimilation are demonstrated.

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Notes

  1. 1.

    T159/T255 corresponding approximately to 130/80 km

  2. 2.

    T1279 corresponding approximately to 16 km

  3. 3.

    T511 corresponding approximately to 40 km

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Acknowledgements

The authors would like to thank Peter Bauer, Anton Beljaars and Jean-Noël Thépaut for their useful reviews of this paper. The anonymous reviewer is also acknowledged for reviewing the manuscript.

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Authors and Affiliations

  1. European Centre for Medium–Range Weather Forecasts, Shinfield Park, Reading, Berks, RG2 9AX, UK

    Marta Janisková & Philippe Lopez

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  1. Marta Janisková
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  2. Philippe Lopez
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Correspondence to Marta Janisková .

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Editors and Affiliations

  1. , Environmental Science and Engineering, Ewha Womans University, Ewhayeodae-gil, Seodaemun-gu 52, Seoul, 120-750, Korea, Republic of (South Korea)

    Seon Ki Park

  2. Naval Research Laboratory, Grace Hopper Ave. 7, Monterey, 93943-5502, California, USA

    Liang Xu

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Janisková, M., Lopez, P. (2013). Linearized Physics for Data Assimilation at ECMWF. In: Park, S., Xu, L. (eds) Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35088-7_11

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