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Use of incremental analysis updates in 4D-Var data assimilation

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Abstract

The four-dimensional variational (4D-Var) data assimilation systems used in most operational and research centers use initial condition increments as control variables and adjust initial increments to find optimal analysis solutions. This approach may sometimes create discontinuities in analysis fields and produce undesirable spin ups and spin downs. This study explores using incremental analysis updates (IAU) in 4D-Var to reduce the analysis discontinuities. IAU-based 4D-Var has almost the same mathematical formula as conventional 4D-Var if the initial condition increments are replaced with time-integrated increments as control variables.

The IAU technique was implemented in the NASA/GSFC 4D-Var prototype and compared against a control run without IAU. The results showed that the initial precipitation spikes were removed and that other discontinuities were also reduced, especially for the analysis of surface temperature.

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Authors and Affiliations

  1. I.M. System Group, Inc., College Park, MD, 20740, USA

    Banglin Zhang & Jason Sippel

  2. NOAA NCEP Environmental Modeling Center, College Park, MD, 20740, USA

    Banglin Zhang, Vijay Tallapragada & Jason Sippel

  3. NOAA Center for Satellite Applications and Research, College Park, MD, 20740, USA

    Fuzhong Weng

  4. Joint Center for Satellite Data Assimilation, College Park, MD, 20740, USA

    Zaizhong Ma

Authors
  1. Banglin Zhang
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  2. Vijay Tallapragada
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  3. Fuzhong Weng
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  4. Jason Sippel
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  5. Zaizhong Ma
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Correspondence to Banglin Zhang.

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Zhang, B., Tallapragada, V., Weng, F. et al. Use of incremental analysis updates in 4D-Var data assimilation. Adv. Atmos. Sci. 32, 1575–1582 (2015). https://doi.org/10.1007/s00376-015-5041-7

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  • DOI: https://doi.org/10.1007/s00376-015-5041-7

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