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Assimilation of global navigation satellite radio occultation observations in GRAPES: Operational implementation

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Abstract

This paper presents the design of an observation operator for assimilation of global navigation satellite system (GNSS) radio occultation (RO) refractivity and the related operational implementation strategy in the global GRAPES variational data assimilation system. A preliminary assessment of the RO data assimilation effect is performed. The results show that the RO data are one of the most important observation types in GRAPES, as they have a significant positive impact on the analysis and forecast at all ranges, especially in the Southern Hemisphere and the global stratosphere where in-situ measurements are lacking. The GRAPES model error cannot be controlled in the Southern Hemisphere without RO data being assimilated. In addition, it is found that the RO data play a key role in the stable running of the GRAPES global assimilation and forecast system. Even in a relatively simple global data assimilation experiment, in which only the conventional and RO data are assimilated, the system is able to run for more than nine months without drift compared with NCEP analyses. The analysis skills in both the Northern and Southern Hemispheres are still relatively comparable even after nine-month integration, especially in the stratosphere where the number of conventional observations decreases and RO observations with a uniform global coverage dominate gradually.

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Authors and Affiliations

  1. Numerical Weather Prediction Center, China Meteorology Administration, Beijing, 100081, China

    Yan Liu  (刘 艳)

  2. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorology Administration, Beijing, 100081, China

    Jishan Xue  (薛纪善)

Authors
  1. Yan Liu  (刘 艳)
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  2. Jishan Xue  (薛纪善)
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Correspondence to Yan Liu  (刘 艳).

Additional information

Supported by the National Natural Science Foundation of China (41075081) and China Meteorological Administration Special Public Welfare Research Fund (GYHY201106008 and GYHY201206007).

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Liu, Y., Xue, J. Assimilation of global navigation satellite radio occultation observations in GRAPES: Operational implementation. J Meteorol Res 28, 1061–1074 (2014). https://doi.org/10.1007/s13351-014-4028-0

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  • DOI: https://doi.org/10.1007/s13351-014-4028-0

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