Articles | Volume 19, issue 17
https://doi.org/10.5194/gmd-19-8213-2026
https://doi.org/10.5194/gmd-19-8213-2026
Development and technical paper
 | 
07 Sep 2026
Development and technical paper |  | 07 Sep 2026

Development and testing of ensemble-variational data assimilation capabilities for radar data within JEDI coupled with FV3-LAM model

Jun Park, Chengsi Liu, and Ming Xue

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Cited articles

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Banos, I. H., Mayfield, W. D., Ge, G., Sapucci, L. F., Carley, J. R., and Nance, L.: Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study, Geosci. Model Dev., 15, 6891–6917, https://doi.org/10.5194/gmd-15-6891-2022, 2022. 
Bernardet, L., Bengtsson, L., Reinecke, P. A., Yang, F., Zhang, M., Hall, K., Doyle, J., Martini, M., Firl, G., and Xue, L.: Common Community Physics Package: Fostering collaborative development in physical parameterizations and suites, Bull. Am. Meteorol. Soc., 105, E1490–E1505, https://doi.org/10.1175/BAMS-D-23-0227.1, 2024. 
Bishop, C. H., Whitaker, J. S., and Lei, L.: Gain form of the ensemble transform Kalman filter and its relevance to satellite data assimilation with model space ensemble covariance localization, Mon. Weather Rev., 145, 4575–4592, https://doi.org/10.1175/MWR-D-17-0102.1, 2017. 
Brewster, K., Hu, M., Xue, M., and Gao, J.: Efficient assimilation of radar data at high resolution for short-range numerical weather prediction, in: World Weather Research Programme Symposium on Nowcasting and Very Short-Range Forecasting (WSN05), Toulouse, France, 5–9 September 2005, WMO, Symposium CD-ROM, Paper 3.06, https://twister.caps.ou.edu/papers/BrewsterWWRP_Nowcasting.pdf (last access: 2 September 2026), 2005. 
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Short summary
This study develops and tests new methods to improve weather forecasts by using radar observations within a modern data assimilation system called the Joint Effort for Data Assimilation Integration. The approach combines information from radar measurements and computer models to better describe storms. Tests with a major U.S. storm show improved prediction of rainfall and storm structure.
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