Articles | Volume 25, issue 10
https://doi.org/10.5194/nhess-25-3905-2025
https://doi.org/10.5194/nhess-25-3905-2025
Research article
 | 
13 Oct 2025
Research article |  | 13 Oct 2025

Indirect assimilation of radar reflectivity data with an adaptive hydrometer retrieval scheme for severe short-term weather forecasts

Lixin Song, Feifei Shen, Zhixin He, Lu Yang, Dongmei Xu, Aiqing Shu, and Jiajun Chen

Data sets

CEP GFS 0.25 Degree Global Forecast Grids Historical Archive National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce https://doi.org/10.5065/D65D8PWK

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Short summary
When retrieving hydrometeors from reflectivity, there are two methods to allocate hydrometeor types: temperature-based and background hydrometer-dependent schemes. The temperature-based method divides hydrometeor proportions based on the background temperature, while the other scheme calculates average weights of each hydrometeor in various reflectivity intervals from background fields. The blending scheme adaptively combines these methods and is found to improve precipitation forecast accuracy.
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