Impact of multiple radar wind profiler data assimilation  on convective-scale short-term rainfall forecasts: OSSE  studies over the Beijing–Tianjin–Hebei region

Zhao, Juan; Guo, Jianping; Zheng, Xiaohui

doi:https://doi.org/10.5194/gmd-18-4075-2025

Articles | Volume 18, issue 13

https://doi.org/10.5194/gmd-18-4075-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-4075-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 13

Development and technical paper

|

04 Jul 2025

Development and technical paper |

| 04 Jul 2025

Impact of multiple radar wind profiler data assimilation on convective-scale short-term rainfall forecasts: OSSE studies over the Beijing–Tianjin–Hebei region

Juan Zhao, Jianping Guo, and Xiaohui Zheng

Data sets

WRF model and the input ERA5 reanalysis and GFS forecast data J. Zhao https://doi.org/10.5281/zenodo.14321805

Interactive computing environment

Namelist files for WRF and the assimialtion system J. Zhao https://doi.org/10.5281/zenodo.14241597

Short summary

A series of observing system simulation experiments are conducted to assess the impact of multiple radar wind profiler (RWP) networks on convective-scale numerical weather prediction. Results from three southwest-type heavy rainfall cases in the Beijing–Tianjin–Hebei region suggest the added forecast skill of ridge and foothill networks associated with the Taihang Mountains over the existing RWP network. This research provides valuable guidance for designing optimal RWP networks in the region.