Lightning data assimilation in the WRF-ARW model for short-term rainfall forecasts of three severe storm cases in Italy Atmospheric Research
收藏NOAA Institutional Repository2024-03-19 更新2026-04-25 收录
下载链接：
https://doi.org/10.1016/j.atmosres.2020.105246
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资源简介：
This study analyses the impact of total lightning data assimilation on cloud-resolving short-term (3 and 6 h) precipitation forecasts of three heavy rainfall events that occurred recently in Italy by providing an evaluation of forecast skill using statistical scores for 3-hourly thresholds against observational data from a dense rain gauge network. The experiments are performed with two initial and boundary conditions datasets as a sensitivity test. The three rainfall events have been chosen to better represent the convective regime spectrum: from a short-lived and localised thunderstorm to a long-lived and widespread event, along with a case that had elements of both. Grant no. NA16NWS4680024 Grant no. NA18NWS4680063
提供机构：
NOAA
创建时间：
2024-03-19
