Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2020.105246 |
Lightning data assimilation in the WRF-ARW model for short-term rainfall forecasts of three severe storm cases in Italy | |
Albert Comellas Prat, Stefano Federico, Rosa Claudia Torcasio, Alex O. Fierro, Stefano Dietrich | |
2020-09-06 | |
发表期刊 | Atmospheric Research
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出版年 | 2020 |
英文摘要 | 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. This analysis illustrates the ability of the lightning data assimilation (LDA) to notably improve the short-term rainfall forecasts with respect to control simulations without LDA. The assimilation of lightning enhances the representation of convection in the model and translates into a better spatiotemporal positioning of the storm systems. The results of the statistical scores reveal that simulations with LDA always improve the probability of detection, particularly for rainfall thresholds exceeding 40 mm/3 h. The false alarm ratio also improves but appears to be more sensitive to the model initial and boundary conditions. Overall, these results show a systematic advantage of the LDA with a 3-h forecast range over 6-h. |
领域 | 地球科学 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/292977 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Albert Comellas Prat, Stefano Federico, Rosa Claudia Torcasio, Alex O. Fierro, Stefano Dietrich. Lightning data assimilation in the WRF-ARW model for short-term rainfall forecasts of three severe storm cases in Italy[J]. Atmospheric Research,2020. |
APA | Albert Comellas Prat, Stefano Federico, Rosa Claudia Torcasio, Alex O. Fierro, Stefano Dietrich.(2020).Lightning data assimilation in the WRF-ARW model for short-term rainfall forecasts of three severe storm cases in Italy.Atmospheric Research. |
MLA | Albert Comellas Prat, Stefano Federico, Rosa Claudia Torcasio, Alex O. Fierro, Stefano Dietrich."Lightning data assimilation in the WRF-ARW model for short-term rainfall forecasts of three severe storm cases in Italy".Atmospheric Research (2020). |
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