DOI: 10.1016/j.atmosres.2019.02.013
Scopus记录号: 2-s2.0-85062322778
论文题名: Modeling lightning density using cloud top parameters
作者: Karagiannidis A. ; Lagouvardos K. ; Lykoudis S. ; Kotroni V. ; Giannaros T. ; Betz H.-D.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2019
卷: 222 起始页码: 163
结束页码: 171
语种: 英语
英文关键词: Convective cloud tops
; Europe
; Lightning density
; LINET
; NWC SAF
Scopus关键词: Clouds
; Lightning
; Parameterization
; Convective clouds
; Europe
; Lightning density
; LINET
; NWC SAF
; Parameter estimation
英文摘要: The Price-Rind 92 parameterization (Price and Rind, 1992) that utilizes cloud top height as predictor for the estimation of lightning density is widely used by modelers in an attempt to forecast electrical activity in thunderstorms. In the present paper new parameterizations for the estimation of lightning density of convective clouds are formulated. LINET lightning data, NWC SAF (Satellite Application Facility on support to Nowcasting and Very Short-Range Forecasting) products and ERA-Interim (ECMWF-Re Analysis) data, covering the summer of 2016 over continental Europe, are used. The proposed models estimate the lightning density of convective clouds, using cloud top height, cloud top pressure and cold cloud depth as predictors. Model efficiency statistics calculated over an independent dataset, suggest that the proposed models can be considered successful over the specific area (continental Europe) and period (summer). The new cloud top height model differs from the PR92 and other parameterizations, which is not an unexpected result, since every model has its own characteristics, strengths and weaknesses. The new parameterizations could be utilized in numerical model simulations to produce quantitative estimations of the amount of strokes over convective areas. © 2019 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122272
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Institute of Environmental Research and Sustainable Development, National Observatory of Athens, Athens, Greece; 66, Akrita str., Kalamata, GR-24132, Greece; Ludwig-Maximilians-University Munich and Nowcast GmbH, Munich, Germany
Recommended Citation:
Karagiannidis A.,Lagouvardos K.,Lykoudis S.,et al. Modeling lightning density using cloud top parameters[J]. Atmospheric Research,2019-01-01,222