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DOI	10.1016/j.atmosres.2019.02.013
	Modeling lightning density using cloud top parameters
	Karagiannidis A.; Lagouvardos K.; Lykoudis S.; Kotroni V.; Giannaros T.; Betz H.-D.
发表日期	2019
ISSN	0169-8095
起始页码	163
结束页码	171
卷号	222
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.
英文关键词	Convective cloud tops; Europe; Lightning density; LINET; NWC SAF
语种	英语
scopus关键词	Clouds; Lightning; Parameterization; Convective clouds; Europe; Lightning density; LINET; NWC SAF; Parameter estimation; cloud cover; lightning; modeling; parameterization; thunderstorm; Europe
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162112
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
推荐引用方式 GB/T 7714	Karagiannidis A.,Lagouvardos K.,Lykoudis S.,et al. Modeling lightning density using cloud top parameters[J],2019,222.
APA	Karagiannidis A.,Lagouvardos K.,Lykoudis S.,Kotroni V.,Giannaros T.,&Betz H.-D..(2019).Modeling lightning density using cloud top parameters.Atmospheric Research,222.
MLA	Karagiannidis A.,et al."Modeling lightning density using cloud top parameters".Atmospheric Research 222(2019).