Progress in Lightning Forecast by Using Numerical Weather Models and Model Outputs |
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| Authors: | Wang Haoliang Liu Yubao Zhao Tianliang Guo Fengxia Feng Shuanglei Wang Bo |
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| Institution: | 1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2.State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems, China Electric Power Research Institute, Beijing 100085, China; 3.Research Application Laboratory, National Center for Atmospheric Research, Boulder, Colorado 80307, America |
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| Abstract: | Lightning can threaten human and equipment safety. An indicator of sever convective weather, it plays an important role in atmospheric chemistry. The intensive studies have advanced the lightning forecast in the mesoscale weather models and its application in global climate models. There are three methods to forecast lightning by using numerical weather models: Numerical diagnosis prediction based on synoptic background filed statistical relations; Flash rate parameterization developed with the relationship between dynamical, microphysical and electrification processes, and The numerical weather model coupled with the explicit electrification and lightning parameterization schemes. In this paper, the research progress in lightning forecast with three above-mentioned methods were reviewed, and the future research issues on lightning forecast were also discussed. |
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| Keywords: | Numerical weather model Lightning parameterization scheme Atmospheric chemistry model Sever convective weather Lightning forecast |
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