Advances in Earth Science ›› 2017, Vol. 32 ›› Issue (1): 44-55. doi: 10.11867/j.issn.1001-8166.2017.01.0044

• Orginal Article • Previous Articles     Next Articles

Progress in Lightning Forecast by Using Numerical Weather Models and Model Outputs

Haoliang Wang 1( ), Yubao Liu 2, 3, *( ), Tianliang Zhao 1, Fengxia Guo 1, Shuanglei Feng 2, Bo Wang 2   

  1. 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
  • Received:2016-08-13 Revised:2016-12-26 Online:2017-01-20 Published:2017-01-10
  • Contact: Yubao Liu E-mail:whl198969@163.com;yliu@ucar.edu
  • About author:

    First author:Wang Haoliang(1989-),male,Ping’an County,Qinghai Province,Ph.D student. Research areas include forecast of severe convective weather and lightning.E-mail:whl198969@163.com

    *Corresponding author:Liu Yubao(1963-),male,Suqian City,Jiangsu Province,Professor. Research areas include cloud scale numerical weather forecast, severe weather process, power meteorology, typhoon, operational weather forecast system.E-mail:yliu@ucar.edu

  • Supported by:
    Project supported by the State Grid Science and Technology Project “Multiscale ensemble FDDA and NWP technologies for electric-power applications”(No.SGTYHT/14-JS-188);the Jiangsu Province University Academic Degrees Postgraduate Research and Innovation Project “Lightning data assimilation based on mesoscale numerical weather model”(No. KYLX16_0939).

Haoliang Wang, Yubao Liu, Tianliang Zhao, Fengxia Guo, Shuanglei Feng, Bo Wang. Progress in Lightning Forecast by Using Numerical Weather Models and Model Outputs[J]. Advances in Earth Science, 2017, 32(1): 44-55.

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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