WRF Model Lightning Forecast Algorithm (LFA)

This tutorial provides background information on the development, calibration, and application of the Lightning Forecast Algorithm (LFA), as implemented into the Weather Research and Forecasting (WRF) numerical weather prediction model. The LFA is a demonstration product for use in the GOES-R Proving Ground to develop model proxy fields of total lightning that could be used in future data assimilation applications of the Geostationary Lightning Mapper. Since the initial journal publication in 2009, the LFA has been implemented into the NSSL WRF 4-km daily model runs beginning in Spring 2010, and was incorporated into the Storm Scale Ensemble Forecast runs for the 2011 Experimental Forecast Program in Norman, Oklahoma. The LFA is also being run within the High Resolution Rapid Refresh at the Global Systems Division in Boulder, CO.

 

Author (s): Eugene McCaul, Kevin Fuell, Geoffrey Stano, and Jonathan Case
Language: English
Publication Date: November, 2011
Skill Level: 3 (requires advanced knowledge of the topic)
Prerequisites: none
Completion Time: 7:28 min
Includes Audio: no
Required Plugins: no
Categories: modeling data assimilation, total lightning

Training Slides info:

trainingslidesicon

 

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