Preprint Article Version 1 NOT YET PEER-REVIEWED

The Cloud-to-Ground Lightning Parameterization Development with the Canadian Local Climate Model

  1. National Institute of Meteorology, Tunisia
Version 1 : Received: 11 November 2016 / Approved: 16 November 2016 / Online: 16 November 2016 (13:50:05 CET)

How to cite: Arif, A. The Cloud-to-Ground Lightning Parameterization Development with the Canadian Local Climate Model. Preprints 2016, 2016110085 (doi: 10.20944/preprints201611.0085.v1). Arif, A. The Cloud-to-Ground Lightning Parameterization Development with the Canadian Local Climate Model. Preprints 2016, 2016110085 (doi: 10.20944/preprints201611.0085.v1).

Abstract

We use the third version of the Canadian Local Climate Model  as a diagnostic tool to study the climatology of observed CG lightning activity at Maniwaki (latitude: 46,23°N; Longitude: 75,58°W). We examine the dependence between the hourly lightning activity and the related atmospheric variables during the warm season of sixteen years (between 1984 and 2004). The goal of this research is: a) to evaluate the atmospheric static state evolution and its moisture contents for conditions having generated lightning occurrence, b) to develop a CG lightning parameterization, and c) to verify this CG lightning parameterization on other Canadian areas. The freezing level altitude and the precipitable water content are used to estimate the static air instability and its moisture content respectively. These two parameters are served to develop the CG lightning parameterization. A comparison between the observations and simulations CG lightning occurrence and frequency at Maniwaki showed a mean absolute error rate of 27% and 55% respectively. We apply this parameterization at four Canadian regions, distributed from west to east. The simulated CG lightning results are comparable to observed CG lightning at Maniwaki and tested regions. The application of the CG lightning parameterization to the daily data enabled us to find the monthly results. This application represents a preliminary stage for validation this parameterization in regional numerical models in Canada during the historic period.

Subject Areas

Parameterization, climate, Lightning, Atmosphere, Modelling, Thunderstorm, Convection, Forest, fires.

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