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Forecasting Mesoscale Convective Systems (MCS)

Wes Junker (Hydrometeorological Prediction Center)

Other Contributors: Brad Grant (Warning Decision Training Branch), Steve Corfidi (Storm Prediction Center), Fred Glass and Ron Przybylinski (NWS LSX)

Introduction

This lesson presents some of the key characteristics of Mesoscale Convective Systems(MCS). These include MCS initiation, synoptic scale pattern recognition and parameter evaluation, precipitation distribution, and movement. The objectives of this teletraining class are to illustrate how forecasters can better predict MCS development and evolution. These objectives are directly beneficial to forecasters because they apply them to operations. Specifically, these benefits can help forecasters anticipate potential heavy rain situations and severe thunderstorm development often associated with MCSs.

Prerequisites

This is a basic course. There are no prerequisites.

Training Session Options

  1. VISITview playback without Audio - You may step through the VISITview file on your own to view the presentation. If talking points are available, you may use these in tandem with going through the slides.

    Create a directory to download the playback file from the following site: http://rammb.cira.colostate.edu/training/visit/training_sessions/forecasting_mcs/forecasting_mcs.exe

    After extracting the files into that directory click on the visitlocal.bat file to start the lesson. Advance slides on your own using the navigation controls (i.e., the Next button will advance to the next slide)

References/Additional Links

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