Weather · 2013 · 38 citations · 6 references
Natural SciencesMeteorologyForecastingNumerical Weather PredictionWeather ForecastingConvective MeteorologyConvective WeatherForecast VerificationSevere Convective StormsConvective Storm ForecastingExtreme Weather EventsHigh-resolution ModelingHigh-resolution Numerical Weather PredictionSevere Convective Storm PredictionSupercell ThunderstormsThunderstorm PredictionWeather Model Verification
and guidance on these extreme events, but the chance of the simulation getting the storms in exactly the right place is low. Thus, careful management of this data is of key importance. models might allow forecasters to have higher confidence in severe or extreme convective events. For example, on 28 June 2012, MeteoGroup's WRF model predicted supercell thunderstorms across the Midlands; later that day several developed, bringing very large hailstones and a couple of tornadoes. However, such models also have a very high chance of being misleading if the output is simply sent to customers. This type of output is great for meteorologists in giving extra information likely scenario to the customer. With technology allowing more automation in some areas, the role of the meteorologist has shifted a little more towards that of an expert consultant, tasked with giving the customer the information they demand in a clear and timely manner.
6