Patent ID: 9310517
Filing Date: 2016-04-12
CPC Classification: G01W

Claim Text:
1. A computer implemented method operable on at least one processor for determining the accuracy of a plurality of mesoscale weather models comprising: inputting into at least one processor a plurality of preexisting mesoscale weather models used for creating weather forecasts over a mesoscale area; inputting initial weather data comprising surface level and upper air temperatures and wind conditions for use by a mesoscale weather model; using each of the plurality of mesoscale weather models, generating output data comprising forecasted temperatures, wind conditions, and predicted weather conditions; inputting actually measured naturally occurring surface level and the upper-air level weather conditions which occurred subsequent to weather conditions which were the same or similar to the initial weather conditions; converting sigma-level analysis of the mesoscale models to pressure level analysis of the mesoscale models; comparing the output data to actually measured data obtained when same or similar initial weather data were present and subsequent resulting temperatures, relative humidity, wind conditions and weather conditions were measured; generating an accuracy rating for each mesoscale weather model reflecting the deviation of temperature, relative humidity, wind conditions and weather conditions predicted by each of the mesoscale weather models as compared to the actually measured surface level and the upper-air level weather conditions.