Patent ID: 8209124
Filing Date: 2012-06-26
Classification: G01W

Abstract:
1. A system for predicting weather-related threats, comprising: a network meteorological weather monitoring stations having a plurality of monitoring stations communicably linked over a wide area network to a central server where each of said plurality of monitoring stations operable to transmit sensor data to said central server and where each of said plurality of monitoring stations are geographically place based on a type of weather threat parameter, a type of asset parameter, and a local condition parameter thereby forming a local Mesonet; a computing system communicably linked to said central server over said wide are network and having an initialization module adapted for initializing the boundary conditions for a an earth atmosphere sciences (EAS) model domain, where said initialization module has a pre-processing sub-module including a Geo-Grid function operable to extract data from a geographic database to define the model domain lower boundary condition, an UnGrib function operable to extract data imported from national weather service to define lateral boundary conditions, and a Metgrid function operable to transform data from the UnGrib and the Geo-Grid for the EAS model domain; said computing system further comprising an ingestion module adapted for ingesting initial EAS model domain boundary conditions and combining with Local Mesonet to get Weather Research Forecasting model by importing Local Mesonet Data from the Local Mesonet and transformed by an ObsGrid sampling function into uniform data grid and storing into MetGrid; said computing system further comprising a parameterization scheme module adapted for selecting and tuning a parameterization scheme based at least partially on Local Mesonet Data; and said computing system further comprising a Prediction module adapted for generating weather prediction data based on the Weather Research Forecasting model and outputting the weather prediction data to a user interface adapted for operator viewing.