Mine-Weather is an analytical database and visualization system designed to allow companies to probe the accuracy of the weather forecasts they use to plan their activities and preparedness in the case of storm conditions. The tool captures and stores both weather forecast data and observational data for all stations within a given geographical area.

The data is saved at hourly intervals and can be stored for several years, allowing analysis of different types of weather events over a long period of time. As an initial step in the configuration of the system for a specific client, existing historical data can be uploaded.

 

Weather forecast data play a central role in preparedness and capacity planning for various companies and governmental entities, including electric and gas utilities, transportation companies and transit government entities, investment firms interested in understanding the relationship between a company’s infrastructure and their service capabilities under different weather conditions.

Mine-Weather allows clients to segment out the specific time periods and weather variables of interest. They can then probe the accuracy of the forecasts for these specific segments. Since the data is all stored in a deep analytical data zone, these segments can be re-defined as often as needed to answer the important questions of the day.

Mine-Weather provides the framework for companies to perform their own independent analysis on the accuracy of weather forecasts they rely on, and to do that evaluation for the specific types of weather events that are most important to the client. So the critical issue is not what the overall weather forecast accuracy over a season/year, but rather how good is the weather forecast data for the event types most important to a specific company.