Weather Analytics answers global weather intelligence queries with high quality climate and forecast data. This data forms an extensive collection of historical weather content, coupled with proprietary analytical methodologies.
Weather Analytics data serves more than 200 customers. These include WSI (a division of weather.com), Pulse Energy, Florida Solar Energy Center, the energy-management firm C3, Lawrence Berkeley Labs, Portland State University, Honeywell Building Solutions and United Technologies.
Weather Analytics delivers data with much broader geographic coverage, more complete history, better accessibility and better short-term (hourly) forecasts than any other provider in the world. Further, with a full 30+ years of statistically stable, geo-stationary historical data, they can produce highly accurate weather event profiles for variable types and geographic areas that are not available elsewhere.
How do they do this? Weather Analytics provides unique depth and breadth of global coverage. They start with the Climate Forecast System Reanalysis (CFSR) data sets released by NOAA and the National Centers for Environmental Protection. This data collection, as organized and enhanced by Weather Analytics, is used to divide the globe into 650,000+ geo-located, geo-stable 35×35 km areas and is updated every six hours. Weather Analytics then integrates ground-station observations from 8,000 official worldwide weather stations into this grid, providing continual data from the year 1979, and further integrates hourly seven-day forecasts. Weather Analytics has created a weather intelligence network of 650,000 Virtual Sensor Stations™ and gives customers the unique ability to position their own Virtual Sensor Station™. This dynamic network of enhanced weather data results in more comprehensive and precise weather data and forecasts than any other weather data provider. In addition, Weather Analytics offers more than 500 weather variables (fog, wind direction, snow depth) that can be served up individually, aggregated with multiple variables, or used to create meta-data – effectively serving as a “one-stop shop” for weather intelligence.
Weather Analytics provides climate data in an easily accessible format that allows clients to focus their efforts on solving business problems versus aggregating and cleansing data from raw sources, which offer very limited value on their own. Weather Analytics also helps customers more easily assimilate the effects of climate and weather on their decisions by using its analytics tools to present the weather data and its impact in terms most easily understood by that user community. Furthermore, the company has over 50 times the global historical data amassed than any other source or provider.
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