AER sCast Available From WeatherBug® Professional

Seasonal Weather Forecasts

Seasonal forecasts provide critical decision making information to many industries worldwide. WeatherBug® offers AER sCast, a seasonal forecast product that provides powerful weather estimates as far as six months ahead. Unlike other seasonal forecasts, AER sCast uses a unique initialization scheme that combines El Niņo, warming trends and global snow cover to predict overall global trends.

AER sCast data is presented in easy-to-read text, tables and graphics and provides quick access to timely information. The solution provides extensive temperature and precipitation information in both tabular and map formats, making forecasts easy to understand.

Gaining a Competitive Advantage

AER sCast forecasts are released about two weeks before the government's forecast, ensuring that you have timely weather information before your competition does. Long-range forecasts provide critical decision-making information to planners and traders worldwide.

AER sCast was developed by a valued WeatherBug® partner, AER, Inc., based in Lexington, Massachusetts. AER is an atmospheric research facility and works with NOAA, NASA and other government agencies. AER employs over 40 PhDs developing best-of-breed forecasting products and solutions.

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AER sCast also features:
  • Seasonal (can extend to six months) regional and national temperature and precipitation forecasts
  • Regional and national population weather forecasts, and gas- and oil-weighted degree-day forecasts
  • Regional and national forecast discussions, updated twice monthly
  • City forecasts for market traded cities presented in tabular format
  • More than 30 years of extensive hindcasting has validated the accuracy of AER sCast forecasts that have correlation coefficients above .7 more than 70% of the time
  • Consultations — AER has a dedicated staff of experts who are here to answer your questions
  • Predictions of not only the sign (+/-) of weather anomalies, but also the magnitude of the anomaly (how positive or negative)