This project’s forecast maps are generated using an analog pattern recognition method, based on cyclic patterns in the weather itself; it is not a modeling based method that most weather forecasting services such as the National Weather Service or Weather Channel provide. This analog method has been created over the past 25 years of scientific research and development by Richard Holle using archived data from the NOAA TD3200 cooperative summery.

Recently we have been able to extend our project online to provide yearly forecasts for those who would be interested in subscribing to a reliable, long term forecasting method. We believe that these forecasts would be extremely valuable for futures markets, farmers, forecasting of natural disasters and much more.

Currently we provide forecasts for precipitation, high temperatures, low temperatures, snow fall and snow on ground in the contiguous United States. As funding becomes available, we would like to expand our forecasting methods and maps to outside the contiguous United States and throughout the world. In addition to locations, we would also like to expand the forecasting technique to other natural disasters such as tornados, severe weather and earthquake prediction. We would also be interested in popular requests from our subscribers, if you have a suggestion of additional products you would be interested in please contact us.