Abstract: A system for generating short-, medium, long-range and specific area and effect weather or climate forecasts by training a cluster of AI to “understand” the physics that effects the weather and running the clusters on a decentralized computing system or network. Individual modules for specific knowledge of different climate-variability phenomena can be integrated and interrogated to calculate the forecast based on a consensus of future predictions based on a subset of the clusters. The selection criteria determining which modules are deemed to fit may be adjusted to optimize the use of observations in forecasting specific climate variables or geographic regions in order to develop forecasts tailored to particular applications.

Abstract: A system for generating short-, medium, long-range and specific area and effect weather or climate forecasts by training a cluster of Al to “understand” the physics that effects the weather and running the clusters on a decentralized computing system or network. Individual modules for specific knowledge of different climate-variability phenomena can be integrated and interrogated to calculate the forecast based on a consensus of future predictions based on a subset of the clusters. The selection criteria determining which modules are deemed to fit may be adjusted to optimize the use of observations in forecasting specific climate variables or geographic regions in order to develop forecasts tailored to particular applications.