Abstract: The technology relates to a distributed computing system and method for generating atmospheric wind forecasts. A distributed computing system for wind forecasting in a region of the atmosphere may include an analog ensemble distilling architecture, a processor, and a memory. The analog ensemble distilling architecture may include a learner configured to train a deep neural network using analog ensemble data and output a distilled analog ensemble capable of producing an improved forecast, a reservoir comprising a cache, a builder comprising a plurality of jobs configured to sample a plurality of slices of an analog ensemble function, and a corpus. The processor may be configured to apply an analog ensemble operator, generate overlapping forecast output files, and generate wind forecasts. The memory may be configured to store one or more components of the analog ensemble distilling architecture.