LDRD-2022-00112: Machine Learning for Weather Forecasting

Abstract

Given its location relative to the coast, seabreezes pass over the Savannah River Site (SRS) fairly often, usually overnight, with consequent effects on site meteorology. Similar to our previous work with fog, we have applied machine learning (ML) to the problem of forecasting seabreeze passage onsite, using as input i) meteorological observations and ii) weather model forecasts.The two ML techniques we applied both demonstrated skill, especially when compared to a simple forecast that uses the predicted land-sea temperature gradient as a predictor.