A Comparison of Neural-Network and Surrogate-Severe Probabilistic Convective Hazard Guidance Derived from a Convection-Allowing Model
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DOI: 10.1175/waf-d-20-0036.1
Abstract: A feed-forward neural network (NN) was trained to produce gridded probabilistic convective hazard predictions over the contiguous United States. Input fields to the NN included 174 predictors, derived from 38 variables output by 497 convection-allowing… read more here.
Keywords: probabilistic convective; convection allowing; surrogate; model ... See more keywords