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Keyword: meteorological fields ×Clear all

3 claims from 1 paper

1. Environmental Science › Hydrological Forecasting Using AI

   Short‐Term Precipitation Prediction for Contiguous United States Using Deep Learning

   Chen and Wang · Geophysical Research Letters · 2022

   A 3D convolutional neural network trained on 39 years of US meteorology and rainfall data is reported to predict precipitation well, alone and combined with weather-model forecasts.

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   1. UncheckedA trained neural network alone is reported to beat state-of-the-art weather models at predicting daily total US precipitation, at forecast leads of up to 5 days.“First, the trained network alone outperforms the state-of-the-art weather models in predicting daily total precipitation, and the superiority of the network extends to forecast leads up to 5 days.”
   2. Unchecked“Second, combining the network predictions with the weather-model forecasts significantly improves the accuracy of model forecasts, especially for heavy-precipitation events.”
   3. UncheckedThe network makes a prediction in milliseconds, which the authors say makes it practical to run many ensemble forecasts to improve accuracy further.“Third, the millisecond-scale inference time of the network facilitates large ensemble predictions for further accuracy improvement.”