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RISDeep Learning for Spatially Explicit Prediction of Synoptic-Scale Fronts
Publisher: American Meteorological Society
Abstract: AbstractThis paper describes the use of convolutional neural nets (CNN), a type of deep learning, to identify fronts in gridded data, followed by a novel postprocessing method that converts probability grids to objects. ...
Deep-Learning-Based Precipitation Observation Quality Control
Publisher: American Meteorological Society
Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part II: Daily Precipitation
Publisher: American Meteorological Society
Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part I: Daily Maximum and Minimum 2-m Temperature
Publisher: American Meteorological Society
Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms
Publisher: American Meteorological Society
Abstract: AbstractDeep learning models, such as convolutional neural networks, utilize multiple specialized layers to encode spatial patterns at different scales. In this study, deep learning models are compared with standard machine ...