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A Deep Learning Approach to Radar-based QPE
With a data volume consisting of the time series of gridded radar reflectivities over the Taiwan area, we used machine learning algorithms to establish a statistical model for QPE in weather stations.
Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning
By training with uniquely labeled data integrating best tracks and numerical model analysis of 2004 to 2018 TCs, our model converts multichannel satellite imagery to a 0-750-km wind profile of axisymmetric surface winds.
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