DeepDT: Generative Adversarial Network for High-Resolution Climate Prediction

IEEE Geoscience and Remote Sensing Letters(2022)

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摘要
Climate prediction is susceptible to a variety of meteorological factors, and downscaling technology is used for high-resolution climate prediction. This technology can generate small-scale regional climate prediction from large-scale climate output information. Inspired by the concept of image super resolution, we propose to apply the convolutional neural network (CNN) to downscaling technology. ...
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关键词
Meteorology,Generators,Predictive models,Feature extraction,Data models,Training,Generative adversarial networks
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