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Can We Integrate Spatial Verification Methods into Neural Network Loss Functions for Atmospheric Science?
Publisher: American Meteorological Society
Abstract: In the last decade, much work in atmospheric science has focused on spatial verification (SV) methods for gridded prediction, which overcome serious disadvantages of pixelwise verification. However, neural networks (NN) ...
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