The findings indicate that neural network models possess strong transfer learning capabilities, which are highly significant for climate research and related applications and confirm the feasibility of transfer learning in meteorological data.
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Exploring cross-regional and cross-variable transferability of a ResNet-based super-resolution method for the ERA5 data.
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