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Environmental applications require accurate air temperature (Tair) datasets with different temporal and spatial resolutions. Existing methods generally improve the estimation accuracy of Tair using environmental variables as auxiliary data to overcome problems related to sparse metrological stations. However, these data are always fixed and do not comprehensively explain the variations in Tair values...
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