Temporal downscaling: a comparison between artificial neural network and autocorrelation techniques: Part II- application
Several studies have been devoted to dynamic and statistical downscaling for both climate variability and climate change. This paper introduces an application of temporal neural networks for downscaling global climate model output and autocorrelation functions. This method is proposed for downscalin...
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