Improving the statistical downscaling performance of climatic parameters with convolutional neural networks

This study examines two downscaling techniques, convolutional neural networks (CNNs) and feedforward neural networks for predicting precipitation and temperature, alongside statistical downscaling as a benchmark model. The daily climate predictors were extracted from the European Center for Medium-r...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Aida Hosseini Baghanam, Vahid Nourani, Mohammad Bejani, Chang-Qing Ke
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IWA Publishing 2024-04-01
Sarja:	Journal of Water and Climate Change
Aiheet:	climate change convolutional neural networks (cnns) feedforward neural networks (ffnns) statistical downscaling tabriz city
Linkit:	http://jwcc.iwaponline.com/content/15/4/1772
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