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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...

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Autori principali: Aida Hosseini Baghanam, Vahid Nourani, Mohammad Bejani, Chang-Qing Ke
Natura: Artigo
Lingua:Inglês
Pubblicazione: IWA Publishing 2024-04-01
Serie:Journal of Water and Climate Change
Soggetti:
climate change
convolutional neural networks (cnns)
feedforward neural networks (ffnns)
statistical downscaling
tabriz city
Accesso online:http://jwcc.iwaponline.com/content/15/4/1772
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