Climate model downscaling in central Asia: a dynamical and a neural network approach

Climate model downscaling in central Asia: a dynamical and a neural network approach

<p>High-resolution climate projections are essential for estimating future climate change impacts. Statistical and dynamical downscaling methods, or a hybrid of both, are commonly employed to generate input datasets for impact modelling. In this study, we employ COSMO-CLM (CCLM) version 6.0, a...

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Bibliographic Details
Main Authors: B. Fallah, M. Rostami, E. Russo, P. Harder, C. Menz, P. Hoffmann, I. Didovets, F. F. Hattermann
Format: Article
Language:English
Published: Copernicus Publications 2025-01-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/18/161/2025/gmd-18-161-2025.pdf
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