Machine-Learning-Based Downscaling of Hourly ERA5-Land Air Temperature over Mountainous Regions

Machine-Learning-Based Downscaling of Hourly ERA5-Land Air Temperature over Mountainous Regions

In mountainous regions, the scarcity of air temperature (Ta) measurements is a major limitation for hydrological and crop monitoring. An alternative to in situ measurements could be to downscale the reanalysis Ta data provided at high-temporal resolution. However, the relatively coarse spatial resol...

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Bibliographic Details
Main Authors: Badr-eddine Sebbar, Saïd Khabba, Olivier Merlin, Vincent Simonneaux, Chouaib El Hachimi, Mohamed Hakim Kharrou, Abdelghani Chehbouni
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Atmosphere
Subjects:
reanalysis
ERA5-Land
air temperature
downscaling
complex terrain
machine learning
Online Access:https://www.mdpi.com/2073-4433/14/4/610

Internet

https://www.mdpi.com/2073-4433/14/4/610

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