Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4519-2023
https://doi.org/10.5194/essd-15-4519-2023
Data description paper
 | 
06 Oct 2023
Data description paper |  | 06 Oct 2023

An integrated and homogenized global surface solar radiation dataset and its reconstruction based on a convolutional neural network approach

Boyang Jiao, Yucheng Su, Qingxiang Li, Veronica Manara, and Martin Wild

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Short summary
This paper develops an observational integrated and homogenized global-terrestrial (except for Antarctica) SSRIH station. This is interpolated into a 5° × 5° SSRIH grid and reconstructed into a long-term (1955–2018) global land (except for Antarctica) 5° × 2.5° SSR anomaly dataset (SSRIH20CR) by an improved partial convolutional neural network deep-learning method. SSRIH20CR yields trends of −1.276 W m−2 per decade over the dimming period and 0.697 W m−2 per decade over the brightening period.
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