Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 15, issue 10
Articles | Volume 15, issue 10
https://doi.org/10.5194/essd-15-4519-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4519-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 10
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

Viewed

Total article views: 2,283 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,674 532 77 2,283 135 66 79
  • HTML: 1,674
  • PDF: 532
  • XML: 77
  • Total: 2,283
  • Supplement: 135
  • BibTeX: 66
  • EndNote: 79
Views and downloads (calculated since 22 May 2023)
Cumulative views and downloads (calculated since 22 May 2023)

Viewed (geographical distribution)

Total article views: 2,283 (including HTML, PDF, and XML) Thereof 2,208 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint