Articles | Volume 11, issue 2
Atmos. Meas. Tech., 11, 907–924, 2018
https://doi.org/10.5194/amt-11-907-2018

Special issue: SKYNET – the international network for aerosol, clouds,...

Atmos. Meas. Tech., 11, 907–924, 2018
https://doi.org/10.5194/amt-11-907-2018

Research article 15 Feb 2018

Research article | 15 Feb 2018

Assessment of surface solar irradiance derived from real-time modelling techniques and verification with ground-based measurements

Panagiotis G. Kosmopoulos et al.

Viewed

Total article views: 2,096 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,345 705 46 2,096 46 54
  • HTML: 1,345
  • PDF: 705
  • XML: 46
  • Total: 2,096
  • BibTeX: 46
  • EndNote: 54
Views and downloads (calculated since 24 Oct 2017)
Cumulative views and downloads (calculated since 24 Oct 2017)

Viewed (geographical distribution)

Total article views: 1,949 (including HTML, PDF, and XML) Thereof 1,936 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Sep 2021
Download
Short summary
Continuous monitoring of solar energy from space is critical for its efficient exploitation and distribution. For this reason we developed neural-network- and function-based real-time models, which are capable of producing massive radiation outputs in high spectral, spatial and temporal resolution. The models' performance against ground-based measurements revealed a dependence on input quality and resolution, and an overall accuracy under cloudless and high solar energy potential conditions.