Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 4
Articles | Volume 19, issue 4
https://doi.org/10.5194/amt-19-1227-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-19-1227-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 4
Research article
 | 
19 Feb 2026
Research article |  | 19 Feb 2026

PV power modelling using solar radiation from ground-based measurements and CAMS: Assessing the diffuse component related uncertainties leveraging the Global Solar Energy Estimator (GSEE)

Nikolaos Papadimitriou, Ilias Fountoulakis, Antonis Gkikas, Kyriakoula Papachristopoulou, Andreas Kazantzidis, Stelios Kazadzis, Stefan Pfenninger, John Kapsomenakis, Kostas Eleftheratos, Athanassios A. Argiriou, Lionel Doppler, and Christos S. Zerefos

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 803 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
690 95 18 803 37 9 7
  • HTML: 690
  • PDF: 95
  • XML: 18
  • Total: 803
  • Supplement: 37
  • BibTeX: 9
  • EndNote: 7
Views and downloads (calculated since 06 Nov 2025)
Cumulative views and downloads (calculated since 06 Nov 2025)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 803 (including HTML, PDF, and XML) Thereof 746 with geography defined and 57 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Mar 2026
Download
Short summary
We perform Photovoltaic (PV) power simulations with the Global Solar Energy Estimator and assess the uncertainty linked to the use of a diffuse fraction model. Validation is conducted under diverse atmospheric conditions, including cloudiness and aerosols, using input data from ground-based measurements and the Copernicus Atmosphere Monitoring Service (CAMS). Results indicate that simulations are reliable under most conditions, with overestimations occurring during intense dust events.
Read more
Share
Special issue
Sun-photometric measurements of aerosols: harmonization, comparisons,...