Articles | Volume 9, issue 2
https://doi.org/10.5194/ascmo-9-103-2023
https://doi.org/10.5194/ascmo-9-103-2023
04 Dec 2023
 | 04 Dec 2023

Regridding uncertainty for statistical downscaling of solar radiation

Maggie D. Bailey, Douglas Nychka, Manajit Sengupta, Aron Habte, Yu Xie, and Soutir Bandyopadhyay

Viewed

Total article views: 818 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
667 125 26 818 21 25
  • HTML: 667
  • PDF: 125
  • XML: 26
  • Total: 818
  • BibTeX: 21
  • EndNote: 25
Views and downloads (calculated since 04 Dec 2023)
Cumulative views and downloads (calculated since 04 Dec 2023)

Viewed (geographical distribution)

Total article views: 832 (including HTML, PDF, and XML) Thereof 832 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
To ensure photovoltaic (PV) plants last, we need to understand how climate change affects solar radiation. Climate models help predict future radiation for PV plants, but there is often uncertainty. We explore this uncertainty and its impact on building PV plants. We highlight the importance of considering uncertainties for accurate planning and management. A California case study shows a practical application for the solar industry.