Articles | Volume 11, issue 2
https://doi.org/10.5194/gi-11-389-2022
https://doi.org/10.5194/gi-11-389-2022
Research article
 | 
24 Nov 2022
Research article |  | 24 Nov 2022

Upgrade of LSA-SAF Meteosat Second Generation daily surface albedo (MDAL) retrieval algorithm incorporating aerosol correction and other improvements

Daniel Juncu, Xavier Ceamanos, Isabel F. Trigo, Sandra Gomes, and Sandra C. Freitas

Viewed

Total article views: 2,524 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,050 414 60 2,524 40 39
  • HTML: 2,050
  • PDF: 414
  • XML: 60
  • Total: 2,524
  • BibTeX: 40
  • EndNote: 39
Views and downloads (calculated since 25 Apr 2022)
Cumulative views and downloads (calculated since 25 Apr 2022)

Viewed (geographical distribution)

Total article views: 2,524 (including HTML, PDF, and XML) Thereof 2,351 with geography defined and 173 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
MDAL is a near real-time, satellite-based surface albedo product based on the geostationary Meteosat Second Generation mission. We propose an update to the processing algorithm that generates MDAL and evaluate the results of these changes through comparison with the pre-update, currently operational MDAL product as well as reference data using different satellite-based albedo products and in situ measurements. We find that the update provides a valuable improvement.