Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 8
Articles | Volume 18, issue 8
https://doi.org/10.5194/amt-18-1961-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-1961-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 8
Research article
 | 
30 Apr 2025
Research article |  | 30 Apr 2025

Improved consistency in solar-induced fluorescence retrievals from GOME-2A with the SIFTER v3 algorithm

Juliëtte C. S. Anema, K. Folkert Boersma, Lieuwe G. Tilstra, Olaf N. E. Tuinder, and Willem W. Verstraeten

Viewed

Total article views: 4,786 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,485 1,377 924 4,786 449 175 258
  • HTML: 2,485
  • PDF: 1,377
  • XML: 924
  • Total: 4,786
  • Supplement: 449
  • BibTeX: 175
  • EndNote: 258
Views and downloads (calculated since 11 Oct 2024)
Cumulative views and downloads (calculated since 11 Oct 2024)

Viewed (geographical distribution)

Total article views: 4,786 (including HTML, PDF, and XML) Thereof 4,755 with geography defined and 31 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 14 Jun 2026
Download
Short summary
Long-term records of plant fluorescence offer vital insights into changing vegetation activity. The GOME-2A sensor provides extensive global observations but suffers from calibration and instrument degradation, which affects data consistency. This study presents the SIFTER v3 algorithm, which effectively resolves these issues and includes other improvements, resulting in robust, accurate, and consistent GOME-2A fluorescence measurements from 2007 to 2017.
Read more
Share