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

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

doi:https://doi.org/10.5194/amt-18-1961-2025

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

Supplement

https://doi.org/10.5194/amt-18-1961-2025-supplement

Data sets

SIFTER solar-induced vegetation fluorescence data from GOME-2A (Version 3.0) J. C. S. Anema et al. https://doi.org/10.21944/gome2a-sifter-v3-solar-induced-fluorescence

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.