Articles | Volume 13, issue 8
https://doi.org/10.5194/amt-13-4295-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-4295-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Aug 2020
Research article |
| 14 Aug 2020
| 14 Aug 2020
Improved SIFTER v2 algorithm for long-term GOME-2A satellite retrievals of fluorescence with a correction for instrument degradation
Erik van Schaik
Meteorology and Air Quality group, Wageningen University,
Wageningen, 6700 AA, the Netherlands
Maurits L. Kooreman
Satellite Observations Department, Royal Netherlands Meteorological
Institute, De Bilt, 3730 AE, the Netherlands
Piet Stammes
Satellite Observations Department, Royal Netherlands Meteorological
Institute, De Bilt, 3730 AE, the Netherlands
L. Gijsbert Tilstra
Satellite Observations Department, Royal Netherlands Meteorological
Institute, De Bilt, 3730 AE, the Netherlands
Olaf N. E. Tuinder
Satellite Observations Department, Royal Netherlands Meteorological
Institute, De Bilt, 3730 AE, the Netherlands
Abram F. J. Sanders
Satellite Observations Department, Royal Netherlands Meteorological
Institute, De Bilt, 3730 AE, the Netherlands
Institute of Environmental Physics, University of Bremen,
Otto-Hahn-Allee 1, 28359 Bremen, Germany
EUMETSAT, EUMETSAT-Allee 1, 64295 Darmstadt, Germany
Willem W. Verstraeten
Meteorology and Air Quality group, Wageningen University,
Wageningen, 6700 AA, the Netherlands
Satellite Observations Department, Royal Netherlands Meteorological
Institute, De Bilt, 3730 AE, the Netherlands
Royal Meteorological Institute of Belgium (KMI), Ringlaan 3, 1180,
Ukkel, Belgium
Rüdiger Lang
EUMETSAT, EUMETSAT-Allee 1, 64295 Darmstadt, Germany
Alessandra Cacciari
EUMETSAT, EUMETSAT-Allee 1, 64295 Darmstadt, Germany
Joanna Joiner
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Wouter Peters
Meteorology and Air Quality group, Wageningen University,
Wageningen, 6700 AA, the Netherlands
University of Groningen, Centre for Isotope Research,
Groningen, 9747 AG, the Netherlands
K. Folkert Boersma
CORRESPONDING AUTHOR
Meteorology and Air Quality group, Wageningen University,
Wageningen, 6700 AA, the Netherlands
Satellite Observations Department, Royal Netherlands Meteorological
Institute, De Bilt, 3730 AE, the Netherlands
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Cited
16 citations as recorded by crossref.
- The spatial heterogeneity of the relationship between gross primary production and sun-induced chlorophyll fluorescence regulated by climate conditions during 2007–2018 Y. Wang et al. 10.1016/j.gecco.2021.e01721
- Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest: reconciling remote sensing data and field observations T. Janssen et al. 10.5194/bg-18-4445-2021
- Intermediate Aerosol Loading Enhances Photosynthetic Activity of Croplands X. Wang et al. 10.1029/2020GL091893
- Time‐Scale Dependent Relations Between Earth Observation Based Proxies of Vegetation Productivity N. Linscheid et al. 10.1029/2021GL093285
- Improved consistency in solar-induced fluorescence retrievals from GOME-2A with the SIFTER v3 algorithm J. Anema et al. 10.5194/amt-18-1961-2025
- TCSIF: a temporally consistent global Global Ozone Monitoring Experiment-2A (GOME-2A) solar-induced chlorophyll fluorescence dataset with the correction of sensor degradation C. Zou et al. 10.5194/essd-16-2789-2024
- Investigating the Potential Accuracy of Spaceborne Solar-Induced Chlorophyll Fluorescence Retrieval for 12 Capable Satellites Based on Simulation Data C. Zou et al. 10.1109/TGRS.2022.3210185
- A Geographically Random Machine Learning Model for GOME-2 Global Seamless Sun-Induced Chlorophyll Fluorescence Downscaling Products With High Spatiotemporal Resolution S. He et al. 10.1109/TGRS.2025.3552678
- Addressing validation challenges for TROPOMI solar-induced chlorophyll fluorescence products using tower-based measurements and an NIRv-scaled approach S. Du et al. 10.1016/j.rse.2023.113547
- Global retrieval of the spectrum of terrestrial chlorophyll fluorescence: First results with TROPOMI F. Zhao et al. 10.1016/j.rse.2023.113903
- Temporally corrected long-term satellite solar-induced fluorescence leads to improved estimation of global trends in vegetation photosynthesis during 1995–2018 S. Wang et al. 10.1016/j.isprsjprs.2022.10.018
- The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission L. Guanter et al. 10.5194/essd-13-5423-2021
- Prospects for Solar-Induced Chlorophyll Fluorescence Remote Sensing from the SIFIS Payload Onboard the TECIS-1 Satellite S. Du et al. 10.34133/2022/9845432
- Sun-induced fluorescence and near-infrared reflectance of vegetation track the seasonal dynamics of gross primary production over Africa A. Mengistu et al. 10.5194/bg-18-2843-2021
- Monitoring the impact of forest changes on carbon uptake with solar-induced fluorescence measurements from GOME-2A and TROPOMI for an Australian and Chinese case study J. Anema et al. 10.5194/bg-21-2297-2024
- Background climate conditions regulated the photosynthetic response of Amazon forests to the 2015/2016 El Nino-Southern Oscillation event M. Fancourt et al. 10.1038/s43247-022-00533-3
15 citations as recorded by crossref.
- The spatial heterogeneity of the relationship between gross primary production and sun-induced chlorophyll fluorescence regulated by climate conditions during 2007–2018 Y. Wang et al. 10.1016/j.gecco.2021.e01721
- Drought effects on leaf fall, leaf flushing and stem growth in the Amazon forest: reconciling remote sensing data and field observations T. Janssen et al. 10.5194/bg-18-4445-2021
- Intermediate Aerosol Loading Enhances Photosynthetic Activity of Croplands X. Wang et al. 10.1029/2020GL091893
- Time‐Scale Dependent Relations Between Earth Observation Based Proxies of Vegetation Productivity N. Linscheid et al. 10.1029/2021GL093285
- Improved consistency in solar-induced fluorescence retrievals from GOME-2A with the SIFTER v3 algorithm J. Anema et al. 10.5194/amt-18-1961-2025
- TCSIF: a temporally consistent global Global Ozone Monitoring Experiment-2A (GOME-2A) solar-induced chlorophyll fluorescence dataset with the correction of sensor degradation C. Zou et al. 10.5194/essd-16-2789-2024
- Investigating the Potential Accuracy of Spaceborne Solar-Induced Chlorophyll Fluorescence Retrieval for 12 Capable Satellites Based on Simulation Data C. Zou et al. 10.1109/TGRS.2022.3210185
- A Geographically Random Machine Learning Model for GOME-2 Global Seamless Sun-Induced Chlorophyll Fluorescence Downscaling Products With High Spatiotemporal Resolution S. He et al. 10.1109/TGRS.2025.3552678
- Addressing validation challenges for TROPOMI solar-induced chlorophyll fluorescence products using tower-based measurements and an NIRv-scaled approach S. Du et al. 10.1016/j.rse.2023.113547
- Global retrieval of the spectrum of terrestrial chlorophyll fluorescence: First results with TROPOMI F. Zhao et al. 10.1016/j.rse.2023.113903
- Temporally corrected long-term satellite solar-induced fluorescence leads to improved estimation of global trends in vegetation photosynthesis during 1995–2018 S. Wang et al. 10.1016/j.isprsjprs.2022.10.018
- The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission L. Guanter et al. 10.5194/essd-13-5423-2021
- Prospects for Solar-Induced Chlorophyll Fluorescence Remote Sensing from the SIFIS Payload Onboard the TECIS-1 Satellite S. Du et al. 10.34133/2022/9845432
- Sun-induced fluorescence and near-infrared reflectance of vegetation track the seasonal dynamics of gross primary production over Africa A. Mengistu et al. 10.5194/bg-18-2843-2021
- Monitoring the impact of forest changes on carbon uptake with solar-induced fluorescence measurements from GOME-2A and TROPOMI for an Australian and Chinese case study J. Anema et al. 10.5194/bg-21-2297-2024
Latest update: 17 May 2025
Short summary
With our improved algorithm we have generated a stable, long-term dataset of fluorescence measurements from the GOME-2A satellite instrument. In this study we determined a correction for the degradation of GOME-2A in orbit and applied this correction along with other improvements to our SIFTER v2 retrieval algorithm. The result is a coherent dataset of daily and monthly averaged fluorescence values for the period 2007–2018 to track worldwide changes in photosynthetic activity by vegetation.
With our improved algorithm we have generated a stable, long-term dataset of fluorescence...
