Preprints
https://doi.org/10.5194/essd-2025-561
https://doi.org/10.5194/essd-2025-561
28 Nov 2025
 | 28 Nov 2025
Status: this preprint is currently under review for the journal ESSD.

Long-term solar-induced fluorescence data record from GOME-2A and GOME-2B (2007–2023) using the SIFTER v3 algorithm

Juliëtte C. S. Anema, K. Folkert Boersma, Lieuwe G. Tilstra, Ruben van't Loo, and Olaf N. E. Tuinder

Abstract. Design differences in sensors and retrieval algorithms complicate the harmonisation of space-based solar-induced fluorescence (SIF) observations. The GOME-2 series, with its identical sensor design, offers potential for constructing a long-term coherent record. However, instrumental artefacts, such as degradation, affect the sensors differently and diverge the intersensor SIF observations. Achieving internal consistency within each record is therefore a critical first step in harmonisation. We present a combined GOME-2 SIF dataset for 2007–2023 that consists of GOME-2A (Jan. 2007–Dec. 2017) and GOME-2B SIF (July 2013–Dec. 2023) data. Both individual records are retrieved using the previously developed SIFTER v3 algorithm, which applies time-, wavelength-, and scan-angle-dependent degradation corrections. Spatial agreement between GOME-2A and GOME-2B SIF during the overlapping period was strong (r ≥ 0.96), although viewing geometry differences caused substantial systematic biases, specifically over high activity regions; these were reduced to within 2 % by constraining to common viewing zenith angle ranges. In terms of temporal alignment, most analysed regions showed no significant step change at the July 2013 sensor transition, from full-swath GOME-2A to GOME-2B SIF. Small offsets in Eastern China and the Amazon were corrected for using a simple additive correction, which improved the coherence and agreement with independent GPP estimations from FluxSat. Finally, the GOME-2 records align closely with FluxSat GPP and TROPOMI SIF across various biomes, and support monitoring of vegetation activity over 17 years. Our work presents a framework for detecting and, when necessary, correcting intersensor offset biases, enabling the use of GOME-2A and GOME-2B SIF as a single record. Moreover, it offers guidance for harmonising multi-sensor datasets and for other causes of potential structural breaks in long-term observation records. The GOME-2A and GOME-2B SIF (obtained in this study) datasets are available at https://doi.org/10.21944/gome2a-sifter-v3-solar-induced-fluorescence and https://doi.org/10.21944/gome2b-sifter-v3-solar-induced-fluorescence, respectively.

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Juliëtte C. S. Anema, K. Folkert Boersma, Lieuwe G. Tilstra, Ruben van't Loo, and Olaf N. E. Tuinder

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Juliëtte C. S. Anema, K. Folkert Boersma, Lieuwe G. Tilstra, Ruben van't Loo, and Olaf N. E. Tuinder

Data sets

SIFTER Solar-Induced Vegetation Fluorescence Data from GOME-2B (Version 3.0) J. C. S. Anema et al. https://doi.org/10.21944/gome2b-sifter-v3-solar-induced-fluorescence

Juliëtte C. S. Anema, K. Folkert Boersma, Lieuwe G. Tilstra, Ruben van't Loo, and Olaf N. E. Tuinder

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Short summary
The GOME-2 series offers a long solar-induced fluorescence (SIF) record, but sensor-specific instrumental artefacts diverge intersensor observations. We developed a combined GOME-2 SIF record (2007–2023) from GOME-2A and GOME-2B SIF using the SIFTER v3 algorithm, which corrects these artefacts. Both records show strong spatial and temporal coherence. A framework is provided to detect and, if needed, correct intersensor offsets, supporting consistent long-term monitoring of vegetation dynamics.
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