Global High-Resolution (8 days, 0.05 °) Solar-Induced Fluorescence Dataset (2001-2020)

Global High-Resolution (8 days, 0.05 °) Solar-Induced Fluorescence Dataset (2001-2020)

Photosynthesis is a key process linking carbon and water cycles, and satellite-retrieved solar-induced chlorophyll fluorescence (SIF) can be a valuable proxy for photosynthesis. The TROPOspheric Monitoring Instrument (TROPOMI) on the Copernicus Sentinel-5P mission enables significant improvements in providing high spatial and temporal resolution SIF observations, but the short temporal coverage of the data records has limited its applications in long-term studies. We use machine learning to reconstruct TROPOMI SIF (RTSIF) over the 2001–2020 period in clear-sky conditions with high spatio-temporal resolutions (0.05°, 8-day). Our machine learning model achieves high accuracies on the training and testing datasets (R^2 = 0.907, regression slope = 1.001). The RTSIF dataset is validated against TROPOMI SIF and tower-based SIF, and compared with other satellite-derived SIF (GOME-2 SIF and OCO-2 SIF). Comparing RTSIF with Gross Primary Production (GPP) illustrates the potential of RTSIF for estimating gross carbon fluxes. We anticipate that this new dataset will be valuable in assessing long-term terrestrial photosynthesis and constraining the global carbon budget and associated water fluxes.

File naming and required software

The data record contains global RTSIF data from January 2001 to December 2020 at a 0.05°/8-day resolution. There are 46 GeoTiff files per year, one for each 8-day period. The unit is mWm−2nm−1sr−1. The file name RTSIF_ < YYYY > - < MM > - < DD > .tif provides information on the year, month, and start date of the 8-day period.

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Cite as:

Chen, X., Huang, Y., Nie, C., Zhang, S., Wang, G., Chen, S., Chen, Z. (2022). Global High-Resolution (8 days, 0.05 °) Solar-Induced Fluorescence Dataset (2001-2020). National Tibetan Plateau Data Center, DOI: (Download the reference: RIS | Bibtex )

Related Literatures:

1. Chen, X., Huang, Y., Nie, C., Zhang, S., Wang, G., Chen, S., Chen, Z. (2022). A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms. Sci Data 9, 427.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

National Natural Science Foundation of China (No:91847301)

National Natural Science Foundation of China (No:51809007)

Central Funds Guiding the Local Science and Technology Development of Qinghai Province (No:2021ZY024)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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Geographic coverage
East: 180.00 West: -180.00
South: -90.00 North: 90.00
  • Temporal resolution: Daily
  • Spatial resolution: 1km - 10km
  • File size: 140,000 MB
  • Views: 1,411
  • Downloads: 274
  • Access: Open Access
  • Temporal coverage: 2001-01-01 To 2020-12-31
  • Updated time: 2022-07-31
: CHEN Xingan    HUANG Yuefei    NIE Chong    ZHANG Shuo    WANG Guangqian    CHEN Shiliu    CHEN Zhichao   

Distributor: National Tibetan Plateau Data Center


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