CEDAR: Estimating photosynthetic carbon uptake, everywhere, all the time
Monthly ecosystem carbon assimilation via photosynthesis, estimated through combining distributed eddy-covariance observations, machine learning and satellite remote sensing retrievals.
Legend
gC m-2 day-1
Data & Citation
Data coverage: Monthly, 0.05^o spatial resolution.
Data Download:
Zenodo record 11238533
Publication:
Kang, M. et al. (2025). CEDAR-GPP: a global, observation-driven dataset of gross primary productivity from 1982 to 2020. Earth System Science Data, 17, 3009-3031. https://doi.org/10.5194/essd-17-3009-2025
FluxPulse: New inference from improved data processing
FluxPulse lets users upgrade the standard eddy-covariance processing with a particular focus on hard-to-capture responses to rain pulses, and examine how improved flux workflows change interpreted ecosystem signals. Explore spatial and temporal patterns directly in the app, then compare outcomes across processing choices for deeper interpretation.
Data Download & Citation
Data Download: FluxPulse GitHub repository
Publication: Nguyen, N. et al. (2025). Widespread underestimation of rain-induced soil carbon emissions from global drylands. Nature Geoscience, 18, 869–876. https://www.nature.com/articles/s41561-025-01754-9
