Assets for SMUrF v1

The SMUrF model [Wu et al., 2021, GMD] leverages satellite-based Solar-Induced Fluorescence data along with an artificial neural network model to estimate biogenic CO2 fluxes over urban areas around the globe.

Code

The model code with the latest commit is available on GitHub. We welcome external contributions/commits.

Data

As running the model for the entire globe incurs significant computational cost, we only shared the flux results for the following eight regions:

  • western CONUS (125–95 W, 25–50 N)
  • eastern CONUS (95–65 W, 25–50 N)
  • western Europe (11 W–20 E, 35–60 N)
  • eastern China (100–125 E, 20–50 N)
  • eastern Asia (125–150 E, 30–55 N)
  • eastern Australia (130–155 E, 40–10 S)
  • south America (65–40 W, 40–10 S)
  • central Africa (10–20 E, 10–15 N)

Flux components include:
(1) 4-day mean CSIF-based GPP and uncertainty,
(2) daily mean NN-based Reco, and
(3) the final hourly GPP, Reco, and NEE fluxes.

The user can download the flux results from Oak Ridge National Lab DAAC. Please review the guide documentation before downloading.

How to cite

Anyone uses the model code from Github or the model output from ORNL DAAC should cite both the data along with the paper

Wu, D., and J.C. Lin. 2021. Urban Biogenic CO2 fluxes: GPP, Reco and NEE Estimates from SMUrF, 2010-2019. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1899

Wu, D., Lin, J. C., Duarte, H. F., Yadav, V., Parazoo, N. C., Oda, T., and Kort, E. A.: A model for urban biogenic CO2 fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1), Geosci.Model Dev., 14, 3633–3661, https://doi.org/10.5194/gmd-14-3633-2021, 2021.