Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 6
Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3633-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-3633-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 6
Model description paper
 | 
17 Jun 2021
Model description paper |  | 17 Jun 2021

A model for urban biogenic CO2 fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1)

Dien Wu, John C. Lin, Henrique F. Duarte, Vineet Yadav, Nicholas C. Parazoo, Tomohiro Oda, and Eric A. Kort

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Dien Wu on behalf of the Authors (12 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (07 May 2021) by Leena Järvi
RR by Anonymous Referee #2 (14 May 2021)
ED: Publish subject to technical corrections (17 May 2021) by Leena Järvi
AR by Dien Wu on behalf of the Authors (24 May 2021)  Manuscript 
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Short summary
A model (SMUrF) is presented that estimates biogenic CO2 fluxes over cities around the globe to separate out biogenic fluxes from anthropogenic emissions. The model leverages satellite-based solar-induced fluorescence data and a machine-learning technique. We evaluate the biogenic fluxes against flux observations and show contrasts between biogenic and anthropogenic fluxes over cities, revealing urban–rural flux gradients, diurnal cycles, and the resulting imprints on atmospheric-column CO2.
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