Articles | Volume 13, issue 9
Geosci. Model Dev., 13, 4091–4106, 2020
https://doi.org/10.5194/gmd-13-4091-2020

Special issue: CoMet: a mission to improve our understanding and to better...

Geosci. Model Dev., 13, 4091–4106, 2020
https://doi.org/10.5194/gmd-13-4091-2020

Model evaluation paper 07 Sep 2020

Model evaluation paper | 07 Sep 2020

Short-term forecasting of regional biospheric CO2 fluxes in Europe using a light-use-efficiency model (VPRM, MPI-BGC version 1.2)

Jinxuan Chen et al.

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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 Jinxuan Chen on behalf of the Authors (11 Jun 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Jun 2020) by Tomomichi Kato
RR by Anonymous Referee #2 (23 Jun 2020)
RR by Anonymous Referee #1 (10 Jul 2020)
ED: Publish as is (14 Jul 2020) by Tomomichi Kato
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Short summary
One of the essential challenge for atmospheric CO2 forecasting is predicting CO2 flux variation on synoptic timescale. For CAMS CO2 forecast, a process-based vegetation model is used. In this research we evaluate another type of model (i.e., the light-use-efficiency model VPRM), which is a data-driven approach and thus ideal for realistic estimation, on its ability of flux prediction. Errors from different sources are assessed, and overall the model is capable of CO2 flux prediction.