Articles | Volume 13, issue 9
Geosci. Model Dev., 13, 4091–4106, 2020

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

Geosci. Model Dev., 13, 4091–4106, 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.


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
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.