Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 9
Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4091-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-13-4091-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 9
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, Christoph Gerbig, Julia Marshall, and Kai Uwe Totsche

Viewed

Total article views: 2,602 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,742 774 86 2,602 81 85
  • HTML: 1,742
  • PDF: 774
  • XML: 86
  • Total: 2,602
  • BibTeX: 81
  • EndNote: 85
Views and downloads (calculated since 23 Jul 2019)
Cumulative views and downloads (calculated since 23 Jul 2019)

Viewed (geographical distribution)

Total article views: 2,602 (including HTML, PDF, and XML) Thereof 2,270 with geography defined and 332 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
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.
Read more
Special issue
CoMet: a mission to improve our understanding and to better...