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

Data sets

MOD09A1 MODIS/Terra Surface Reflectance 8-Day L3 Global 500 m SIN Grid V006 E. Vermote https://doi.org/10.5067/MODIS/MOD09A1.006

ECMWF meteorology data ECMWF's Meteorological Archival and Retrieval System (MARS) https://confluence.ecmwf.int/display/UDOC/MARS+user+documentation

Model code and software

Short-term forecasting of regional biospheric CO2 fluxes in Europe using a light-use-efficiency model - Model code and output J. Chen and C. Gerbig https://doi.org/10.17617/3.2d

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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.
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