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VPRM biosphere model result for 2022: ecosystem respiration of CO2 (generated in 2024)

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10.18160/R5HS-YKW0 (target, metadata)
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VPRM biosphere model results in Europe for 2022-2023. Biosphere-atmosphere exchange flux simulations were performed using:

  • Vegetation Photosynthesis and Respiration Model VPRM (Mahadevan et al., 2008, https://doi.org/10.1029/2006GB002735)
  • VPRM parameters optimized for the year 2007 using 46 sites within Europe (available from www.europe-fluxdata.eu)
  • VPRM preprocessor code version Rev.116
  • VPRM optimization code version Rev.7
  • VPRM offline code version Rev. 13
  • MODIS Terra MOD09A1 surface reflectances version 6.1
  • Downward shortwave radiation and 2m Temperature extracted from analysis and short-term forecast fields from the ECMWF IFS model
  • Landcover classification based on SYNMAP (Jung et al., 2006, https://doi.org/10.1016/j.rse.2006.01.020) Note that this new version of VPRM fluxes is based on MODIS V6.1 instead of V6.0 as in the previous VPRM fluxes https://doi.org/10.18160/VX78-HVA1. Results for 2022 are provided with both versions for comparison, showing a mean difference in GEE of 0.02%. This allows to cautiously extend the VPRM 2006-2022 dataset with this new version.
2022-01-01 01:00:00
2023-01-01 00:00:00
hourly
Gerbig, C., Koch, F.-T., 2023. Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM for 2022-2023. https://doi.org/10.18160/R5HS-YKW0
BibTex
@misc{https://doi.org/10.18160/r5hs-ykw0,
  doi = {10.18160/R5HS-YKW0},
  url = {https://meta.icos-cp.eu/collections/5FZduEJujF25pfy1HoEfNdXp},
  author = {Gerbig, Christoph and Koch, Frank-Thomas},
  keywords = {Biogeochemical cycles, processes, and modeling, Terrestrial Carbon Fluxes, Biosphere modelling},
  title = {Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM for 2022-2023},
  publisher = {ICOS-ERIC - Carbon Portal},
  year = {2024},
  copyright = {Creative Commons Attribution 4.0 International}
}
RIS
TY  - GEN
T1  - Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM for 2022-2023
AU  - Gerbig, Christoph
AU  - Koch, Frank-Thomas
DO  - 10.18160/R5HS-YKW0
UR  - https://meta.icos-cp.eu/collections/5FZduEJujF25pfy1HoEfNdXp
AB  - VPRM biosphere model results in Europe for 2022-2023. Biosphere-atmosphere exchange flux simulations were performed using:
- Vegetation Photosynthesis and Respiration Model VPRM (Mahadevan et al., 2008, https://doi.org/10.1029/2006GB002735) 
- VPRM parameters optimized for the year 2007 using 46 sites within Europe (available from www.europe-fluxdata.eu)
- VPRM preprocessor code version Rev.116
- VPRM optimization code version Rev.7
- VPRM offline code version Rev. 13
- MODIS Terra MOD09A1 surface reflectances version 6.1
- Downward shortwave radiation and 2m Temperature extracted from analysis and short-term forecast fields from the ECMWF IFS model
- Landcover classification based on SYNMAP (Jung et al., 2006, https://doi.org/10.1016/j.rse.2006.01.020)
Note that this new version of VPRM fluxes is based on MODIS V6.1 instead of V6.0 as in the previous VPRM fluxes https://doi.org/10.18160/VX78-HVA1. Results for 2022 are provided with both versions for comparison, showing a mean difference in GEE of 0.02%. This allows to cautiously extend the VPRM 2006-2022 dataset with this new version.
KW  - Biogeochemical cycles, processes, and modeling
KW  - Terrestrial Carbon Fluxes
KW  - Biosphere modelling
PY  - 2024
PB  - ICOS-ERIC - Carbon Portal
ER  -
VPRM_ECMWF_RESP_2022_CP.nc
3 GB (2781642716 bytes)
3

Production

2024-07-03 15:38:16

Previewable variables

Name Value type Unit Quantity kind Preview
RESP ecosystem respiration µmol m-2 s-1 particle flux Preview

Statistics

2
1

Submission

2024-07-09 11:11:16
2024-07-09 11:07:40

Technical information

db657d8e9b67e71967ab0f2ac1abe434c903017116bcd8e8782da994e2bc0722
22V9jptn5xlnqw8qwavkNMkDAXEWvNjoeC2plOK8ByI
S: 33.041667, W: -14.9375, N: 72.958333, E: 34.9375
CO2 VPRM biosphere modeling carbon flux