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LPJ-GUESS Europe hourly gpp for 2020

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Latest version(s): e9hyWuISdY8PKjkVCyZAC-17
11676/vVst3LS-fbiW-e7K-eOiYF-H (link)

LPJ-GUESS (revision 6562) forced with hourly ERA5 climate datasets to simulate global terrestrial NEE, GPP and total respiration in 0.5 degree. LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).

2020-01-01 00:00:00
2020-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS Europe hourly gpp for 2020, Miscellaneous, https://hdl.handle.net/11676/vVst3LS-fbiW-e7K-eOiYF-H
BibTex
@misc{https://hdl.handle.net/11676/vVst3LS-fbiW-e7K-eOiYF-H,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS Europe hourly gpp for 2020},
  year={2023},
  note={LPJ-GUESS (revision 6562) forced with hourly ERA5 climate datasets to simulate global terrestrial NEE, GPP and total respiration in 0.5 degree. LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).},
  keywords={Carbon Dioxide, Carbon Cycle, Land Biogeochemistry, Terrestrial Ecosystems},
  url={https://hdl.handle.net/11676/vVst3LS-fbiW-e7K-eOiYF-H},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/vVst3LS-fbiW-e7K-eOiYF-H}
}
RIS
TY - DATA
T1 - LPJ-GUESS Europe hourly gpp for 2020
ID - 11676/vVst3LS-fbiW-e7K-eOiYF-H
PY - 2023
AB - LPJ-GUESS (revision 6562) forced with hourly ERA5 climate datasets to simulate global terrestrial NEE, GPP and total respiration in 0.5 degree. LPJ-GUESS is a process-based dynamic global vegetation model, it uses time series data (e.g. climate forcing and atmospheric carbon dioxide concentrations with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
UR - https://hdl.handle.net/11676/vVst3LS-fbiW-e7K-eOiYF-H
PB - Carbon Portal
AU - Wu, Zhendong
AU - Miller, Paul
AU - Mischurow, Michael
KW - Carbon Dioxide
KW - Carbon Cycle
KW - Land Biogeochemistry
KW - Terrestrial Ecosystems
ER - 
conv_lpj_hgpp_eu_0.5deg_2020.nc
66 MB (69535562 bytes)
3

Production

2023-06-13 00:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
gpp gross primary CO2 production µmol m-2 s-1 particle flux Preview

Statistics

16
0

Submission

2023-06-15 16:23:31
2023-06-15 16:22:41

Technical information

bd5b2ddcb4be7db896f9eecaf9e3a2605f87e1f9b8b406b31c73868d1cdf6018
vVst3LS+fbiW+e7K+eOiYF+H4fm4tAazHHOGjRzfYBg
S: 35, W: -10, N: 71, E: 35
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux