ICOS

LPJ-GUESS Europe hourly GPP for 2020

Download

Deprecated data

Next version(s): vVst3LS-fbiW-e7K-eOiYF-H
Latest version(s): e9hyWuISdY8PKjkVCyZAC-17
11676/z2Rvz6Bh-cjF_YnLay9gAX8W (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. (2022). LPJ-GUESS Europe hourly GPP for 2020, Miscellaneous, https://hdl.handle.net/11676/z2Rvz6Bh-cjF_YnLay9gAX8W
BibTex
@misc{https://hdl.handle.net/11676/z2Rvz6Bh-cjF_YnLay9gAX8W,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS Europe hourly GPP for 2020},
  year={2022},
  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/z2Rvz6Bh-cjF_YnLay9gAX8W},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/z2Rvz6Bh-cjF_YnLay9gAX8W}
}
RIS
TY - DATA
T1 - LPJ-GUESS Europe hourly GPP for 2020
ID - 11676/z2Rvz6Bh-cjF_YnLay9gAX8W
PY - 2022
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/z2Rvz6Bh-cjF_YnLay9gAX8W
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 (69530783 bytes)
3

Production

2022-10-03 10:00:00

Previewable variables

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

Statistics

3
2

Submission

2022-11-18 10:07:55
2022-11-18 10:07:37

Technical information

cf646fcfa061f9c8c5fd89cb6b2f60017f16184f7a709d4cc644d6d308f67bab
z2Rvz6Bh+cjF/YnLay9gAX8WGE96cJ1MxkTW0wj2e6s
S: 35, W: -10, N: 71, E: 35
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux