ICOS Carbon Portal

LPJ-GUESS global hourly GPP for 2018

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11676/U_wAtQxm-w_3q3C6da3NIddS (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) as input to simulate the effects of environmental change on vegetation structure and composition in terms of plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
2018-01-01 00:00:00
2018-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M., Miscellaneous, 2020. LPJ-GUESS global hourly GPP for 2018, https://hdl.handle.net/11676/U_wAtQxm-w_3q3C6da3NIddS
BibTex
@misc{https://hdl.handle.net/11676/U_wAtQxm-w_3q3C6da3NIddS,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly GPP for 2018},
  year={2020},
  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) as input to simulate the effects of environmental change on vegetation structure and composition in terms of 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/U_wAtQxm-w_3q3C6da3NIddS},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/U_wAtQxm-w_3q3C6da3NIddS}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly GPP for 2018
ID - 11676/U_wAtQxm-w_3q3C6da3NIddS
PY - 2020
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) as input to simulate the effects of environmental change on vegetation structure and composition in terms of 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/U_wAtQxm-w_3q3C6da3NIddS
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_global_0.50deg_2018.nc
887 MB
3

Production

2020-05-01 10:00:00

Previewable variables

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

Statistics

10
0

Submission

2022-03-04 17:49:07

Technical information

53fc00b50c66fb0ff7ab70ba75adcd21d7527cc936204c5044451187370bd8c4
U/wAtQxm+w/3q3C6da3NIddSfMk2IExQREURhzcL2MQ
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux