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LPJ-GUESS global hourly GPP for 2017

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11676/HRsZCwNLCPGTeA4hN2j-M_IJ (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/).
2017-01-01 00:00:00
2017-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M., Miscellaneous, 2020. LPJ-GUESS global hourly GPP for 2017, https://hdl.handle.net/11676/HRsZCwNLCPGTeA4hN2j-M_IJ
BibTex
@misc{https://hdl.handle.net/11676/HRsZCwNLCPGTeA4hN2j-M_IJ,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly GPP for 2017},
  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/HRsZCwNLCPGTeA4hN2j-M_IJ},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/HRsZCwNLCPGTeA4hN2j-M_IJ}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly GPP for 2017
ID - 11676/HRsZCwNLCPGTeA4hN2j-M_IJ
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/HRsZCwNLCPGTeA4hN2j-M_IJ
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_2017.nc
894 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

13
0

Submission

2022-03-04 17:58:38

Technical information

1d1b190b034b08f193780e213768fe33f20940a0b5bc05b8a7e42b0ef77ce79c
HRsZCwNLCPGTeA4hN2j+M/IJQKC1vAW4p+QrDvd855w
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux