ICOS

LPJ-GUESS global hourly GPP for 2015 (generated in 2023)

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11676/dqa8dK2aid-9e27fampVST8r (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 global plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
2015-01-01 00:00:00
2015-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS global hourly GPP for 2015 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/dqa8dK2aid-9e27fampVST8r
BibTex
@misc{https://hdl.handle.net/11676/dqa8dK2aid-9e27fampVST8r,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly GPP for 2015 (generated in 2023)},
  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 global 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/dqa8dK2aid-9e27fampVST8r},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/dqa8dK2aid-9e27fampVST8r}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly GPP for 2015 (generated in 2023)
ID - 11676/dqa8dK2aid-9e27fampVST8r
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 global 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/dqa8dK2aid-9e27fampVST8r
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_0.5deg_2015.nc
866 MB (908331198 bytes)
3

Production

2023-06-20 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

6
0

Submission

2023-06-21 14:19:58
2023-06-21 14:16:38

Technical information

76a6bc74ad9a89dfbd7b6edf6a6a55493f2b328713a29a43de92f74cf0b435cd
dqa8dK2aid+9e27fampVST8rMocToppD3pL3TPC0Nc0
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux