ICOS

LPJ-GUESS global hourly GPP for 2016 (generated in 2023)

Download

Deprecated data

Latest version(s): IIQH5PegfjjwjFb62u_wjm-B
11676/aLcokFWkeQH4AzcvZ2vJDmot (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/).
2016-01-01 00:00:00
2016-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS global hourly GPP for 2016 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/aLcokFWkeQH4AzcvZ2vJDmot
BibTex
@misc{https://hdl.handle.net/11676/aLcokFWkeQH4AzcvZ2vJDmot,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly GPP for 2016 (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/aLcokFWkeQH4AzcvZ2vJDmot},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/aLcokFWkeQH4AzcvZ2vJDmot}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly GPP for 2016 (generated in 2023)
ID - 11676/aLcokFWkeQH4AzcvZ2vJDmot
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/aLcokFWkeQH4AzcvZ2vJDmot
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_2016.nc
867 MB (909390190 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

7
0

Submission

2023-06-21 14:20:30
2023-06-21 14:16:38

Technical information

68b7289055a47901f803372f676bc90e6a2dcfe00b073a9f90db7267dcb4a68b
aLcokFWkeQH4AzcvZ2vJDmotz+ALBzqfkNtyZ9y0pos
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux