ICOS

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

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11676/iqm29iYJsy-33RjLfGIMcKT7 (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 NEE for 2015 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/iqm29iYJsy-33RjLfGIMcKT7
BibTex
@misc{https://hdl.handle.net/11676/iqm29iYJsy-33RjLfGIMcKT7,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly NEE 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/iqm29iYJsy-33RjLfGIMcKT7},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/iqm29iYJsy-33RjLfGIMcKT7}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly NEE for 2015 (generated in 2023)
ID - 11676/iqm29iYJsy-33RjLfGIMcKT7
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/iqm29iYJsy-33RjLfGIMcKT7
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_hnee_global_0.5deg_2015.nc
2 GB (1611706767 bytes)
3

Production

2023-06-20 00:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
nee net ecosystem exchange µmol m-2 s-1 particle flux Preview

Statistics

27
1

Submission

2023-06-21 14:27:48
2023-06-21 14:16:40

Technical information

8aa9b6f62609b32fb7dd18cb7c620c70a4fbcdb529ed1910ae919c79bc105d95
iqm29iYJsy+33RjLfGIMcKT7zbUp7RkQrpGcebwQXZU
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux