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LPJ-GUESS global hourly NEE for 2017 (generated in 2022)

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Latest version(s): v_5Al_igJFoYItGy6weDKFoR
11676/RZIFi4pa7liD3DkjgFpWo03O (link)

The product is generated in 2021. 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 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. (2021). LPJ-GUESS global hourly NEE for 2017 (generated in 2022), Miscellaneous, https://hdl.handle.net/11676/RZIFi4pa7liD3DkjgFpWo03O
BibTex
@misc{https://hdl.handle.net/11676/RZIFi4pa7liD3DkjgFpWo03O,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly NEE for 2017 (generated in 2022)},
  year={2021},
  note={The product is generated in 2021. 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 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/RZIFi4pa7liD3DkjgFpWo03O},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/RZIFi4pa7liD3DkjgFpWo03O}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly NEE for 2017 (generated in 2022)
ID - 11676/RZIFi4pa7liD3DkjgFpWo03O
PY - 2021
AB - The product is generated in 2021. 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 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/RZIFi4pa7liD3DkjgFpWo03O
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_2017.nc
2 GB (1834027696 bytes)
3

Production

2021-10-03 10:00:00

Previewable variables

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

Statistics

4
0

Submission

2022-11-16 11:44:56
2022-11-16 08:43:23

Technical information

4592058b8a5aee5883dc3923805a56a34dceb6a567352fdb154408402331763e
RZIFi4pa7liD3DkjgFpWo03OtqVnNS/bFUQIQCMxdj4
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux