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LPJ-GUESS global hourly NEE for 2017

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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. (2020). LPJ-GUESS global hourly NEE for 2017, Miscellaneous, https://hdl.handle.net/11676/yUsFQCX9GsEEW51xwleFE_0g
BibTex
@misc{https://hdl.handle.net/11676/yUsFQCX9GsEEW51xwleFE_0g,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly NEE 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/yUsFQCX9GsEEW51xwleFE_0g},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/yUsFQCX9GsEEW51xwleFE_0g}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly NEE for 2017
ID - 11676/yUsFQCX9GsEEW51xwleFE_0g
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/yUsFQCX9GsEEW51xwleFE_0g
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_0.50deg_2017.nc
2 GB (1833702356 bytes)
3

Production

2020-05-01 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

13
1

Submission

2022-03-04 17:57:03
2022-03-04 17:00:49

Technical information

c94b054025fd1ac1045b9d71c2578513fd208640caf21459afc959bbc05687fc
yUsFQCX9GsEEW51xwleFE/0ghkDK8hRZr8lZu8BWh/w
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux