ICOS

LPJ-GUESS Europe hourly nee for 2014

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11676/fjXMly_uAtLuP6myU5gfdKal (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 European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).

2014-01-01 00:00:00
2014-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS Europe hourly nee for 2014, Miscellaneous, https://hdl.handle.net/11676/fjXMly_uAtLuP6myU5gfdKal
BibTex
@misc{https://hdl.handle.net/11676/fjXMly_uAtLuP6myU5gfdKal,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS Europe hourly nee for 2014},
  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 European 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/fjXMly_uAtLuP6myU5gfdKal},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/fjXMly_uAtLuP6myU5gfdKal}
}
RIS
TY - DATA
T1 - LPJ-GUESS Europe hourly nee for 2014
ID - 11676/fjXMly_uAtLuP6myU5gfdKal
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 European 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/fjXMly_uAtLuP6myU5gfdKal
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_eu_0.5deg_2014.nc
117 MB (122784661 bytes)
3

Production

2023-06-13 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

33
1

Submission

2023-06-15 16:24:06
2023-06-15 16:22:42

Technical information

7e35cc972fee02d2ee3fa9b253981f74a6a5652a65490219263b2e9df230d311
fjXMly/uAtLuP6myU5gfdKalZSplSQIZJjsunfIw0xE
S: 35, W: -10, N: 71, E: 35
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux