ICOS

LPJ-GUESS Europe hourly nee for 2013

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11676/Qq1gU_erVYlcS_LTrbxdu693 (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/).

2013-01-01 00:00:00
2013-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS Europe hourly nee for 2013, Miscellaneous, https://hdl.handle.net/11676/Qq1gU_erVYlcS_LTrbxdu693
BibTex
@misc{https://hdl.handle.net/11676/Qq1gU_erVYlcS_LTrbxdu693,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS Europe hourly nee for 2013},
  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/Qq1gU_erVYlcS_LTrbxdu693},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/Qq1gU_erVYlcS_LTrbxdu693}
}
RIS
TY - DATA
T1 - LPJ-GUESS Europe hourly nee for 2013
ID - 11676/Qq1gU_erVYlcS_LTrbxdu693
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/Qq1gU_erVYlcS_LTrbxdu693
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_2013.nc
117 MB (123032751 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

19
4

Submission

2023-06-15 16:24:00
2023-06-15 16:22:42

Technical information

42ad6053f7ab55895c4bf2d3adbc5dbbaf77928cbd86bcd3b6d88d2c1b8fd77c
Qq1gU/erVYlcS/LTrbxdu693koy9hrzTttiNLBuP13w
S: 35, W: -10, N: 71, E: 35
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux