ICOS

LPJ-GUESS Europe hourly RTOT for 2021

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Latest version(s): bWxPr7M6PkaXekHs7cXKyBi0
11676/S7kvfecK_1hi8-qa-0VeCGgT (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/).
2021-01-01 00:00:00
2021-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2022). LPJ-GUESS Europe hourly RTOT for 2021, Miscellaneous, https://hdl.handle.net/11676/S7kvfecK_1hi8-qa-0VeCGgT
BibTex
@misc{https://hdl.handle.net/11676/S7kvfecK_1hi8-qa-0VeCGgT,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS Europe hourly RTOT for 2021},
  year={2022},
  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/S7kvfecK_1hi8-qa-0VeCGgT},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/S7kvfecK_1hi8-qa-0VeCGgT}
}
RIS
TY - DATA
T1 - LPJ-GUESS Europe hourly RTOT for 2021
ID - 11676/S7kvfecK_1hi8-qa-0VeCGgT
PY - 2022
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/S7kvfecK_1hi8-qa-0VeCGgT
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_hrtot_eu_0.5deg_2021.nc
115 MB (120867162 bytes)
3

Production

2022-10-03 10:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
rtot ecosystem respiration µmol m-2 s-1 particle flux Preview

Statistics

10
11

Submission

2022-11-18 10:08:52
2022-11-18 10:07:38

Technical information

4bb92f7de70aff5862f3ea9afb455e086813182245f3f3ba4f3d531e5e2d39b3
S7kvfecK/1hi8+qa+0VeCGgTGCJF8/O6Tz1THl4tObM
S: 35, W: -10, N: 71, E: 35
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux