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LPJ-GUESS Europe hourly RTOT for 2019

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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 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/).
2019-01-01 00:00:00
2019-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2022). LPJ-GUESS Europe hourly RTOT for 2019, Miscellaneous, https://hdl.handle.net/11676/PXYkrI9f2KsJQrxQYPeEFhTg
BibTex
@misc{https://hdl.handle.net/11676/PXYkrI9f2KsJQrxQYPeEFhTg,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS Europe hourly RTOT for 2019},
  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/PXYkrI9f2KsJQrxQYPeEFhTg},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/PXYkrI9f2KsJQrxQYPeEFhTg}
}
RIS
TY - DATA
T1 - LPJ-GUESS Europe hourly RTOT for 2019
ID - 11676/PXYkrI9f2KsJQrxQYPeEFhTg
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/PXYkrI9f2KsJQrxQYPeEFhTg
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_2019.nc
115 MB (120819105 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

2
3

Submission

2022-11-18 10:08:42
2022-11-18 10:07:38

Technical information

3d7624ac8f5fd8ab0942bc5060f7841614e031f5842a054a69e130451b77b175
PXYkrI9f2KsJQrxQYPeEFhTgMfWEKgVKaeEwRRt3sXU
S: 35, W: -10, N: 71, E: 35
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux