ICOS

LPJ-GUESS global hourly RTOT for 2014 (generated in 2023)

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11676/SZVcBUK8GqtVc8Hx29ILDldY (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 global 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 global hourly RTOT for 2014 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/SZVcBUK8GqtVc8Hx29ILDldY
BibTex
@misc{https://hdl.handle.net/11676/SZVcBUK8GqtVc8Hx29ILDldY,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly RTOT for 2014 (generated in 2023)},
  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 global 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/SZVcBUK8GqtVc8Hx29ILDldY},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/SZVcBUK8GqtVc8Hx29ILDldY}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly RTOT for 2014 (generated in 2023)
ID - 11676/SZVcBUK8GqtVc8Hx29ILDldY
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 global 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/SZVcBUK8GqtVc8Hx29ILDldY
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_global_0.5deg_2014.nc
1 GB (1579279843 bytes)
3

Production

2023-06-20 00:00:00

Previewable variables

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

Statistics

11
0

Submission

2023-06-21 14:36:01
2023-06-21 14:16:42

Technical information

49955c0542bc1aab5573c1f1dbd20b0e575817092937b029a3aba56daa70f931
SZVcBUK8GqtVc8Hx29ILDldYFwkpN7Apo6ulbapw+TE
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux