ICOS

LPJ-GUESS global hourly RTOT for 2019 (generated in 2022)

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Latest version(s): MACaxevyht6bK5Yr8j_yTlGg
11676/XvnPk2mjaNYnoHGv-ZaUln7Z (link)
The product is generated in 2021. 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 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. (2021). LPJ-GUESS global hourly RTOT for 2019 (generated in 2022), Miscellaneous, https://hdl.handle.net/11676/XvnPk2mjaNYnoHGv-ZaUln7Z
BibTex
@misc{https://hdl.handle.net/11676/XvnPk2mjaNYnoHGv-ZaUln7Z,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly RTOT for 2019 (generated in 2022)},
  year={2021},
  note={The product is generated in 2021. 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 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/XvnPk2mjaNYnoHGv-ZaUln7Z},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/XvnPk2mjaNYnoHGv-ZaUln7Z}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly RTOT for 2019 (generated in 2022)
ID - 11676/XvnPk2mjaNYnoHGv-ZaUln7Z
PY - 2021
AB - The product is generated in 2021. 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 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/XvnPk2mjaNYnoHGv-ZaUln7Z
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_2019.nc
2 GB (1806812755 bytes)
3

Production

2021-10-03 10:00:00

Previewable variables

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

Statistics

3
0

Submission

2022-11-16 11:49:22
2022-11-16 09:32:21

Technical information

5ef9cf9369a368d627a071aff99694967ed99c871a0b541673544aeedcbfb5bb
XvnPk2mjaNYnoHGv+ZaUln7ZnIcaC1QWc1RK7ty/tbs
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux