ICOS Carbon Portal

LPJ-GUESS global hourly RTOT for 2017

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11676/PR2VAvb7d02zX4PMJz8RJS8e (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) 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/).
2017-01-01 00:00:00
2017-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M., Miscellaneous, 2020. LPJ-GUESS global hourly RTOT for 2017, https://hdl.handle.net/11676/PR2VAvb7d02zX4PMJz8RJS8e
BibTex
@misc{https://hdl.handle.net/11676/PR2VAvb7d02zX4PMJz8RJS8e,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly RTOT for 2017},
  year={2020},
  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) 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/PR2VAvb7d02zX4PMJz8RJS8e},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/PR2VAvb7d02zX4PMJz8RJS8e}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly RTOT for 2017
ID - 11676/PR2VAvb7d02zX4PMJz8RJS8e
PY - 2020
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) 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/PR2VAvb7d02zX4PMJz8RJS8e
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_0.50deg_2017.nc
2 GB
3

Production

2020-05-01 10:00:00

Previewable variables

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

Statistics

10
2

Submission

2022-03-04 18:05:54

Technical information

3d1d9502f6fb774db35f83cc273f11252f1e1ee6c86fd984dc54a148fabca4ee
PR2VAvb7d02zX4PMJz8RJS8eHubIb9mE3FShSPq8pO4
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux