ICOS Carbon Portal

LPJ-GUESS global hourly RTOT for 2020

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11676/wiYzpmXW4n8PrM1u_F-Fm8Z4 (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/).
2020-01-01 00:00:00
2020-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M., Miscellaneous, 2020. LPJ-GUESS global hourly RTOT for 2020, https://hdl.handle.net/11676/wiYzpmXW4n8PrM1u_F-Fm8Z4
BibTex
@misc{https://hdl.handle.net/11676/wiYzpmXW4n8PrM1u_F-Fm8Z4,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly RTOT for 2020},
  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/wiYzpmXW4n8PrM1u_F-Fm8Z4},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/wiYzpmXW4n8PrM1u_F-Fm8Z4}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly RTOT for 2020
ID - 11676/wiYzpmXW4n8PrM1u_F-Fm8Z4
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/wiYzpmXW4n8PrM1u_F-Fm8Z4
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_2020.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

9
0

Submission

2022-03-04 17:53:30

Technical information

c22633a665d6e27f0faccd6efc5f859bc678e36bc9c8b3cf451c3ae3b3492362
wiYzpmXW4n8PrM1u/F+Fm8Z442vJyLPPRRw647NJI2I
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux