ICOS Carbon Portal

LPJ-GUESS global hourly RTOT for 2019

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11676/4wmAI8EE9bf7tzPA2wyR7rJU (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/).
2019-01-01 00:00:00
2019-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M., Miscellaneous, 2020. LPJ-GUESS global hourly RTOT for 2019, https://hdl.handle.net/11676/4wmAI8EE9bf7tzPA2wyR7rJU
BibTex
@misc{https://hdl.handle.net/11676/4wmAI8EE9bf7tzPA2wyR7rJU,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly RTOT for 2019},
  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/11676/4wmAI8EE9bf7tzPA2wyR7rJU},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/4wmAI8EE9bf7tzPA2wyR7rJU}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly RTOT for 2019
ID - 11676/4wmAI8EE9bf7tzPA2wyR7rJU
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/11676/4wmAI8EE9bf7tzPA2wyR7rJU
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_2019.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

16
1

Submission

2022-03-04 15:07:16

Technical information

e3098023c104f5b7fbb733c0db0c91eeb25404bf65978db0559fbc9c3a1729d3
4wmAI8EE9bf7tzPA2wyR7rJUBL9ll42wVZ+8nDoXKdM
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux