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LPJ-GUESS global hourly GPP for 2019

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11676/lSflvkMxh9PeVghCFhrw7kt3 (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 GPP for 2019, https://hdl.handle.net/11676/lSflvkMxh9PeVghCFhrw7kt3
BibTex
@misc{https://hdl.handle.net/11676/lSflvkMxh9PeVghCFhrw7kt3,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly GPP 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/lSflvkMxh9PeVghCFhrw7kt3},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/lSflvkMxh9PeVghCFhrw7kt3}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly GPP for 2019
ID - 11676/lSflvkMxh9PeVghCFhrw7kt3
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/lSflvkMxh9PeVghCFhrw7kt3
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_hgpp_global_0.50deg_2019.nc
897 MB
3

Production

2020-05-01 10:00:00

Previewable variables

Name Value type Unit Quantity kind
gpp gross primary CO2 production µmol m-2 s-1 particle flux

Statistics

10
0

Submission

2022-03-04 17:43:40

Technical information

9527e5be433187d3de560842161af0ee4b77d0ea504b44f5731cc0956e7845cb
lSflvkMxh9PeVghCFhrw7kt30OpQS0T1cxzAlW54Rcs
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux