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LPJ-GUESS global hourly GPP for 2021 (generated in 2022)

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Latest version(s): cZk3_W1RcImuJZB65p6indD9
11676/4eQ2k_sdkm83_nbGKCqkKKAe (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/).
2021-01-01 00:00:00
2021-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2021). LPJ-GUESS global hourly GPP for 2021 (generated in 2022), Miscellaneous, https://hdl.handle.net/11676/4eQ2k_sdkm83_nbGKCqkKKAe
BibTex
@misc{https://hdl.handle.net/11676/4eQ2k_sdkm83_nbGKCqkKKAe,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly GPP for 2021 (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/11676/4eQ2k_sdkm83_nbGKCqkKKAe},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/4eQ2k_sdkm83_nbGKCqkKKAe}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly GPP for 2021 (generated in 2022)
ID - 11676/4eQ2k_sdkm83_nbGKCqkKKAe
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/11676/4eQ2k_sdkm83_nbGKCqkKKAe
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_0.5deg_2021.nc
898 MB (942116600 bytes)
3

Production

2021-10-03 10:00:00

Previewable variables

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

Statistics

10
0

Submission

2022-11-16 11:44:17
2022-11-16 09:32:20

Technical information

e1e43693fb1d926f37fe76c6282aa428a01e79d469ab2697157f52cc456570b6
4eQ2k/sdkm83/nbGKCqkKKAeedRpqyaXFX9SzEVlcLY
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux