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LPJ-GUESS global hourly GPP for 2020 (generated in 2022)

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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/).

2020-01-01 00:00:00
2020-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2021). LPJ-GUESS global hourly GPP for 2020 (generated in 2022), Miscellaneous, https://hdl.handle.net/11676/FqpE7tixtaCBbN5_1u_ywpnp
BibTex
@misc{https://hdl.handle.net/11676/FqpE7tixtaCBbN5_1u_ywpnp,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly GPP for 2020 (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/FqpE7tixtaCBbN5_1u_ywpnp},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/FqpE7tixtaCBbN5_1u_ywpnp}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly GPP for 2020 (generated in 2022)
ID - 11676/FqpE7tixtaCBbN5_1u_ywpnp
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/FqpE7tixtaCBbN5_1u_ywpnp
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_2020.nc
903 MB (946717734 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

9
0

Submission

2022-11-16 11:43:53
2022-11-16 09:32:20

Technical information

16aa44eed8b1b5a0816cde7fd6eff2c299e956c031f3ab92d89ed38cdcff5e94
FqpE7tixtaCBbN5/1u/ywpnpVsAx86uS2J7TjNz/XpQ
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux