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LPJ-GUESS global hourly GPP for 2022 (generated in 2023)

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Latest version(s): USWY0jyz3a4fXWLaXKU1JiaP
11676/80jv9DU3vq_YjsdLriqiV-oY (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 with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of global plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).

2022-01-01 00:00:00
2022-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS global hourly GPP for 2022 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/80jv9DU3vq_YjsdLriqiV-oY
BibTex
@misc{https://hdl.handle.net/11676/80jv9DU3vq_YjsdLriqiV-oY,
  author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
  title={LPJ-GUESS global hourly GPP for 2022 (generated in 2023)},
  year={2023},
  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 with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of global 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/11676/80jv9DU3vq_YjsdLriqiV-oY},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/80jv9DU3vq_YjsdLriqiV-oY}
}
RIS
TY - DATA
T1 - LPJ-GUESS global hourly GPP for 2022 (generated in 2023)
ID - 11676/80jv9DU3vq_YjsdLriqiV-oY
PY - 2023
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 with WMO CO2 X2019 scale) as input to simulate the effects of environmental change on vegetation structure and composition in terms of global plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
UR - https://hdl.handle.net/11676/80jv9DU3vq_YjsdLriqiV-oY
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_2022.nc
865 MB (907440883 bytes)
3

Production

2023-06-20 00:00:00

Previewable variables

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

Statistics

9
5

Submission

2023-06-21 14:23:37
2023-06-21 14:16:39

Technical information

f348eff43537beafd88ec74bae2aa257ea18e1ac2ae4bb6402299c42a6a5be23
80jv9DU3vq/YjsdLriqiV+oY4awq5LtkAimcQqalviM
S: -90, W: -180, N: 90, E: 180
Carbon Cycle Carbon Dioxide Land Biogeochemistry Terrestrial Ecosystems biosphere modeling carbon flux