LPJ-GUESS global hourly GPP for 2018 (generated in 2023)
11676/RIK1RNiquDpn21-5z2DKK5OD (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/).
2018-01-01 00:00:00
2018-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS global hourly GPP for 2018 (generated in 2023), Miscellaneous, https://hdl.handle.net/11676/RIK1RNiquDpn21-5z2DKK5OD
BibTex
@misc{https://hdl.handle.net/11676/RIK1RNiquDpn21-5z2DKK5OD, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS global hourly GPP for 2018 (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/RIK1RNiquDpn21-5z2DKK5OD}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/RIK1RNiquDpn21-5z2DKK5OD} }
RIS
TY - DATA T1 - LPJ-GUESS global hourly GPP for 2018 (generated in 2023) ID - 11676/RIK1RNiquDpn21-5z2DKK5OD 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/RIK1RNiquDpn21-5z2DKK5OD 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_2018.nc
857 MB (898346001 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
8
0
Technical information
4482b544d8aab83a67db5fb9cf60ca2b93833422bb742eb95b1142d00f6b1ea9
RIK1RNiquDpn21+5z2DKK5ODNCK7dC65WxFC0A9rHqk
S: -90, W: -180, N: 90, E: 180
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux