LPJ-GUESS Europe hourly gpp for 2016
Deprecated data
Latest version(s):
unytxCtTItVd0QvDdqa5EqYY
11676/4fu4FEiDaPM6V2V5IVvBJysR (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 European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
2016-01-01 00:00:00
2016-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS Europe hourly gpp for 2016, Miscellaneous, https://hdl.handle.net/11676/4fu4FEiDaPM6V2V5IVvBJysR
BibTex
@misc{https://hdl.handle.net/11676/4fu4FEiDaPM6V2V5IVvBJysR, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS Europe hourly gpp for 2016}, 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 European 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/11676/4fu4FEiDaPM6V2V5IVvBJysR}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/4fu4FEiDaPM6V2V5IVvBJysR} }
RIS
TY - DATA T1 - LPJ-GUESS Europe hourly gpp for 2016 ID - 11676/4fu4FEiDaPM6V2V5IVvBJysR 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 European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). UR - https://hdl.handle.net/11676/4fu4FEiDaPM6V2V5IVvBJysR 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_eu_0.5deg_2016.nc
65 MB (68299190 bytes)
3
Production
2023-06-13 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
15
1
Technical information
e1fbb814488368f33a576579215bc1272b11702b3c43bd2e237fee18a16a383a
4fu4FEiDaPM6V2V5IVvBJysRcCs8Q70uI3/uGKFqODo
S: 35, W: -10, N: 71, E: 35
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux