LPJ-GUESS Europe hourly gpp for 2022
11676/g1SQAcJZnSyzjtdvaCqLOChj (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/).
2022-01-01 00:00:00
2022-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS Europe hourly gpp for 2022, Miscellaneous, https://hdl.handle.net/11676/g1SQAcJZnSyzjtdvaCqLOChj
BibTex
@misc{https://hdl.handle.net/11676/g1SQAcJZnSyzjtdvaCqLOChj, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS Europe hourly gpp for 2022}, 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/g1SQAcJZnSyzjtdvaCqLOChj}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/g1SQAcJZnSyzjtdvaCqLOChj} }
RIS
TY - DATA T1 - LPJ-GUESS Europe hourly gpp for 2022 ID - 11676/g1SQAcJZnSyzjtdvaCqLOChj 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/g1SQAcJZnSyzjtdvaCqLOChj 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_2022.nc
65 MB (68144770 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
10
4
Technical information
83549001c2599d2cb38ed76f682a8b3828639cf04240b735c819f0101aade44c
g1SQAcJZnSyzjtdvaCqLOChjnPBCQLc1yBnwEBqt5Ew
S: 35, W: -10, N: 71, E: 35
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux