LPJ-GUESS Europe hourly gpp for 2017
11676/XSqz_GDtXW32ZNYvnKciUQkw (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/).
2017-01-01 00:00:00
2017-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS Europe hourly gpp for 2017, Miscellaneous, https://hdl.handle.net/11676/XSqz_GDtXW32ZNYvnKciUQkw
BibTex
@misc{https://hdl.handle.net/11676/XSqz_GDtXW32ZNYvnKciUQkw, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS Europe hourly gpp for 2017}, 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/XSqz_GDtXW32ZNYvnKciUQkw}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/XSqz_GDtXW32ZNYvnKciUQkw} }
RIS
TY - DATA T1 - LPJ-GUESS Europe hourly gpp for 2017 ID - 11676/XSqz_GDtXW32ZNYvnKciUQkw 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/XSqz_GDtXW32ZNYvnKciUQkw 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_2017.nc
65 MB (68001934 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
8
0
Technical information
5d2ab3fc60ed5d6df664d62f9ca72251093013418c096a4c7c0babb517cb5267
XSqz/GDtXW32ZNYvnKciUQkwE0GMCWpMfAurtRfLUmc
S: 35, W: -10, N: 71, E: 35
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux