LPJ-GUESS Europe hourly GPP for 2021
Deprecated data
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11676/QzJhCh971hmGsfHUso-wBCAp (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/).
2021-01-01 00:00:00
2021-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2022). LPJ-GUESS Europe hourly GPP for 2021, Miscellaneous, https://hdl.handle.net/11676/QzJhCh971hmGsfHUso-wBCAp
BibTex
@misc{https://hdl.handle.net/11676/QzJhCh971hmGsfHUso-wBCAp, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS Europe hourly GPP for 2021}, year={2022}, 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/QzJhCh971hmGsfHUso-wBCAp}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/QzJhCh971hmGsfHUso-wBCAp} }
RIS
TY - DATA T1 - LPJ-GUESS Europe hourly GPP for 2021 ID - 11676/QzJhCh971hmGsfHUso-wBCAp PY - 2022 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/QzJhCh971hmGsfHUso-wBCAp 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_2021.nc
65 MB (67795333 bytes)
3
Production
2022-10-03 10:00:00
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
gpp | gross primary CO2 production | µmol m-2 s-1 | particle flux | Preview |
Statistics
5
1
Technical information
4332610a1f7bd61986b1f1d4b28fb0042029b6ffec155b1a9c9450b7ab95a7fb
QzJhCh971hmGsfHUso+wBCAptv/sFVsanJRQt6uVp/s
S: 35, W: -10, N: 71, E: 35
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux