LPJ-GUESS Europe hourly NEE for 2019
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- Latest version(s): BPXH5Ty84XkHE3_KloLCepuc
11676/r0Tu1eheVrtrvCpbr-XWppyn (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/).
2019-01-01 00:00:00
2019-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2022). LPJ-GUESS Europe hourly NEE for 2019, Miscellaneous, https://hdl.handle.net/11676/r0Tu1eheVrtrvCpbr-XWppyn
BibTex
@misc{https://hdl.handle.net/11676/r0Tu1eheVrtrvCpbr-XWppyn, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS Europe hourly NEE for 2019}, 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/r0Tu1eheVrtrvCpbr-XWppyn}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/r0Tu1eheVrtrvCpbr-XWppyn} }
RIS
TY - DATA T1 - LPJ-GUESS Europe hourly NEE for 2019 ID - 11676/r0Tu1eheVrtrvCpbr-XWppyn 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/r0Tu1eheVrtrvCpbr-XWppyn 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_hnee_eu_0.5deg_2019.nc
117 MB (122996908 bytes)
3
Production
2022-10-03 10:00:00
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
nee | net ecosystem exchange | µmol m-2 s-1 | particle flux | Preview |
Statistics
2
0
Technical information
af44eed5e85e56bb6bbc2a5bafe5d6a69ca76272b84f514c251eb72468b4bfb1
r0Tu1eheVrtrvCpbr+XWppynYnK4T1FMJR63JGi0v7E
S: 35, W: -10, N: 71, E: 35
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux