LPJ-GUESS Europe hourly rtot for 2018
11676/xAm0JbCoSYNBRQlaRrD6L8B1 (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/).
2018-01-01 00:00:00
2018-12-31 23:00:00
hourly
Wu, Z., Miller, P., Mischurow, M. (2023). LPJ-GUESS Europe hourly rtot for 2018, Miscellaneous, https://hdl.handle.net/11676/xAm0JbCoSYNBRQlaRrD6L8B1
BibTex
@misc{https://hdl.handle.net/11676/xAm0JbCoSYNBRQlaRrD6L8B1, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS Europe hourly rtot for 2018}, 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/xAm0JbCoSYNBRQlaRrD6L8B1}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/xAm0JbCoSYNBRQlaRrD6L8B1} }
RIS
TY - DATA T1 - LPJ-GUESS Europe hourly rtot for 2018 ID - 11676/xAm0JbCoSYNBRQlaRrD6L8B1 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/xAm0JbCoSYNBRQlaRrD6L8B1 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_hrtot_eu_0.5deg_2018.nc
115 MB (120690658 bytes)
3
Production
2023-06-13 00:00:00
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
rtot | ecosystem respiration | µmol m-2 s-1 | particle flux | Preview |
Statistics
15
0
Technical information
c409b425b0a849834145095a46b0fa2fc0752f1965b55697efc91f9ff043a90f
xAm0JbCoSYNBRQlaRrD6L8B1LxlltVaX78kfn/BDqQ8
S: 35, W: -10, N: 71, E: 35
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux