LPJ-GUESS Europe hourly RTOT for 2018
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- Latest version(s): xAm0JbCoSYNBRQlaRrD6L8B1
11676/FIUcpsLh3dhRH-nypUTXzzCt (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. (2022). LPJ-GUESS Europe hourly RTOT for 2018, Miscellaneous, https://hdl.handle.net/11676/FIUcpsLh3dhRH-nypUTXzzCt
BibTex
@misc{https://hdl.handle.net/11676/FIUcpsLh3dhRH-nypUTXzzCt, author={Wu, Zhendong and Miller, Paul and Mischurow, Michael}, title={LPJ-GUESS Europe hourly RTOT for 2018}, 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/FIUcpsLh3dhRH-nypUTXzzCt}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/FIUcpsLh3dhRH-nypUTXzzCt} }
RIS
TY - DATA T1 - LPJ-GUESS Europe hourly RTOT for 2018 ID - 11676/FIUcpsLh3dhRH-nypUTXzzCt 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/FIUcpsLh3dhRH-nypUTXzzCt 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 (120685890 bytes)
3
Production
2022-10-03 10:00:00
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
rtot | ecosystem respiration | µmol m-2 s-1 | particle flux | Preview |
Statistics
2
0
Technical information
14851ca6c2e1ddd8511fe9f2a544d7cf30ad8547ae5bbcde0346f2e053b0ea88
FIUcpsLh3dhRH+nypUTXzzCthUeuW7zeA0by4FOw6og
S: 35, W: -10, N: 71, E: 35
Carbon Cycle
Carbon Dioxide
Land Biogeochemistry
Terrestrial Ecosystems
biosphere modeling
carbon flux