The product is generated in 2021. 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 plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
@misc{https://hdl.handle.net/11676/7gD6Gz3BpIMSQMcyFeBXVc6l,
author={Wu, Zhendong and Miller, Paul and Mischurow, Michael},
title={LPJ-GUESS global hourly RTOT for 2018 (generated in 2022), 2018-01-01–2018-12-31},
year={2021},
note={The product is generated in 2021. 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 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/11676/7gD6Gz3BpIMSQMcyFeBXVc6l},
publisher={Carbon Portal},
copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
pid={11676/7gD6Gz3BpIMSQMcyFeBXVc6l}
}
TY - DATA T1 - LPJ-GUESS global hourly RTOT for 2018 (generated in 2022), 2018-01-01–2018-12-31 ID - 11676/7gD6Gz3BpIMSQMcyFeBXVc6l PY - 2021 AB - The product is generated in 2021. 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 plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). UR - https://hdl.handle.net/11676/7gD6Gz3BpIMSQMcyFeBXVc6l 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 -
| Name | Value type | Unit | Quantity kind | Preview |
|---|---|---|---|---|
| rtot | ecosystem respiration | µmol m-2 s-1 | particle flux | Preview |