The product is generated in 2022. 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 global plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).
@misc{https://doi.org/10.18160/za68-kkqz,
doi = {10.18160/ZA68-KKQZ},
url = {https://meta.icos-cp.eu/collections/GDNkG_i3n6BlK9UaGNF5gb2D},
author = {Wu, Zhendong},
keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle},
title = {Global hourly NEE, GPP and total respiration for 2017-2021 based on LPJ-GUESS (generated in 2022)},
publisher = {ICOS ERIC - Carbon Portal},
year = {2022},
copyright = {CC BY 4.0}
}
TY - DATA T1 - Global hourly NEE, GPP and total respiration for 2017-2021 based on LPJ-GUESS (generated in 2022) AU - Wu, Zhendong DO - 10.18160/ZA68-KKQZ UR - https://meta.icos-cp.eu/collections/GDNkG_i3n6BlK9UaGNF5gb2D AB - The product is generated in 2022. 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 global plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). KW - Terrestrial Ecosystems KW - Land Biogeochemistry KW - Land Surface KW - Carbon cycle PY - 2022 PB - ICOS ERIC - Carbon Portal ER -