Global hourly NEE, GPP and total respiration for 2010-2022 based on LPJ-GUESS (generated in 2023)

@misc{https://doi.org/10.18160/vdem-19mu,
  doi = {10.18160/VDEM-19MU},
  url = {https://meta.icos-cp.eu/collections/NZNSUglRn0VeXmGDovuVY0ec},
  author = {Wu, Zhendong},
  keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle},
  title = {Global hourly NEE, GPP and total respiration for 2010-2022 based on LPJ-GUESS (generated in 2023)},
  publisher = {ICOS ERIC - Carbon Portal},
  year = {2023},
  copyright = {CC BY 4.0}
}

TY  - DATA
T1  - Global hourly NEE, GPP and total respiration for 2010-2022 based on LPJ-GUESS (generated in 2023)
AU  - Wu, Zhendong
DO  - 10.18160/VDEM-19MU
UR  - https://meta.icos-cp.eu/collections/NZNSUglRn0VeXmGDovuVY0ec
AB  - The product is generated in 2023. 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  - 2023
PB  - ICOS ERIC - Carbon Portal
ER  -