Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS

Citation
Wu, Z. (2022). Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS (Version 1.0) [Data set]. ICOS ERIC - Carbon Portal. https://doi.org/10.18160/AZ1G-QXXU
Description

Global coverage of hourly NEE, GPP and total respiration CO2 fluxes for 2017-2020 based on the LPJ-GUESS model.

LPJ-GUESS (revision 6562) was for these fluxes forced with hourly ERA5land 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) 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/).

Data licence: CC BY 4.0  CC4BY