2026-05-29T19:47:38Z https://oai.datacite.org/oai

doi:10.18160/az1g-qxxu 2025-09-03T13:04:06Z MVIY SND.ICOS

10.18160/AZ1G-QXXU Wu, Zhendong Zhendong Wu 0000-0003-1435-9105 ICOS ERIC Carbon Portal at Lund University ICOS ERIC - Carbon Portal 2022 Digital Terrestrial Ecosystems Land Biogeochemistry Land Surface Carbon cycle Michurow, Michael Michael Michurow Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden Miller, Paul Paul Miller Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden 2021-10-20 NetCDF 1.0 Creative Commons Attribution 4.0 International 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) 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/).