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

DOI

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 European plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/).

Identifier
DOI https://doi.org/10.18160/P52C-1QJM
Metadata Access https://oai.datacite.org/oai?verb=GetRecord&metadataPrefix=datacite&identifier=doi:10.18160/p52c-1qjm
Provenance
Creator Wu, Zhendong ORCID logo
Publisher ICOS ERIC - Carbon Portal
Contributor Michurow, Michael; Miller, Paul
Publication Year 2023
Rights CC BY 4.0; https://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Digital; Dataset
Format NetCDF
Version 1.0
Discipline Biogeochemistry; Biospheric Sciences; Geosciences; Natural Sciences
Spatial Coverage (-10.000W, 35.000S, 35.000E, 71.000N)