European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024)

DOI

The product is generated in 2024. 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/W3N3-9S4D
Metadata Access https://oai.datacite.org/oai?verb=GetRecord&metadataPrefix=datacite&identifier=doi:10.18160/w3n3-9s4d
Provenance
Creator Wu, Zhendong ORCID logo
Publisher ICOS ERIC - Carbon Portal
Contributor Wu, Zhendong; Miller, Paul; Mischurow, Michael
Publication Year 2024
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Resource Type NetCDF; Collection
Format NetCDF
Version 1.0
Discipline Biogeochemistry; Biospheric Sciences; Geosciences; Natural Sciences
Spatial Coverage (-10.000W, 35.000S, 35.000E, 71.000N)