Global hourly NEE, GPP and total respiration for 2017-2020 based on LPJ-GUESS (generated in 2021)

DOI

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/).

Identifier
DOI https://doi.org/10.18160/AZ1G-QXXU
Metadata Access https://oai.datacite.org/oai?verb=GetRecord&metadataPrefix=datacite&identifier=doi:10.18160/az1g-qxxu
Provenance
Creator Wu, Zhendong ORCID logo
Publisher ICOS ERIC - Carbon Portal
Contributor Michurow, Michael; Miller, Paul
Publication Year 2022
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