EU-GPP daily gross primary production in Europe - April 2017
2017-04-01–2017-04-30
11676/EibCxrSNPdR3uySF2QfYD2Lu (link)
The EU-GPP daily estimates of gross primary production (GPP, gC m-2 d-1) across Europe at 300m spatial resolution for April 2017. EU-GPP is based on the light use efficiency framework with a biome-specific scalar modelling approach, allowing the model to capture the effect of temperature and water-related stresses on vegetation productivity. Further information on model development, validation, and evaluation is available in M. Zhang et al. (2026) (https://doi.org/10.3390/rs18172981).
This dataset supports Zhang, M., Wang, L., Jamali, S., & Tagesson, T. (2026). A Biome-Specific Light Use Efficiency Model for Spatiotemporal Dynamics of GPP Across Europe Using PROBA-V and Sentinel-3 FAPAR. Remote Sensing, 18(17), 2981. https://doi.org/10.3390/rs18172981.
NOTE: a scale factor = 0.1 has been applied to the GPP variable values in the netCDF file.
2017-04-01 00:00:00
2017-04-30 23:59:59
daily
Zhang, M., Tagesson, T., Wang, L., Jamali, S. (2025). EU-GPP daily gross primary production in Europe - April 2017, 2017-04-01–2017-04-30, https://hdl.handle.net/11676/EibCxrSNPdR3uySF2QfYD2Lu
BibTex
@misc{https://hdl.handle.net/11676/EibCxrSNPdR3uySF2QfYD2Lu,
author={Zhang, Mingyuan and Tagesson, Torbern and Wang, Lanhui and Jamali, Sadegh},
title={EU-GPP daily gross primary production in Europe - April 2017, 2017-04-01–2017-04-30},
year={2025},
note={The EU-GPP daily estimates of gross primary production (GPP, gC m-2 d-1) across Europe at 300m spatial resolution for April 2017. EU-GPP is based on the light use efficiency framework with a biome-specific scalar modelling approach, allowing the model to capture the effect of temperature and water-related stresses on vegetation productivity. Further information on model development, validation, and evaluation is available in M. Zhang et al. (2026) (https://doi.org/10.3390/rs18172981).},
keywords={vegetation model, terrestrial ecosystem, carbon, gross primary production, EU-GPP},
url={https://hdl.handle.net/11676/EibCxrSNPdR3uySF2QfYD2Lu},
publisher={Carbon Portal},
copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
pid={11676/EibCxrSNPdR3uySF2QfYD2Lu}
}
RIS
TY - DATA T1 - EU-GPP daily gross primary production in Europe - April 2017, 2017-04-01–2017-04-30 ID - 11676/EibCxrSNPdR3uySF2QfYD2Lu PY - 2025 AB - The EU-GPP daily estimates of gross primary production (GPP, gC m-2 d-1) across Europe at 300m spatial resolution for April 2017. EU-GPP is based on the light use efficiency framework with a biome-specific scalar modelling approach, allowing the model to capture the effect of temperature and water-related stresses on vegetation productivity. Further information on model development, validation, and evaluation is available in M. Zhang et al. (2026) (https://doi.org/10.3390/rs18172981). UR - https://hdl.handle.net/11676/EibCxrSNPdR3uySF2QfYD2Lu PB - Carbon Portal AU - Zhang, Mingyuan AU - Tagesson, Torbern AU - Wang, Lanhui AU - Jamali, Sadegh KW - vegetation model KW - terrestrial ecosystem KW - carbon KW - gross primary production KW - EU-GPP ER -
GPP_2017_04.nc
3 GB (2924542339 bytes)
3
Production
2025-07-01 00:00:00
Statistics
2
Technical information
1226c2c6b48d3dd477bb2485d907d80f62ee107e1b08697c07b2587831b3831c
EibCxrSNPdR3uySF2QfYD2LuEH4bCGl8B7JYeDGzgxw
S: 34, W: -25, N: 72, E: 45
EU-GPP
carbon
gross primary production
terrestrial ecosystem
vegetation model