European hourly GPP for 2023 based on LPJ-GUESS (generated in 2024)
2023-01-01–2023-12-31
Deprecated data
Latest version:
40hRJROL_bee6sWXWccovIr8
11676/Yl7tVyYHtWfsPKIvEuOdwa-w (link)
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/).
GPP is defined as the rate of the total amount of carbon fixed by plants in the process of photosynthesis in a given length of time. Positive values are fluxes into the biosphere
2023-01-01 00:00:00
2023-12-31 23:00:00
hourly
Wu, Z., 2024. European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024). https://doi.org/10.18160/W3N3-9S4D
BibTex
@misc{https://doi.org/10.18160/w3n3-9s4d,
doi = {10.18160/W3N3-9S4D},
url = {https://meta.icos-cp.eu/collections/r--lXZki09JvHLjBaitAYCK5},
author = {Wu, Zhendong},
keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle, Ecosystem Model, Carbon Flux},
title = {European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024)},
publisher = {ICOS ERIC - Carbon Portal},
year = {2024},
copyright = {Creative Commons Attribution 4.0 International}
}
RIS
TY - GEN T1 - European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024) AU - Wu, Zhendong DO - 10.18160/W3N3-9S4D UR - https://meta.icos-cp.eu/collections/r--lXZki09JvHLjBaitAYCK5 AB - 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/). KW - Terrestrial Ecosystems KW - Land Biogeochemistry KW - Land Surface KW - Carbon cycle KW - Ecosystem Model KW - Carbon Flux PY - 2024 PB - ICOS ERIC - Carbon Portal ER -
conv_lpj_hgpp_eu_0.5deg_2023.nc
62 MB (64893265 bytes)
3
Production
2024-06-03 11:00:00
Previewable variables
| Name | Value type | Unit | Quantity kind | Preview |
|---|---|---|---|---|
| gpp | gross primary CO2 production | µmol m-2 s-1 | particle flux | Preview |
Statistics
30
1
Technical information
625eed572607b567ec3ca22f12e39dc1afb0dc458ca7fc4e3c13c70737afd818
Yl7tVyYHtWfsPKIvEuOdwa+w3EWMp/xOPBPHBzev2Bg
S: 35, W: -10, N: 71, E: 35
Carbon cycle
Ecosystem model
LPJ-GUESS
Land Biogeochemistry
Land Surface
Terrestrial Ecosystem
biosphere modeling
carbon flux