European hourly GPP for 2018 based on LPJ-GUESS (generated in 2024)
11676/dk8xR7pWYmcKSYTL-xHbmkfV (link)
The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) is forced with hourly ERA5 climate datasets to simulate European terrestrial CO2 flux at a resolution of 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 EU plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). This simulation models natural fluxes, such as those from vegetation and soil under climate change, via natural processes such as biomass allocation, growth, reproduction, establishment, mortality, and disturbance. This means it does not include anthropogenic activities, such as forest management or agricultural management. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere.
2018-01-01 00:00:00
2018-12-31 23:00:00
hourly
Wu, Z., Michurow, M., Miller, P., 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 and Michurow, Michael and Miller, Paul}, keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle}, 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 = {CC BY 4.0} }
RIS
TY - DATA T1 - European hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024) AU - Wu, Zhendong AU - Michurow, Michael AU - Miller, Paul DO - 10.18160/W3N3-9S4D UR - https://meta.icos-cp.eu/collections/r--lXZki09JvHLjBaitAYCK5 AB - The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) is forced with hourly ERA5 climate datasets to simulate European terrestrial CO2 flux at a resolution of 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 EU plant functional types (PFTs), soil hydrology and biogeochemistry (Smith et al., 2001, https://web.nateko.lu.se/lpj-guess/). This simulation models natural fluxes, such as those from vegetation and soil under climate change, via natural processes such as biomass allocation, growth, reproduction, establishment, mortality, and disturbance. This means it does not include anthropogenic activities, such as forest management or agricultural management. The positive value means CO2 uptake from the atmosphere, and the negative value means CO2 release to the atmosphere. KW - Terrestrial Ecosystems KW - Land Biogeochemistry KW - Land Surface KW - Carbon cycle PY - 2024 PB - ICOS ERIC - Carbon Portal ER -
conv_lpj_hgpp_eu_0.5deg_2018.nc
61 MB (63862035 bytes)
3
Production
2024-06-03 11:00:00
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
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
gpp | gross primary CO2 production | µmol m-2 s-1 | particle flux | Preview |
Statistics
0
0
Technical information
764f3147ba5662670a4984cbfb11db9a47d5768e141392cda92b5af43889603c
dk8xR7pWYmcKSYTL+xHbmkfVdo4UE5LNqSta9DiJYDw
S: 35, W: -10, N: 71, E: 35
Carbon cycle
Ecosystem model
LPJ-GUESS
Land Biogeochemistry
Land Surface
Terrestrial Ecosystem
biosphere modeling
carbon flux