European hourly NPP for 2011 based on LPJ-GUESS (generated in 2024)
11676/8xeBQbYCUQ7cNTNB86Bh4GXB (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.
2011-01-01 00:00:00
2011-12-31 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_hnpp_eu_0.5deg_2011.nc
113 MB (118961103 bytes)
3
Production
2024-06-03 11:00:00
NPP is defined as the difference between GPP and autotrophic respiration, and measures the net production or accumulation of dry matter in plants over a period. Positive values are fluxes into the biosphere
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
npp | net primary production | μmol m-2 s-1 | particle flux | Preview |
Statistics
0
0
Technical information
f3178141b602510edc353341f3a061e065c16bb026affe99300bbb67b04f6b21
8xeBQbYCUQ7cNTNB86Bh4GXBa7Amr/6ZMAu7Z7BPayE
S: 35, W: -10, N: 71, E: 35
Carbon cycle
Ecosystem model
LPJ-GUESS
Land Biogeochemistry
Land Surface
Terrestrial Ecosystem
biosphere modeling
carbon flux