European hourly heterotrophic respiration for 2010 based on LPJ-GUESS (generated in 2024)
11676/Qvu4PY-fpSeLJcf0pJ-epMv- (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.
2010-01-01 00:00:00
2010-12-31 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_hhr_eu_0.5deg_2010.nc
92 MB (96753463 bytes)
3
Production
2024-06-03 11:00:00
Heterotrophic respiration refers to the carbon released when organic matter in litter and soil is consumed by heterotrophic organisms. Negative values are fluxes into the atmosphere
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
hr | heterotrophic respiration | μmol m-2 s-1 | particle flux | Preview |
Statistics
0
0
Technical information
42fbb83d8f9fa5278b25c7f4a49f9ea4cbfedeb74a1707441224a56dd13f86f7
Qvu4PY+fpSeLJcf0pJ+epMv+3rdKFwdEEiSlbdE/hvc
S: 35, W: -10, N: 71, E: 35
Carbon cycle
Ecosystem model
LPJ-GUESS
Land Biogeochemistry
Land Surface
Terrestrial Ecosystem
biosphere modeling
carbon flux