Global hourly heterotrophic respiration for 2019 based on LPJ-GUESS (generated in 2024)
11676/tCFvok1ew_G5LA8rezABwAWi (link)
The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) is forced with hourly ERA5 climate datasets to simulate global 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 global 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.
2019-01-01 00:00:00
2019-12-31 23:00:00
hourly
Wu, Z., Michurow, M., Miller, P., 2024. Global hourly NEP, NPP, GPP and heterotrophic respiration for 2010-2023 based on LPJ-GUESS (generated in 2024). https://doi.org/10.18160/WRN4-1DV6
BibTex
@misc{https://doi.org/10.18160/wrn4-1dv6, doi = {10.18160/WRN4-1DV6}, url = {https://meta.icos-cp.eu/collections/E8EEk4983j5zltui3qw7HQQX}, author = {Wu, Zhendong and Michurow, Michael and Miller, Paul}, keywords = {Terrestrial Ecosystems, Land Biogeochemistry, Land Surface, Carbon cycle}, title = {Global 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 - Global 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/WRN4-1DV6 UR - https://meta.icos-cp.eu/collections/E8EEk4983j5zltui3qw7HQQX AB - The product is generated in 2024. LPJ-GUESS (version 4.0, revision 6562) is forced with hourly ERA5 climate datasets to simulate global 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 global 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_global_0.5deg_2019.nc
1 GB (1398424341 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
1
0
Technical information
b4216fa24d5ec3f1b92c0f2b7b3001c005a2bc6c0ad279bd82d3248c5d1b396e
tCFvok1ew/G5LA8rezABwAWivGwK0nm9gtMkjF0bOW4
S: -90, W: -180, N: 90, E: 180
Carbon cycle
Ecosystem model
LPJ-GUESS
Land Biogeochemistry
Land Surface
Terrestrial Ecosystem
biosphere modeling
carbon flux