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Global daily CH4 flux for 1981-2023 based on LPJ-GUESS (generated in 2024)

Collection
10.18160/398J-T9MU (target, metadata)

The product is generated in 2024. LPJ-GUESS (version 4.1, revision 12177) is forced with daily ERA5 climate datasets to simulate global terrestrial CH4 emission and uptake 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.

Zhendong Wu
Zhendong Wu
2024
ICOS ERIC -- Carbon Portal
LPJ-GUESS, biosphere modeling, carbon cycle, carbon flux, ecosystem model, land biogeochemistry, land surface, methane, terrestrial ecosystem
Wu, Z., 2024. Global daily CH4 flux for 1981-2023 based on LPJ-GUESS (generated in 2024). https://doi.org/10.18160/398J-T9MU
BibTex
@misc{https://doi.org/10.18160/398j-t9mu,
  doi = {10.18160/398J-T9MU},
  url = {https://meta.icos-cp.eu/collections/vJbhNLkThPFf_4gK6HN7T3JA},
  author = {Wu, Zhendong},
  keywords = {LPJ-GUESS, biosphere modeling, carbon cycle, carbon flux, ecosystem model, land biogeochemistry, land surface, methane, terrestrial ecosystem},
  title = {Global daily CH4 flux for 1981-2023 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  - Global daily CH4 flux for 1981-2023 based on LPJ-GUESS (generated in 2024)
AU  - Wu, Zhendong
DO  - 10.18160/398J-T9MU
UR  - https://meta.icos-cp.eu/collections/vJbhNLkThPFf_4gK6HN7T3JA
AB  - The product is generated in 2024. LPJ-GUESS (version 4.1, revision 12177) is forced with daily ERA5 climate datasets to simulate global terrestrial CH4 emission and uptake 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.
KW  - LPJ-GUESS
KW  - biosphere modeling
KW  - carbon cycle
KW  - carbon flux
KW  - ecosystem model
KW  - land biogeochemistry
KW  - land surface
KW  - methane
KW  - terrestrial ecosystem
PY  - 2024
PB  - ICOS ERIC -- Carbon Portal
ER  -

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