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Global daily CH4 emissions from mineral soil for 2022 based on LPJ-GUESS (generated in 2024)

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2022-01-01–2022-12-31
11676/jdXz0XrfHpTF7otwB2e493mk (link)

The data is a subset of a global daily dataset of CH₄ emissions from mineral soil for 1981–2023, simulated using the LPJ-GUESS dynamic global vegetation model at 0.5° spatial resolution. The dataset was generated by driving LPJ-GUESS (version 4.1, revision 12177) with time-series inputs, including ERA5 climate forcing, atmospheric CO₂ concentrations, nitrogen deposition, and land-use data.

Mineral soil with relatively high soil moisture content enables methanogenic archaea to produce CH₄. Spahni et al. (2011) (https://doi.org/10.5194/bg-8-1643-2011) used water filled pore space (WFP) to represent soil moisture, above a certain threshold of WFP, a portion of the CH₄ generated within soil and diffuses into the atmosphere without being oxidized.
2022-01-01 00:00:00
2022-12-31 23:59:59
daily
Wu, Z. (2024). Global daily CH4 emissions from mineral soil for 2022 based on LPJ-GUESS (generated in 2024), 2022-01-01–2022-12-31, https://hdl.handle.net/11676/jdXz0XrfHpTF7otwB2e493mk
BibTex
@misc{https://hdl.handle.net/11676/jdXz0XrfHpTF7otwB2e493mk,
  author={Wu, Zhendong},
  title={Global daily CH4 emissions from mineral soil for 2022 based on LPJ-GUESS (generated in 2024), 2022-01-01–2022-12-31},
  year={2024},
  note={The data is a subset of a global daily dataset of CH₄ emissions from mineral soil for 1981–2023, simulated using the LPJ-GUESS dynamic global vegetation model at 0.5° spatial resolution. The dataset was generated by driving LPJ-GUESS (version 4.1, revision 12177) with time-series inputs, including ERA5 climate forcing, atmospheric CO₂ concentrations, nitrogen deposition, and land-use data.},
  keywords={carbon cycle, methane, ecosystem model, LPJ-GUESS, land biogeochemistry, land surface, terrestrial ecosystem, biosphere modeling, carbon flux},
  url={https://hdl.handle.net/11676/jdXz0XrfHpTF7otwB2e493mk},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/jdXz0XrfHpTF7otwB2e493mk}
}
RIS
TY - DATA
T1 - Global daily CH4 emissions from mineral soil for 2022 based on LPJ-GUESS (generated in 2024), 2022-01-01–2022-12-31
ID - 11676/jdXz0XrfHpTF7otwB2e493mk
PY - 2024
AB - The data is a subset of a global daily dataset of CH₄ emissions from mineral soil for 1981–2023, simulated using the LPJ-GUESS dynamic global vegetation model at 0.5° spatial resolution. The dataset was generated by driving LPJ-GUESS (version 4.1, revision 12177) with time-series inputs, including ERA5 climate forcing, atmospheric CO₂ concentrations, nitrogen deposition, and land-use data.
UR - https://hdl.handle.net/11676/jdXz0XrfHpTF7otwB2e493mk
PB - Carbon Portal
AU - Wu, Zhendong
KW - carbon cycle
KW - methane
KW - ecosystem model
KW - LPJ-GUESS
KW - land biogeochemistry
KW - land surface
KW - terrestrial ecosystem
KW - biosphere modeling
KW - carbon flux
ER - 
cal_lpj_ch4_emi_mineral_global_2022.nc
722 MB (756891573 bytes)
3

Production

2024-04-15 12:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
ch4_emi_mineral daily CH4 flux mg CH4 m-2 d-1 particle flux Preview

Statistics

15
0

Submission

2026-06-05 09:47:15
2026-06-05 09:46:52

Technical information

8dd5f3d17adf1e94c5ee8b700767b8f779a4fd9539c1f90a1d88009351ae1670
jdXz0XrfHpTF7otwB2e493mk/ZU5wfkKHYgAk1GuFnA
S: -90, W: -180, N: 90, E: 180
LPJ-GUESS biosphere modeling carbon cycle carbon flux ecosystem model land biogeochemistry land surface methane terrestrial ecosystem