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Global daily CH4 emissions from mineral soil for 2020 based on LPJ-GUESS (generated in 2024)

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2020-01-01–2020-12-31
11676/-oSHCA0Qx8dvpUDVPWAm-e8A (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.
2020-01-01 00:00:00
2020-12-31 23:59:59
daily
Wu, Z. (2024). Global daily CH4 emissions from mineral soil for 2020 based on LPJ-GUESS (generated in 2024), 2020-01-01–2020-12-31, https://hdl.handle.net/11676/-oSHCA0Qx8dvpUDVPWAm-e8A
BibTex
@misc{https://hdl.handle.net/11676/-oSHCA0Qx8dvpUDVPWAm-e8A,
  author={Wu, Zhendong},
  title={Global daily CH4 emissions from mineral soil for 2020 based on LPJ-GUESS (generated in 2024), 2020-01-01–2020-12-31},
  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/-oSHCA0Qx8dvpUDVPWAm-e8A},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/-oSHCA0Qx8dvpUDVPWAm-e8A}
}
RIS
TY - DATA
T1 - Global daily CH4 emissions from mineral soil for 2020 based on LPJ-GUESS (generated in 2024), 2020-01-01–2020-12-31
ID - 11676/-oSHCA0Qx8dvpUDVPWAm-e8A
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/-oSHCA0Qx8dvpUDVPWAm-e8A
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_2020.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

12
0

Submission

2026-06-05 09:46:07
2026-06-05 09:45:43

Technical information

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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