Global daily CH4 uptake by mineral soil for 2019 based on LPJ-GUESS (generated in 2024)
2019-01-01–2019-12-31
11676/RP0y3XavnFUXpLf5TQt33CjK (link)
The data is a subset of a global daily dataset of CH₄ uptake by 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 low soil moisture content implies oxic conditions which allow bacteria to comsume CH₄ (i.e. mineral soil uptake). The mineral soil uptake is calculated following the procedures outlined by Spahni et al. (2011) (https://doi.org/10.5194/bg-8-1643-2011) and Curry (2007) (https://doi.org/10.1029/2006GB002818), which depend on the atmospheric CH₄ concentration, the CH₄ effective soil diffusion and the CH₄ oxidation rate.
2019-01-01 00:00:00
2019-12-31 23:59:59
daily
Wu, Z. (2024). Global daily CH4 uptake by mineral soil for 2019 based on LPJ-GUESS (generated in 2024), 2019-01-01–2019-12-31, https://hdl.handle.net/11676/RP0y3XavnFUXpLf5TQt33CjK
BibTex
@misc{https://hdl.handle.net/11676/RP0y3XavnFUXpLf5TQt33CjK,
author={Wu, Zhendong},
title={Global daily CH4 uptake by mineral soil for 2019 based on LPJ-GUESS (generated in 2024), 2019-01-01–2019-12-31},
year={2024},
note={The data is a subset of a global daily dataset of CH₄ uptake by 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/RP0y3XavnFUXpLf5TQt33CjK},
publisher={Carbon Portal},
copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
pid={11676/RP0y3XavnFUXpLf5TQt33CjK}
}
RIS
TY - DATA T1 - Global daily CH4 uptake by mineral soil for 2019 based on LPJ-GUESS (generated in 2024), 2019-01-01–2019-12-31 ID - 11676/RP0y3XavnFUXpLf5TQt33CjK PY - 2024 AB - The data is a subset of a global daily dataset of CH₄ uptake by 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/RP0y3XavnFUXpLf5TQt33CjK 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_uptake_mineral_global_2019.nc
722 MB (756891502 bytes)
3
Production
2024-04-15 12:00:00
Previewable variables
| Name | Value type | Unit | Quantity kind | Preview |
|---|---|---|---|---|
| ch4_uptake_mineral | daily CH4 flux | mg CH4 m-2 d-1 | particle flux | Preview |
Statistics
14
0
Technical information
44fd32dd76af9c5517a4b7f94d0b77dc28cae7f2b8f1d03548f340b9f188d77b
RP0y3XavnFUXpLf5TQt33CjK5/K48dA1SPNAufGI13s
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