Global daily CH4 emissions from peatland for 2019 based on LPJ-GUESS (generated in 2024)
2019-01-01–2019-12-31
11676/5rA924HSqtF0AXFJ5_tlK1AZ (link)
The data is a subset of a global daily dataset of CH₄ emissions from peatland 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.
CH₄ emissions from carbon-rich peatland are simulated based on Wania et al. (2010) (https://doi.org/10.5194/gmdd-3-1-2010). The processes including methane production, gas diffusion (O2 and CH4), plant-mediated gas transport, methance oxidation, and methane ebullition.
2019-01-01 00:00:00
2019-12-31 23:59:59
daily
Wu, Z. (2024). Global daily CH4 emissions from peatland for 2019 based on LPJ-GUESS (generated in 2024), 2019-01-01–2019-12-31, https://hdl.handle.net/11676/5rA924HSqtF0AXFJ5_tlK1AZ
BibTex
@misc{https://hdl.handle.net/11676/5rA924HSqtF0AXFJ5_tlK1AZ,
author={Wu, Zhendong},
title={Global daily CH4 emissions from peatland 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 emissions from peatland 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/11676/5rA924HSqtF0AXFJ5_tlK1AZ},
publisher={Carbon Portal},
copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
pid={11676/5rA924HSqtF0AXFJ5_tlK1AZ}
}
RIS
TY - DATA T1 - Global daily CH4 emissions from peatland for 2019 based on LPJ-GUESS (generated in 2024), 2019-01-01–2019-12-31 ID - 11676/5rA924HSqtF0AXFJ5_tlK1AZ PY - 2024 AB - The data is a subset of a global daily dataset of CH₄ emissions from peatland 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/11676/5rA924HSqtF0AXFJ5_tlK1AZ 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_net_peat_global_2019.nc
722 MB (756890962 bytes)
3
Production
2024-04-15 12:00:00
Previewable variables
| Name | Value type | Unit | Quantity kind | Preview |
|---|---|---|---|---|
| ch4_net_peat | daily CH4 flux | mg CH4 m-2 d-1 | particle flux | Preview |
Statistics
5
0
Technical information
e6b03ddb81d2aad174017149e7fb652b5019e9fd6e58e7b5b2b215c3adb4f262
5rA924HSqtF0AXFJ5/tlK1AZ6f1uWOe1srIVw6208mI
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