Preprints
https://doi.org/10.5194/bg-2022-229
https://doi.org/10.5194/bg-2022-229
 
20 Dec 2022
20 Dec 2022
Status: this preprint is currently under review for the journal BG.

Multi-site evaluation of modelled methane emissions over northern wetlands by the JULES land surface model coupled with the HIMMELI peatland methane emission model

Yao Gao1,2, Eleanor J. Burke3, Sarah E. Chadburn4, Maarit Raivonen5, Mika Aurela1, Lawrence B. Flanagan6, Krzysztof Fortuniak7, Elyn Humphreys8, Annalea Lohila1,5, Tingting Li9,10, Tiina Markkanen1, Olli Nevalainen1, Mats B. Nilsson11, Włodzimierz Pawlak7, Aki Tsuruta1, Huiyi Yang12, and Tuula Aalto1 Yao Gao et al.
  • 1Finnish Meteorological Institute, P.O. Box 503, FI-00101 Helsinki, Finland
  • 2Department of Civil Engineering, University of Hongkong, Hongkong, China
  • 3Met Office Hadley Centre, Exeter, UK
  • 4Department of Mathematics, University of Exeter, Exeter, UK
  • 5Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, P.O. Box 68, 00014 Helsinki, Finland
  • 6Department of Biological Sciences, University of Lethbridge, 4401 University Drive, Lethbridge, Alberta, Canada
  • 7Department of Meteorology and Climatology, Faculty of Geographical Sciences, University of Lodz, Lodz, Poland
  • 8Department of Geography and Environmental Studies, Carleton University, Ottawa, Canada
  • 9State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 10Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
  • 11Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, 901 83 Umeå, Sweden
  • 12Livelihoods and Institutions Department, Natural Resources Institute, Faculty of Engineering & Science, University of Greenwich, UK

Abstract. Northern peatland stores a large amount of organic soil carbon and is considered to be one of the most significant CH4 sources among wetlands. The default wetland CH4 emission scheme in JULES (land surface model of the UK Earth System model) only takes into account the CH4 emissions from inundated areas in a simple way. However, it is known that the processes for peatland CH4 emission are complex. In this work, we coupled the process-based peatland CH4 emission model HIMMELI (HelsinkI Model of MEthane buiLd-up and emIssion for peatlands) with JULES (JULES-HIMMELI) by taking the HIMMELI input data from JULES simulations. Firstly, the soil temperature, water table depth (WTD) and soil carbon simulated by JULES, as well as the prescribed maximum leaf area index (LAI) in JULES were evaluated against available datasets at the studied northern wetland sites. Then, the simulated CH4 emissions from JULES and JULES-HIMMELI simulations were compared against the observed CH4 emissions at these sites. Moreover, sensitivities of CH4 emissions to the rate of anoxic soil respiration (anoxic Rs), surface soil temperature and WTD were investigated. Results show that JULES can well represent the magnitude and seasonality of surface (5–10 cm) and relatively deep (34–50 cm) soil temperatures, whereas the simulated WTD and soil carbon density profiles show large deviations from the site observations. The prescribed maximum LAI in JULES was within one standard deviation of the maximum LAIs derived from the Sentinel-2 satellite data for Siikaneva, Kopytkowo and Degerö sites, but lower for the other three sites. The simulated CH4 emissions by JULES have much smaller inter-annual variability than the observations. However, no specific simulation setup of the coupled model can lead to consistent improvements in the simulated CH4 emissions for all the sites. When using observed WTD or modified soil decomposition rate, there were only improvements in simulated CH4 fluxes at certain sites or years. Both simulated and observed CH4 emissions at sites strongly depend on the rate of anoxic Rs, which is the basis of CH4 emission estimates in HIMMELI. By excluding the effect from the rate of anoxic Rs on CH4 emissions, it is found that the Rs-log-normalized CH4 emissions (log normalization of the ratio of CH4 emission to anoxic Rs rate) show similar increasing trends with increased surface soil temperature from both observations and simulations, but different trends with raised WTD which may due to the uncertainty in simulated O2 concentration in HIMMELI. In general, we consider the JULES-HIMMELI model is more appropriate in simulating the wetland CH4 emissions than the default wetland CH4 emission scheme in JULES. Nevertheless, in order to improve the accuracy of simulated wetland CH4 emissions with the JULES-HIMMELI model, it is still necessary to better represent the peat soil carbon and hydrologic processes in JULES and the CH4 production and transportation processes in HIMMELI, such as plant transportation of gases, seasonality of parameters controlling oxidation and production, and adding microbial activities.

Yao Gao et al.

Status: open (until 02 Feb 2023)

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  • RC1: 'Comment on bg-2022-229', Anonymous Referee #1, 11 Jan 2023 reply

Yao Gao et al.

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Short summary
We coupled a process-based peatland CH4 emission model HIMMELI with a state-of-art land surface model JULES. The performance of the coupled model was evaluated at six northern wetland sites. The coupled model is considered to be more appropriate in simulating wetland CH4 emission. In order to improve the simulated CH4 emission, the model requires better representation of the peat soil carbon and hydrologic processes in JULES and the methane production and transportation processes in HIMMELI.
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