Cold-season methane fluxes simulated by GCP-CH4 models

A. Ito*, T. Li, J. Melton, H. Tian, T. Kleinen, W. Wang, Z. Zhang, F. Joos, P. Ciais, P. O. Hopcroft, D. J. Beerling, X. Liu, Q. Zhuang, Q. Zhu, C. Peng, K.-Y. Cheng, E. Fluet-Chouinard, G. McNicol, P. Patra, B. PoulterS. Sitch, W. Riley, Q. Zhu

*Corresponding author for this work

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Abstract

Cold‐season methane (CH4) emissions may be poorly constrained in wetland models. We examined cold‐season CH4 emissions simulated by 16 models participating in the Global Carbon Project model intercomparison and analyzed temporal and spatial patterns in simulation results using prescribed inundation data for 2000–2020. Estimated annual CH4 emissions from northern (>60°N) wetlands averaged 10.0 ± 5.5 Tg CH4 yr−1. While summer CH4 emissions were well simulated compared to in‐situ flux measurement observations, the models underestimated CH4 during September to May relative to annual total (27 ± 9%, compared to 45% in observations) and substantially in the months with subzero air temperatures (5 ± 5%, compared to 27% in observations). Because of winter warming, nevertheless, the contribution of cold‐season emissions was simulated to increase at 0.4 ± 0.8% decade−1. Different parameterizations of processes, for example, freezing–thawing and snow insulation, caused conspicuous variability among models, implying the necessity of model refinement.
Original languageEnglish
Article numbere2023GL103037
Number of pages12
JournalGeophysical Research Letters
Volume50
Issue number14
Early online date17 Jul 2023
DOIs
Publication statusPublished - 28 Jul 2023

Bibliographical note

Acknowledgments:
This study is a contribution to the global CH4 synthesis organized by the Global Carbon Project, and all model simulations were conducted using the protocol and input data prepared by the project. AI was supported by the Environmental Research and Technology Development Fund (JPMEERF21S20830 and JPMEERF21S12007) of the Ministry of the Environment and the Environmental Restoration and Conservation Agency of Japan, and the Arctic Challenge for Sustainability II (JPMXD1420318865) of the Ministry of Education, Culture, Sports, Science and Technology, Japan. PH is grateful for support from a University of Birmingham Fellowship and BEAR computing facilities. FJ acknowledges support by the Swiss National Science Foundation (#200020_200511). TK acknowledges support from the German Federal Ministry of Education and Research (BMBF) through the project PalMod, Grant 01LP1507B.

Keywords

  • cold‐season emissions
  • global warming
  • methane budget
  • model intercomparison
  • wetland models

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