GSTDTAP  > 地球科学
DOI10.5194/acp-17-3553-2017
Methane fluxes in the high northern latitudes for 2005-2013 estimated using a Bayesian atmospheric inversion
Thompson, Rona L.1; Sasakawa, Motoki2; Machida, Toshinobu2; Aalto, Tuula3; Worthy, Doug4; Lavric, Jost V.5,6; Myhre, Cathrine Lund1; Stohl, Andreas1
2017-03-14
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2017
卷号17期号:5
文章类型Article
语种英语
国家Norway; Japan; Finland; Canada; Germany
英文摘要

We present methane (CH4) flux estimates for 2005 to 2013 from a Bayesian inversion focusing on the high northern latitudes (north of 50 degrees N). Our inversion is based on atmospheric transport modelled by the Lagrangian particle dispersion model FLEXPART and CH4 observations from 17 in situ and five discrete flask-sampling sites distributed over northern North America and Eurasia. CH4 fluxes are determined at monthly temporal resolution and on a variable grid with maximum resolution of 1 degrees x 1 degrees. Our inversion finds a CH4 source from the high northern latitudes of 82 to 84 Tg yr(-1), constituting similar to 15% of the global total, compared to 64 to 68 Tg yr(-1) (similar to 12 %) in the prior estimates. For northern North America, we estimate a mean source of 16.6 to 17.9 Tg yr(-1), which is dominated by fluxes in the Hudson Bay Lowlands (HBL) and western Canada, specifically the province of Alberta. Our estimate for the HBL, of 2.7 to 3.4 Tg yr(-1), is close to the prior estimate (which includes wetland fluxes from the land surface model, LPX-Bern) and to other independent inversion estimates. However, our estimate for Alberta, of 5.0 to 5.8 Tg yr(-1), is significantly higher than the prior (which also includes anthropogenic sources from the EDGAR-4.2FT2010 inventory). Since the fluxes from this region persist throughout the winter, this may signify that the anthropogenic emissions are underestimated. For northern Eurasia, we find a mean source of 52.2 to 55.5 Tg yr(-1), with a strong contribution from fluxes in the Western Siberian Lowlands (WSL) for which we estimate a source of 19.3 to 19.9 Tg yr(-1). Over the 9-year inversion period, we find significant year-to-year variations in the fluxes, which in North America, and specifically in the HBL, appear to be driven at least in part by soil temperature, while in the WSL, the variability is more dependent on soil moisture. Moreover, we find significant positive trends in the CH4 fluxes in North America of 0.38 to 0.57 Tg yr(-2), and northern Eurasia of 0.76 to 1.09 Tg yr(-2). In North America, this could be due to an increase in soil temperature, while in North Eurasia, specifically Russia, the trend is likely due, at least in part, to an increase in anthropogenic sources.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000397827900004
WOS关键词PARTICLE DISPERSION MODEL ; TROPOSPHERIC METHANE ; GLOBAL DATABASE ; ARCTIC TUNDRA ; EAST-ASIA ; EMISSIONS ; WETLANDS ; 21ST-CENTURY ; SCIAMACHY ; SIBERIA
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/28417
专题地球科学
作者单位1.NILU Norwegian Inst Air Res, Kjeller, Norway;
2.Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan;
3.Finnish Meteorol Inst FMI, Helsinki, Finland;
4.Environm Canada, Toronto, ON, Canada;
5.Max Planck Inst Biogeochem, Jena, Germany;
6.ERIC Head Off, ICOS, Helsinki, Finland
推荐引用方式
GB/T 7714
Thompson, Rona L.,Sasakawa, Motoki,Machida, Toshinobu,et al. Methane fluxes in the high northern latitudes for 2005-2013 estimated using a Bayesian atmospheric inversion[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(5).
APA Thompson, Rona L..,Sasakawa, Motoki.,Machida, Toshinobu.,Aalto, Tuula.,Worthy, Doug.,...&Stohl, Andreas.(2017).Methane fluxes in the high northern latitudes for 2005-2013 estimated using a Bayesian atmospheric inversion.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(5).
MLA Thompson, Rona L.,et al."Methane fluxes in the high northern latitudes for 2005-2013 estimated using a Bayesian atmospheric inversion".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.5(2017).
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