GSTDTAP  > 地球科学
DOI10.5194/acp-17-5751-2017
Satellite-derived methane hotspot emission estimates using a fast data-driven method
Buchwitz, Michael1; Schneising, Oliver1; Reuter, Maximilian1; Heymann, Jens1; Krautwurst, Sven1; Bovensmann, Heinrich1; Burrows, John P.1; Boesch, Hartmut2,3; Parker, Robert J.2,3; Somkuti, Peter2,3; Detmers, Rob G.4; Hasekamp, Otto P.4; Aben, Ilse4; Butz, Andre5,6; Frankenberg, Christian7,8; Turner, Alexander J.9
2017-05-09
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2017
卷号17期号:9
文章类型Article
语种英语
国家Germany; England; Netherlands; USA
英文摘要

Methane is an important atmospheric greenhouse gas and an adequate understanding of its emission sources is needed for climate change assessments, predictions, and the development and verification of emission mitigation strategies. Satellite retrievals of near-surface-sensitive column-averaged dry-air mole fractions of atmospheric methane, i.e. X CH4, can be used to quantify methane emissions. Maps of time-averaged satellite-derived X CH4 show regionally elevated methane over several methane source regions. In order to obtain methane emissions of these source regions we use a simple and fast data-driven method to estimate annual methane emissions and corresponding 1 sigma uncertainties directly from maps of annually averaged satellite X CH4. From theoretical considerations we expect that our method tends to underestimate emissions. When applying our method to high-resolution atmospheric methane simulations, we typically find agreement within the uncertainty range of our method (often 100 %) but also find that our method tends to underestimate emissions by typically about 40 %. To what extent these findings are model dependent needs to be assessed. We apply our method to an ensemble of satellite X CH4 data products consisting of two products from SCIAMACHY/ENVISAT and two products from TANSO-FTS/GOSAT covering the time period 2003-2014. We obtain annual emissions of four source areas: Four Corners in the south-western USA, the southern part of Central Valley, California, Azerbaijan, and Turkmenistan. We find that our estimated emissions are in good agreement with independently derived estimates for Four Corners and Azerbaijan. For the Central Valley and Turkmenistan our estimated annual emissions are higher compared to the EDGAR v4.2 anthropogenic emission inventory. For Turkmenistan we find on average about 50% higher emissions with our annual emission uncertainty estimates overlapping with the EDGAR emissions. For the region around Bakersfield in the Central Valley we find a factor of 5-8 higher emissions compared to EDGAR, albeit with large uncertainty. Major methane emission sources in this region are oil/gas and livestock. Our findings corroborate recently published studies based on aircraft and satellite measurements and new bottom-up estimates reporting significantly underestimated methane emissions of oil/gas and/or livestock in this area in EDGAR.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000425848100001
WOS关键词HIGH-SPATIAL-RESOLUTION ; CARBON-DIOXIDE ; CO2 EMISSIONS ; SENTINEL-5 PRECURSOR ; ATMOSPHERIC METHANE ; RETRIEVAL ALGORITHM ; CH4 EMISSIONS ; FOSSIL-FUEL ; TANSO-FTS ; SCIAMACHY
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
被引频次:62[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/20607
专题地球科学
作者单位1.Univ Bremen, Inst Environm Phys IUP, Bremen, Germany;
2.Univ Leicester, Earth Observat Sci, Leicester, Leics, England;
3.NERC, Natl Ctr Earth Observat, Leicester, Leics, England;
4.SRON, Netherlands Inst Space Res, Utrecht, Netherlands;
5.KIT, Karlsruhe, Germany;
6.LMU, Munich, Germany;
7.CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91125 USA;
8.Jet Prop Lab, Pasadena, CA USA;
9.Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA
推荐引用方式
GB/T 7714
Buchwitz, Michael,Schneising, Oliver,Reuter, Maximilian,et al. Satellite-derived methane hotspot emission estimates using a fast data-driven method[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(9).
APA Buchwitz, Michael.,Schneising, Oliver.,Reuter, Maximilian.,Heymann, Jens.,Krautwurst, Sven.,...&Turner, Alexander J..(2017).Satellite-derived methane hotspot emission estimates using a fast data-driven method.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(9).
MLA Buchwitz, Michael,et al."Satellite-derived methane hotspot emission estimates using a fast data-driven method".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.9(2017).
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