Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 17, 5751-5774, 2017
https://doi.org/10.5194/acp-17-5751-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
09 May 2017
Satellite-derived methane hotspot emission estimates using a fast data-driven method
Michael Buchwitz1, Oliver Schneising1, Maximilian Reuter1, Jens Heymann1, Sven Krautwurst1, Heinrich Bovensmann1, John P. Burrows1, Hartmut Boesch2,3, Robert J. Parker2,3, Peter Somkuti2,3, Rob G. Detmers4, Otto P. Hasekamp4, Ilse Aben4, André Butz5,6, Christian Frankenberg7,8, and Alexander J. Turner9 1Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
2Earth Observation Science, University of Leicester, Leicester, UK
3NERC National Centre for Earth Observation, Leicester, UK
4SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
5Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
6Ludwig-Maximilians-Universität (LMU), Munich, Germany
7Division of Geological and Planetary Sciences, California Institute of Technology, California, Pasadena, CA, USA
8Jet Propulsion Laboratory, Pasadena, CA, USA
9School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Abstract. 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. XCH4, can be used to quantify methane emissions. Maps of time-averaged satellite-derived XCH4 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 1σ uncertainties directly from maps of annually averaged satellite XCH4. 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 XCH4 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.

Citation: Buchwitz, M., Schneising, O., Reuter, M., Heymann, J., Krautwurst, S., Bovensmann, H., Burrows, J. P., Boesch, H., Parker, R. J., Somkuti, P., Detmers, R. G., Hasekamp, O. P., Aben, I., Butz, A., Frankenberg, C., and Turner, A. J.: Satellite-derived methane hotspot emission estimates using a fast data-driven method, Atmos. Chem. Phys., 17, 5751-5774, https://doi.org/10.5194/acp-17-5751-2017, 2017.
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Short summary
Methane is an important greenhouse gas and increasing atmospheric concentrations result in global warming. We present a simple method to derive annual methane emission estimates of methane hotspot areas from satellite data. We present results for four source areas. We found that our estimates are in good agreement with other studies/data sets for the Four Corners region in the USA and for Azerbaijan but we also found higher emissions for parts of California and Turkmenistan.
Methane is an important greenhouse gas and increasing atmospheric concentrations result in...
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