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Retrieval of Methane Source Strengths in Europe Using a Simple Modeling Approach to Assess the Potential of Spaceborne Lidar ObservationsWe investigate the sensitivity of future spaceborne lidar measurements to changes in surface methane emissions. We use surface methane observations from nine European ground stations and a Lagrangian transport model to infer surface methane emissions for 2010. Our inversion shows the strongest emissions from the Netherlands, the coal mines in Upper Silesia, Poland, and wetlands in southern Finland. The simulated methane surface concentrations capture at least half of the daily variability in the observations, suggesting that the transport model is correctly simulating the regional transport pathways over Europe. With this tool we can test whether proposed methane lidar instruments will be sensitive to changes in surface emissions. We show that future lidar instruments should be able to detect a 50% reduction in methane emissions from the Netherlands and Germany, at least during summer.
Document ID
20150011451
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Weaver, C.
(Maryland Univ. College Park, MD, United States)
Kiemle, C.
(Deutsches Zentrum fuer Luft- und Raumfahrt e.V. Oberpfaffenhofen, Germany)
Kawa, S. R.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Aalto, T.
(Finnish Meteorological Inst. Helsinki, Finland)
Necki, J.
(Academy of Mining and Metallurgy Cracow, Poland)
Steinbacher, M.
(EMPA Dubendorf Dubendorf, Switzerland)
Arduini, J.
(Urbino Univ. Urbino, Italy)
Apadula, F.
(Research on Energy Systems Milano, Italy)
Berkhout, H.
(Rijksinstituut voor Volksgezondheid en Milieuhygieene Bilthoven, Netherlands)
Hatakka, J.
(Finnish Meteorological Inst. Helsinki, Finland)
Date Acquired
June 23, 2015
Publication Date
March 14, 2014
Publication Information
Publication: Atmospheric Chemistry and Physics
Publisher: Copernicus Publications
Volume: 14
Issue: 5
Subject Category
Geosciences (General)
Report/Patent Number
GSFC-E-DAA-TN21422
Funding Number(s)
CONTRACT_GRANT: NNX12AD03A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
surface fluxes
Europe
Laser
methane
lidar
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