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Comparing GOSAT Observations of Localized CO2 Enhancements by Large Emitters with Inventory-Based EstimatesWe employed an atmospheric transport model to attribute column-averaged CO2 mixing ratios (XCO2) observed by Greenhouse gases Observing SATellite (GOSAT) to emissions due to large sources such as megacities and power plants. XCO2 enhancements estimated from observations were compared to model simulations implemented at the spatial resolution of the satellite observation footprint (0.1deg × 0.1deg). We found that the simulated XCO2 enhancements agree with the observed over several continental regions across the globe, for example, for North America with an observation to simulation ratio of 1.05 +/- 0.38 (p<0.1), but with a larger ratio over East Asia (1.22 +/- 0.32; p<0.05). The obtained observation-model discrepancy (22%) for East Asia is comparable to the uncertainties in Chinese emission inventories (approx.15%) suggested by recent reports. Our results suggest that by increasing the number of observations around emission sources, satellite instruments like GOSAT can provide a tool for detecting biases in reported emission inventories.
Document ID
20160006687
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Janardanan, Rajesh
(National Inst. for Environmental Studies Tsukuba, Japan)
Maksyutov, Shamil
(National Inst. for Environmental Studies Tsukuba, Japan)
Oda, Tomohiro
(Universities Space Research Association Greenbelt, MD, United States)
Saito, Makoto
(National Inst. for Environmental Studies Tsukuba, Japan)
Kaiser, Johannes W.
(Max-Planck-Inst. fuer Chemie Mainz, Germany)
Ganshin, Alexander
(Tomsk State Univ. Tomsk, Russian Federation)
Stohl, Andreas
(Norwegian Inst. for Air Research Kjeller, Norway)
Matsunaga, Tsuneo
(National Inst. for Environmental Studies Tsukuba, Japan)
Yoshida, Yukio
(National Inst. for Environmental Studies Tsukuba, Japan)
Yokota, Tatsuya
(National Inst. for Environmental Studies Tsukuba, Japan)
Date Acquired
May 27, 2016
Publication Date
April 2, 2016
Publication Information
Publication: Geophysical Research Letters
Publisher: AGU
Volume: 43
Issue: 7
Subject Category
Environment Pollution
Report/Patent Number
GSFC-E-DAA-TN31796
Funding Number(s)
CONTRACT_GRANT: NNG11HP16A
Distribution Limits
Public
Copyright
Other
Keywords
CO2
GOSAT
East Asia

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