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Remote Sens. 2017, 9(9), 941; https://doi.org/10.3390/rs9090941

Assessment of Anthropogenic Methane Emissions over Large Regions Based on GOSAT Observations and High Resolution Transport Modeling

1
Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
2
Satellite Observation Center, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
*
Author to whom correspondence should be addressed.
Received: 10 August 2017 / Revised: 5 September 2017 / Accepted: 8 September 2017 / Published: 11 September 2017
(This article belongs to the Special Issue Remote Sensing of Greenhouse Gases)
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Abstract

Abstract: Methane is an important greenhouse gas due to its high warming potential. While quantifying anthropogenic methane emissions is important for evaluation measures applied for climate change mitigation, large emission uncertainties still exist for many source categories. To evaluate anthropogenic methane emission inventory in various regions over the globe, we extract emission signatures from column-average methane observations (XCH4) by GOSAT (Greenhouse gases Observing SATellite) satellite using high-resolution atmospheric transport model simulations. XCH4 abundance due to anthropogenic emissions is estimated as the difference between polluted observations from surrounding cleaner observations. Here, reduction of observation error, which is large compared to local abundance, is achieved by binning the observations over large region according to model-simulated enhancements. We found that the local enhancements observed by GOSAT scale linearly with inventory based simulations of XCH4 for the globe, East Asia and North America. Weighted linear regression of observation derived and inventory-based XCH4 anomalies was carried out to find a scale factor by which the inventory agrees with the observations. Over East Asia, the observed enhancements are 30% lower than suggested by emission inventory, implying a potential overestimation in the inventory. On the contrary, in North America, the observations are approximately 28% higher than model predictions, indicating an underestimation in emission inventory. Our results concur with several recent studies using other analysis methodologies, and thus confirm that satellite observations provide an additional tool for bottom-up emission inventory verification. View Full-Text
Keywords: methane emission inventory; GOSAT XCH4; Lagrangian model; greenhouse gases; anthropogenic emission methane emission inventory; GOSAT XCH4; Lagrangian model; greenhouse gases; anthropogenic emission
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Janardanan, R.; Maksyutov, S.; Ito, A.; Yukio, Y.; Matsunaga, T. Assessment of Anthropogenic Methane Emissions over Large Regions Based on GOSAT Observations and High Resolution Transport Modeling. Remote Sens. 2017, 9, 941.

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