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Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories

Authors :
Fenjuan Wang
Shamil Maksyutov
Aki Tsuruta
Rajesh Janardanan
Akihiko Ito
Motoki Sasakawa
Toshinobu Machida
Isamu Morino
Yukio Yoshida
Johannes W. Kaiser
Greet Janssens-Maenhout
Edward J. Dlugokencky
Ivan Mammarella
Jost Valentin Lavric
Tsuneo Matsunaga
Source :
Remote Sensing, Vol 11, Iss 21, p 2489 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

We present a global 0.1° × 0.1° high-resolution inverse model, NIES-TM-FLEXPART-VAR (NTFVAR), and a methane emission evaluation using the Greenhouse Gas Observing Satellite (GOSAT) satellite and ground-based observations from 2010–2012. Prior fluxes contained two variants of anthropogenic emissions, Emissions Database for Global Atmospheric Research (EDGAR) v4.3.2 and adjusted EDGAR v4.3.2 which were scaled to match the country totals by national reports to the United Nations Framework Convention on Climate Change (UNFCCC), augmented by biomass burning emissions from Global Fire Assimilation System (GFASv1.2) and wetlands Vegetation Integrative Simulator for Trace Gases (VISIT). The ratio of the UNFCCC-adjusted global anthropogenic emissions to EDGAR is 98%. This varies by region: 200% in Russia, 84% in China, and 62% in India. By changing prior emissions from EDGAR to UNFCCC-adjusted values, the optimized total emissions increased from 36.2 to 46 Tg CH4 yr−1 for Russia, 12.8 to 14.3 Tg CH4 yr−1 for temperate South America, and 43.2 to 44.9 Tg CH4 yr−1 for contiguous USA, and the values decrease from 54 to 51.3 Tg CH4 yr−1 for China, 26.2 to 25.5 Tg CH4 yr−1 for Europe, and by 12.4 Tg CH4 yr−1 for India. The use of the national report to scale EDGAR emissions allows more detailed statistical data and country-specific emission factors to be gathered in place compared to those available for EDGAR inventory. This serves policy needs by evaluating the national or regional emission totals reported to the UNFCCC.

Details

Language :
English
ISSN :
20724292 and 11212489
Volume :
11
Issue :
21
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.11e37cd016c045fe81797b61ee1b537a
Document Type :
article
Full Text :
https://doi.org/10.3390/rs11212489