Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories
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,...
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doaj-11e37cd016c045fe81797b61ee1b537a2020-11-25T01:39:57ZengMDPI AGRemote Sensing2072-42922019-10-011121248910.3390/rs11212489rs11212489Methane Emission Estimates by the Global High-Resolution Inverse Model Using National InventoriesFenjuan Wang0Shamil Maksyutov1Aki Tsuruta2Rajesh Janardanan3Akihiko Ito4Motoki Sasakawa5Toshinobu Machida6Isamu Morino7Yukio Yoshida8Johannes W. Kaiser9Greet Janssens-Maenhout10Edward J. Dlugokencky11Ivan Mammarella12Jost Valentin Lavric13Tsuneo Matsunaga14Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, JapanCenter for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, JapanClimate System Research, Finnish Meteorological Institute, 00560 Helsinki, FinlandCenter for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, JapanCenter for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, JapanCenter for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, JapanCenter for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, JapanCenter for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, JapanCenter for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, JapanDeutscher Wetterdienst, 63067 Offenbach, GermanyEuropean Commission Joint Research Centre, 21027 Ispra, ItalyEarth System Research Laboratory, NOAA, Boulder, CO 80305-3328, USAInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00560 Helsinki, FinlandDepartment Biogeochemical Systems, Max Planck Institute for Biogeochemistry, 07745 Jena, GermanyCenter for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506, JapanWe 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 CH<sub>4</sub> yr<sup>−1</sup> for Russia, 12.8 to 14.3 Tg CH<sub>4</sub> yr<sup>−1</sup> for temperate South America, and 43.2 to 44.9 Tg CH<sub>4</sub> yr<sup>−1</sup> for contiguous USA, and the values decrease from 54 to 51.3 Tg CH<sub>4</sub> yr<sup>−1</sup> for China, 26.2 to 25.5 Tg CH<sub>4</sub> yr<sup>−1</sup> for Europe, and by 12.4 Tg CH<sub>4</sub> yr<sup>−1</sup> 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.https://www.mdpi.com/2072-4292/11/21/2489methane emissionsntfvargosatedgarv4.3.2unfccc reports |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
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 |
spellingShingle |
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 Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories Remote Sensing methane emissions ntfvar gosat edgarv4.3.2 unfccc reports |
author_facet |
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 |
author_sort |
Fenjuan Wang |
title |
Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories |
title_short |
Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories |
title_full |
Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories |
title_fullStr |
Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories |
title_full_unstemmed |
Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories |
title_sort |
methane emission estimates by the global high-resolution inverse model using national inventories |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2019-10-01 |
description |
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 CH<sub>4</sub> yr<sup>−1</sup> for Russia, 12.8 to 14.3 Tg CH<sub>4</sub> yr<sup>−1</sup> for temperate South America, and 43.2 to 44.9 Tg CH<sub>4</sub> yr<sup>−1</sup> for contiguous USA, and the values decrease from 54 to 51.3 Tg CH<sub>4</sub> yr<sup>−1</sup> for China, 26.2 to 25.5 Tg CH<sub>4</sub> yr<sup>−1</sup> for Europe, and by 12.4 Tg CH<sub>4</sub> yr<sup>−1</sup> 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. |
topic |
methane emissions ntfvar gosat edgarv4.3.2 unfccc reports |
url |
https://www.mdpi.com/2072-4292/11/21/2489 |
work_keys_str_mv |
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