Detection of Methane Emission from a Local Source Using GOSAT Target Observations
Emissions of atmospheric methane (CH<sub>4</sub>), which greatly contributes to radiative forcing, have larger uncertainties than those for carbon dioxide (CO<sub>2</sub>). The Thermal And Near-infrared Sensor for carbon Observation Fourier-Transform Spectrometer (TANSO-FTS)...
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MDPI AG
2020-01-01
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Online Access: | https://www.mdpi.com/2072-4292/12/2/267 |
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author | Akihiko Kuze Nobuhiro Kikuchi Fumie Kataoka Hiroshi Suto Kei Shiomi Yutaka Kondo |
author_facet | Akihiko Kuze Nobuhiro Kikuchi Fumie Kataoka Hiroshi Suto Kei Shiomi Yutaka Kondo |
author_sort | Akihiko Kuze |
collection | DOAJ |
description | Emissions of atmospheric methane (CH<sub>4</sub>), which greatly contributes to radiative forcing, have larger uncertainties than those for carbon dioxide (CO<sub>2</sub>). The Thermal And Near-infrared Sensor for carbon Observation Fourier-Transform Spectrometer (TANSO-FTS) onboard the Greenhouse gases Observing SATellite (GOSAT) launched in 2009 has demonstrated global grid observations of the total column density of CO<sub>2</sub> and CH<sub>4</sub> from space, and thus reduced uncertainty in the global flux estimation. In this paper, we present a case study on local CH<sub>4</sub> emission detection from a single-point source using an available series of GOSAT data. By modifying the grid observation pattern, the pointing mechanism of TANSO-FTS targets a natural gas leak point at Aliso Canyon in Southern California, where the clear-sky frequency is high. To enhance local emission estimates, we retrieved CO<sub>2</sub> and CH<sub>4</sub> partial column-averaged dry-air mole fractions of the lower troposphere (XCO<sub>2</sub> (LT) and XCH<sub>4</sub> (LT)) by simultaneous use of both sunlight reflected from Earth’s surface and thermal emissions from the atmosphere. The time-series data of Aliso Canyon showed a large enhancement that decreased with time after its initial blowout, compared with reference point data and filtered with wind direction simulated by the Weather Research and Forecasting (WRF) model. |
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issn | 2072-4292 |
language | English |
last_indexed | 2024-04-11T18:43:11Z |
publishDate | 2020-01-01 |
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series | Remote Sensing |
spelling | doaj.art-aa34b7232479443dae75c501418955ef2022-12-22T04:08:54ZengMDPI AGRemote Sensing2072-42922020-01-0112226710.3390/rs12020267rs12020267Detection of Methane Emission from a Local Source Using GOSAT Target ObservationsAkihiko Kuze0Nobuhiro Kikuchi1Fumie Kataoka2Hiroshi Suto3Kei Shiomi4Yutaka Kondo5Japan Aerospace Exploration Agency, Tsukuba-City, Ibaraki 305-8505, JapanJapan Aerospace Exploration Agency, Tsukuba-City, Ibaraki 305-8505, JapanRemote Sensing Technology Center of Japan, Tsukuba-City, Ibaraki 305-8505, JapanJapan Aerospace Exploration Agency, Tsukuba-City, Ibaraki 305-8505, JapanJapan Aerospace Exploration Agency, Tsukuba-City, Ibaraki 305-8505, JapanNational Institute of Polar Research, Tachikawa-City 190-8518, JapanEmissions of atmospheric methane (CH<sub>4</sub>), which greatly contributes to radiative forcing, have larger uncertainties than those for carbon dioxide (CO<sub>2</sub>). The Thermal And Near-infrared Sensor for carbon Observation Fourier-Transform Spectrometer (TANSO-FTS) onboard the Greenhouse gases Observing SATellite (GOSAT) launched in 2009 has demonstrated global grid observations of the total column density of CO<sub>2</sub> and CH<sub>4</sub> from space, and thus reduced uncertainty in the global flux estimation. In this paper, we present a case study on local CH<sub>4</sub> emission detection from a single-point source using an available series of GOSAT data. By modifying the grid observation pattern, the pointing mechanism of TANSO-FTS targets a natural gas leak point at Aliso Canyon in Southern California, where the clear-sky frequency is high. To enhance local emission estimates, we retrieved CO<sub>2</sub> and CH<sub>4</sub> partial column-averaged dry-air mole fractions of the lower troposphere (XCO<sub>2</sub> (LT) and XCH<sub>4</sub> (LT)) by simultaneous use of both sunlight reflected from Earth’s surface and thermal emissions from the atmosphere. The time-series data of Aliso Canyon showed a large enhancement that decreased with time after its initial blowout, compared with reference point data and filtered with wind direction simulated by the Weather Research and Forecasting (WRF) model.https://www.mdpi.com/2072-4292/12/2/267gosatmethanepartial column densityswirtirgas leakwrfflux |
spellingShingle | Akihiko Kuze Nobuhiro Kikuchi Fumie Kataoka Hiroshi Suto Kei Shiomi Yutaka Kondo Detection of Methane Emission from a Local Source Using GOSAT Target Observations Remote Sensing gosat methane partial column density swir tir gas leak wrf flux |
title | Detection of Methane Emission from a Local Source Using GOSAT Target Observations |
title_full | Detection of Methane Emission from a Local Source Using GOSAT Target Observations |
title_fullStr | Detection of Methane Emission from a Local Source Using GOSAT Target Observations |
title_full_unstemmed | Detection of Methane Emission from a Local Source Using GOSAT Target Observations |
title_short | Detection of Methane Emission from a Local Source Using GOSAT Target Observations |
title_sort | detection of methane emission from a local source using gosat target observations |
topic | gosat methane partial column density swir tir gas leak wrf flux |
url | https://www.mdpi.com/2072-4292/12/2/267 |
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