JpGU-AGU Joint Meeting 2017

講演情報

[EE] 口頭発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS04] [EE] Global Carbon Cycle Observation and Analysis

2017年5月23日(火) 09:00 〜 10:30 301B (国際会議場 3F)

コンビーナ:三枝 信子(国立環境研究所)、Patra Prabir(Research Institute for Global Change, JAMSTEC)、町田 敏暢(国立環境研究所)、David Crisp(Jet Propulsion Laboratory)、座長:町田 敏暢(国立環境研究所)

09:15 〜 09:30

[AAS04-02] Estimating local GHG emission amount using GOSAT

*久世 暁彦1須藤 洋志1塩見 慶1片岡 文恵2クリスプ デビッド3ブッツ アンドレ4 (1.Japan Aerospace Exploration Agency、2.Remote Sensing Technology Center of Japan,、3.Jet Propulsion Laboratory, California Institute of Technology、4.German Aerospace Center)

キーワード:GOSAT, CH4 Emission, CO2 Emisson, TANSO-FTS, Satellite, Greenhouse Gases

High spectral resolution spectrometers such as the Greenhouse gases Observing SATellite (GOSAT) have successfully retrieved column-averaged dry air mole fractions of CO2 and CH4 globally with an accuracy of 2 ppm or 0.5% and 13 ppb or 0.7%, respectively. However, spatial coverage is sparse, and a spatial resolution of 10.5 km is not sufficiently high for detecting local greenhouse gas (GHG) enhancement. Several research groups have been trying to estimate the GHG emission amount from different sources, which are not uniformly distributed. To estimate the emission flux quantitatively from space, the satellite footprint should cover an entire emission area to the extent and wind speed information is required. Therefore, a combination of sampling pattern and frequency should be optimized. Here, we discuss the time-scale and seasonal variation of both point and area emission sources.
Using the GOSAT target observation capability with an agile pointing, we demonstrate enhanced GHG measurement associated with (1) extremely high emissions from a gas leak at the north end of the Los Angeles (LA) basin, (2) a widespread megacity and point source at the west end of the LA basin, and (3) seasonal variations in the seven-year data set.
Satellite remote sensing has high precision but usually has bias and requires appropriate proper reference points. We selected three reference points near LA: the Railroad Valley, NV (remote desert); the Armstrong Research Center (desert close to the LA basin); and Catalina Island (isolated ocean). We used the XCO2 product of ACOS B73 and the XCO2 and XCH4 product of RemoteC from GOSAT level 1B V201.202
In this study, we also show the quantification limit obtained from the present GOSAT observation and propose an idea to modify the instrument suite by improving spatial resolution and spatial coverage, adding mapping capability and observing other short lived atmospheric trace species.