JpGU-AGU Joint Meeting 2017

Presentation information

[EE] Oral

A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

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

Tue. May 23, 2017 9:00 AM - 10:30 AM 301B (International Conference Hall 3F)

convener:Nobuko Saigusa(National Institute for Environmental Studies), Prabir Patra(Research Institute for Global Change, JAMSTEC), Toshinobu Machida(National Institute for Environmental Studies), David Crisp(Jet Propulsion Laboratory), Chairperson:Toshinobu Machida(National Institute for Environmental Studies)

9:15 AM - 9:30 AM

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

*Akihiko Kuze1, Hitoshi Suto1, Kei Shiomi1, Fumie Kataoka2, David Crisp3, Andre Butz4 (1.Japan Aerospace Exploration Agency, 2.Remote Sensing Technology Center of Japan,, 3.Jet Propulsion Laboratory, California Institute of Technology, 4.German Aerospace Center)

Keywords: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.