DocumentCode :
1897450
Title :
Seasonal variations of greenhouse gas column-averaged dry air mole fractions retrieved from SWIR spectra of GOSAT TANSO-FTS
Author :
Eguchi, Nawo ; Yoshida, Yukio ; Morino, Isamu ; Kikuchi, Nobuyuki ; Saeki, Tazu ; Inoue, Makoto ; Uchino, Osamu ; Maksyutov, Shamil ; Watanabe, Hiroshi ; Yokota, Tatsuya
Author_Institution :
Center for Global Environ. Res. (CGER), Nat. Inst. for Environ. Studies (NIES), Tsukuba, Japan
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
3542
Lastpage :
3545
Abstract :
GOSAT has monitored column-averaged dry air mole fractions of CO2 and CH4 (XCO2 and XCH4, respectively) for cloud-free scenes more than 2 years. The present paper shows the occurrence of the cloud-free data and the seasonal and inter-annual variation of XCO2 and XCH4 The seasonal variation of XCO2 in the boreal hemisphere consists with the previous knowledge from ground-based observation and atmospheric transport model but the relatively small seasonal amplitude of column amount. The globally averaged XCO2 suggests that the CO2 concentrations in the atmosphere have increased since 2009 with approximately 2 ppmv. The high temporal variations of XCH4 are found over the northern subtropics, especially the eastern Asia, however, where the cloud covers frequently during the rainy season. To more precise analysis, it is necessary to accumulate the effective data for analysis or to validate the effect of cloud on retrieved data.
Keywords :
Fourier transform spectra; air pollution; atmospheric composition; atmospheric movements; atmospheric techniques; carbon compounds; clouds; organic compounds; remote sensing; AD 2009; CO2; Eastern Asia; Fourier transform spectroscopy; GOSAT TANSO-FTS; SWIR spectra; atmospheric transport model; cloud cover; dry air mole fraction; greenhouse gas column; northern subtropics; Adaptive optics; Aerosols; Clouds; Computer aided instruction; Global warming; Optical scattering; Optical sensors; Carbon dioxide; Fourier transform spectrometer; Global warming; Methane; Satellite remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049986
Filename :
6049986
Link To Document :
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