Seasonal variations of greenhouse gas column-averaged dry air mole fractions retrieved from SWIR spectra of GOSAT TANSO-FTS

Nawo Eguchi, Yukio Yoshida, Isamu Morino, Nobuyuki Kikuchi, Tazu Saeki, Makoto Inoue, Osamu Uchino, Shamil Maksyutov, Hiroshi Watanabe, Tatsuya Yokota

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

GOSAT has monitored column-averaged dry air mole fractions of CO 2 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 XCO 2 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.

Original languageEnglish
Title of host publication2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages3542-3545
Number of pages4
DOIs
Publication statusPublished - Nov 16 2011
Externally publishedYes
Event2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
Duration: Jul 24 2011Jul 29 2011

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
CountryCanada
CityVancouver, BC
Period7/24/117/29/11

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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