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| Titel |
GOSAT mission status and data products for five years |
| VerfasserIn |
Tatsuya Yokota, Nobuhiro Kikuchi, Yukio Yoshida, Andrey Bril, Sergey Oshchepkov, Makoto Inoue, Isamu Morino, Osamu Uchino, Heon-Sook Kim, Hiroshi Takagi, Makoto Saito, Shamil Maksyutov, Akira Yuki, Sayaka Kanekon, Fumie Kawazoe, Masataka Ajiro |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250097950
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| Publikation (Nr.) |
 EGU/EGU2014-13579.pdf |
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| Zusammenfassung |
| The Greenhouse Gases Observing Satellite (GOSAT), launched on January 23, 2009, has
recently completed its planned nominal operation period of five years. Now, it is in the phase
of extended operation. Observational data obtained with two sensors onboard the satellite, the
TANSO Fourier Transform Spectrometer (FTS) and the TANSO Cloud and Aerosol Imager
(CAI), have been routinely processed into a suite of GOSAT data products for about five
years. Nearly all of the GOSAT standard data products, including TANSO-FTS SWIR Level
2 column-averaged concentrations (XCO2 and XCH4), Level 4A regional CO2 flux
estimates, and Level 4B model-simulated 3-D CO2 distributions, are publicly available at the
GOSAT User Interface Gateway (URL: https://data.gosat.nies.go.jp/). Trends and
anomalies in these data products, both on seasonal and annual timescales, are now being
analysed.
We herein report the latest status of the GOSAT Project, researches adopted in the
framework of the GOSAT Research Announcement, and the production of GOSAT
higher-level standard data products, along with status of validation and distribution of the
data products, plans of changing target observation schemes, and inter-comparison of
GOSAT-based retrieved column concentrations. We will also touch on the GOSAT
research data products that are opened to registered researchers (not validated). These
data products include TANSO-CAI Level 2 cloud and aerosol properties, Level 4A
regional CH4 flux estimates, and Level 4B model-simulated 3-D CH4 distributions. |
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