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Titel |
Characteristics of GOSAT Level 2 column concentrations (XCO2 and XCH4) and other data products |
VerfasserIn |
Tatsuya Yokota, Nobuhiro Kikuchi, Yukio Yoshida, Andrey Bril, Sergey Oshchepkov, Makoto Inoue, Isamu Morino, Osamu Uchino, Dmitry Belikov, Tazu Saeki, Hiroshi Takagi, Shamil Maksyutov, Akira Yuki, Sayaka Kanekon, Fumie Kawazoe, Masataka Ajiro, Hiroshi Watanabe |
Konferenz |
EGU General Assembly 2013
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 15 (2013) |
Datensatznummer |
250078048
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Zusammenfassung |
Observational data obtained with two sensors onboard GOSAT, the TANSO Fourier
Transform Spectrometer (FTS) and the TANSO Cloud and Aerosol Imager (CAI), have been
operationally processed into a suite of GOSAT data products for about four years. Now,
nearly all of the GOSAT standard data products, including the Level 4A regional CO2
flux estimates, are publicly available at the GOSAT User Interface Gateway (URL:
https://data.gosat.nies.go.jp/).
The TANSO-FTS short-wavelength infrared (SWIR) Level 2 data product, which stores
column concentrations of carbon dioxide (XCO2) and methane (XCH4) retrieved from the
Level 1B SWIR spectral data, was updated in 2012 (version 02.**). In addition to the
TANSO-FTS SWIR Level 2 data product, we now have column concentration data obtained
with the PPDF-D retrieval algorithm, as a research outcome. The PPDF-D algorithm is
capable of estimating the effects of clouds and aerosols on measurement light path lengths
and filtering out the Level 1B SWIR spectra that are contaminated with clouds and aerosols
more strictly than the FTS SWIR Level 2 algorithm does, and therefore can selectively yield
column concentrations under very clear conditions of the atmosphere. More recently, the
PPDF-S algorithm, a method for retrieving XCO2 and PPDF parameters simultaneously, was
developed.
We herein report the latest status of the GOSAT higher level data products and the result
of comparing the TANSO-FTS SWIR Level 2 column concentrations with those by the
PPDF-D and PPDF-S algorithms. |
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