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| Titel |
Retrieval algorithm for CO2 and CH4 column abundances from short-wavelength infrared spectral observations by the Greenhouse gases observing satellite |
| VerfasserIn |
Y. Yoshida, Y. Ota, N. Eguchi, N. Kikuchi, K. Nobuta, H. Tran, I. Morino, T. Yokota |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 4, no. 4 ; Nr. 4, no. 4 (2011-04-11), S.717-734 |
| Datensatznummer |
250001930
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| Publikation (Nr.) |
 copernicus.org/amt-4-717-2011.pdf |
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| Zusammenfassung |
| The Greenhouse gases Observing SATellite (GOSAT) was launched on 23 January 2009
to monitor the global distributions of carbon dioxide and methane from
space. It has operated continuously since then. Here, we describe a
retrieval algorithm for column abundances of these gases from the
short-wavelength infrared spectra obtained by the Thermal And Near infrared
Sensor for carbon Observation-Fourier Transform Spectrometer (TANSO-FTS).
The algorithm consists of three steps. First, cloud-free observational
scenes are selected by several cloud-detection methods. Then, column
abundances of carbon dioxide and methane are retrieved based on the optimal
estimation method. Finally, the retrieval quality is examined to exclude
low-quality and/or aerosol-contaminated results. Most of the retrieval
random errors come from instrumental noise. The interferences due to
auxiliary parameters retrieved simultaneously with gas abundances are small.
The evaluated precisions of the retrieved column abundances for single
observations are less than 1% in most cases. The interhemispherical
differences and temporal variation patterns of the retrieved column
abundances show features similar to those of an atmospheric transport model. |
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