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The Greenhouse gases Observing SATellite (GOSAT) was launched on 23 January 2009 to monitor the global distributions of carbon dioxide and methane fromspace. It has operated continuously since then. Here, we describe aretrieval algorithm for column abundances of these gases from theshort-wavelength infrared spectra obtained by the Thermal And Near infraredSensor for carbon Observation-Fourier Transform Spectrometer (TANSO-FTS).The algorithm consists of three steps. First, cloud-free observationalscenes are selected by several cloud-detection methods. Then, columnabundances of carbon dioxide and methane are retrieved based on the optimalestimation method. Finally, the retrieval quality is examined to excludelow-quality and/or aerosol-contaminated results. Most of the retrievalrandom errors come from instrumental noise. The interferences due toauxiliary parameters retrieved simultaneously with gas abundances are small.The evaluated precisions of the retrieved column abundances for singleobservations are less than 1% in most cases. The interhemisphericaldifferences and temporal variation patterns of the retrieved columnabundances show features similar to those of an atmospheric transport model

atmospheric measurement techniques

Retrieval algorithm for CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and CH&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt; column abundances from short-wavelength infrared spectral observations by the Greenhouse gases observing satellite