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- W2022237757 abstract "The Greenhouse gases Observing Satellite (GOSAT) is a Japanese satellite that is intended to observe CO<sub>2</sub> concentrations from space and to contribute to advancement of research related to CO<sub>2</sub> source/sink estimation. The GOSAT main sensor is a Fourier Transform Spectrometer (FTS) named TANSO-FTS, which covers a wide terrestrial radiation spectrum including CO<sub>2</sub> absorption bands at 1.6 μm (Short Wavelength InfraRed, SWIR), and 15 μm (Thermal InfraRed, TIR). The former band is used to estimate columnar concentration of CO<sub>2</sub>; the latter is used to retrieve the vertical profile of CO<sub>2</sub> in the upper atmosphere above the ca. 700 hPa pressure level. We adopt the maximum a posteriori method (MAP) to retrieve the vertical profile of CO<sub>2</sub> concentrations using the meteorological analysis data for temperature profiles. Key techniques for retrieving CO<sub>2</sub> concentrations are 1) reduction of temperature estimation error through channel selection, 2) optimization of the a priori CO<sub>2</sub> profile based on the output from a CO<sub>2</sub> transport model, and 3) usage of SWIR data as an additional constraint in retrieval of vertical profiles of CO<sub>2</sub>. Simulation studies using the output from a CO<sub>2</sub> transport model show that, although thermal infrared spectrum has poor sensitivity to the CO<sub>2</sub> concentration change in the lower atmosphere, particularly in the boundary layer, we expect that CO<sub>2</sub> concentration profiles in the lower atmosphere can be reproduced statistically by combining CO<sub>2</sub> columnar data derived from SWIR as an additional constraint in retrieving a CO<sub>2</sub> concentration profile from TIR data." @default.
- W2022237757 created "2016-06-24" @default.
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- W2022237757 date "2007-10-05" @default.
- W2022237757 modified "2023-10-03" @default.
- W2022237757 title "Retrieval performance of GOSAT thermal infrared FTS sensor for measuring CO 2 concentrations" @default.
- W2022237757 doi "https://doi.org/10.1117/12.737796" @default.
- W2022237757 hasPublicationYear "2007" @default.
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