Paper
17 October 2007 Retrieval performance of GOSAT thermal infrared FTS sensor for measuring CO2 concentrations
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Abstract
The Greenhouse gases Observing Satellite (GOSAT) is a Japanese satellite that is intended to observe CO2 concentrations from space and to contribute to advancement of research related to CO2 source/sink estimation. The GOSAT main sensor is a Fourier Transform Spectrometer (FTS) named "TANSO-FTS", which covers a wide terrestrial radiation spectrum including CO2 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 CO2; the latter is used to retrieve the vertical profile of CO2 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 CO2 concentrations using the meteorological analysis data for temperature profiles. Key techniques for retrieving CO2 concentrations are 1) reduction of temperature estimation error through channel selection, 2) optimization of the a priori CO2 profile based on the output from a CO2 transport model, and 3) usage of SWIR data as an additional constraint in retrieval of vertical profiles of CO2. Simulation studies using the output from a CO2 transport model show that, although thermal infrared spectrum has poor sensitivity to the CO2 concentration change in the lower atmosphere, particularly in the boundary layer, we expect that CO2 concentration profiles in the lower atmosphere can be reproduced statistically by combining CO2 columnar data derived from SWIR as an additional constraint in retrieving a CO2 concentration profile from TIR data.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryoichi Imasu, Naoko Saitoh, and Yosuke Niwa "Retrieval performance of GOSAT thermal infrared FTS sensor for measuring CO2 concentrations", Proc. SPIE 6744, Sensors, Systems, and Next-Generation Satellites XI, 67440F (17 October 2007); https://doi.org/10.1117/12.737796
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Cited by 3 scholarly publications.
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KEYWORDS
Carbon monoxide

Sensors

Infrared radiation

Thermography

Infrared sensors

Atmospheric modeling

Data modeling

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