Paper
13 December 2006 CO2 retrieval performance of TANSO-FTS (TIR) sensor aboard greenhouse gases observing satellite (GOSAT)
Author Affiliations +
Proceedings Volume 6580, 15th Symposium on High-Resolution Molecular Spectroscopy; 65800Z (2006) https://doi.org/10.1117/12.724963
Event: 15th Symposium on High-Resolution Molecular Spectroscopy, 2006, Nizhny Novgorod, Russian Federation
Abstract
The Greenhouse gases Observing Satellite (GOSAT) is a Japanese satellite that is intended to observe CO2 concentration from space and to contribute to advancement of research of the source/sink estimation of CO2. 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, 2.0 μm, and 15 μm. The former two bands are used to estimate columnar concentration of CO2; the latter is used to retrieve the vertical profile of CO2 in the upper atmosphere above about 700 hPa pressure level. In addition, another installed on the satellite is an imaging sensor that will be used to detect clouds and aerosols: Cloud and Aerosol Imager (CAT). The Center for Climate System Research (CCSR) has contracted with the Japan Aerospace Exploration Agency (JAXA) to develop an algorithm to retrieve CO2 concentration profiles from data measured by the thermal infrared (TIR) band of the TANSO-FTS sensor. We adopt the maximum a posteriori method (MAP) to retrieve the vertical profile of atmospheric parameters from thermal infrared spectra. Key techniques for retrieving CO2 concentrations are 1) reduction of temperature estimation error through channel selection, 2) optimization of the initial guess for CO2 profile based on the output from a chemical transport model (CTM), and 3) usage of data from the 1.6 μm band of TANSO-FTS as an additional constraint in retrieval of vertical profiles of CO2. Although thermal infrared spectrum data have poor vertical resolving power for CO2 concentration in the lower atmosphere, particularly in the boundary layer, we expect that CO2 amount in the lower atmosphere can be deduced by substituting the upper level concentration from the columnar concentration estimated from the 1 .6 μm band data.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryoichi Imasu, Naoko Saitoh, Yoshifumi Ota, and Shoichi Taguchi "CO2 retrieval performance of TANSO-FTS (TIR) sensor aboard greenhouse gases observing satellite (GOSAT)", Proc. SPIE 6580, 15th Symposium on High-Resolution Molecular Spectroscopy, 65800Z (13 December 2006); https://doi.org/10.1117/12.724963
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KEYWORDS
Carbon dioxide

Sensors

Satellites

Infrared radiation

Thermography

Data modeling

Carbon monoxide

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