Paper
13 November 2010 Retrieval of minor constituents from thermal infrared spectra observed by GOSAT TANSO-FTS sensor
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Abstract
The thermal infrared band of the main sensor of the greenhouse gas observing satellite (GOSAT), the TANSO-FTS, must be calibrated with accuracy higher than 0.3 K in the brightness temperature Tbb for retrieving CO2 concentration with accuracy of 1% in the upper atmosphere. However, that accuracy has not been achieved because of some error sources. One is the systematic bias in the radiance spectrum resulting from effects of radiation emitted from internal optics and multiple scattering of target signals. Another is the polarization effect of the pointing mirror. Both effects can be merged into two parameters, gain and offset, in the two point calibration procedure. They can be tuned by comparing the spectrum with well-calibrated spectra such as those from the AIRS sensor. Based on the corrected radiance spectra, global CO2 concentrations were processed. However, they show peculiar latitudinal distribution implying the existence of temporally variant parameters that can affect the calibration. This bias can be reduced by referring to housekeeping data of the satellite in the calibration procedure. The stratospheric ozone distribution is also analyzed. The sensor demonstrated the difference in the ozone hole feature between spring 2009 and 2010 over the South Pole.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryoichi Imasu, Yoji Hayashi, Akiko Inagoya, Naoko Saitoh, and Kei Shiomi "Retrieval of minor constituents from thermal infrared spectra observed by GOSAT TANSO-FTS sensor", Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 785708 (13 November 2010); https://doi.org/10.1117/12.870684
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Cited by 4 scholarly publications.
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KEYWORDS
Carbon dioxide

Sensors

Calibration

Infrared radiation

Thermography

Ozone

Infrared sensors

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