Assessment of uncertainty in CO2 concentrations retrieved from thermal infrared spectra of GOSAT satellite

N. Saitoh; Y. Ota; S. Taguchi; R. Imasu

doi:10.1117/12.693803

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22 December 2006 Assessment of uncertainty in CO₂ concentrations retrieved from thermal infrared spectra of GOSAT satellite

N. Saitoh, Y. Ota, S. Taguchi, R. Imasu

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Proceedings Volume 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications; 640508 (2006) https://doi.org/10.1117/12.693803
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

Abstract

The Greenhouse Gases Observing Satellite (GOSAT) will be launched in 2008 for global observations of greenhouse gases such as CO₂ and methane. This study examines the feasibility of retrieving CO₂ concentrations from the infrared spectra of the GOSAT/Thermal and near infrared Sensor for Carbon Observation (TANSO)-FTS. Retrieval simulations in which the maximum a posteriori (MAP) method was applied to pseudo-spectra at 700-800 cm^-1 from TANSO-FTS ("CO₂ 15-?m band") showed that retrieved CO₂ profiles agreed with true CO₂ profiles to within the total errors throughout the troposphere above 700-800 hPa when atmospheric conditions such as temperature used in the computation of the spectra were known. In contrast, discrepancies between retrieved CO₂ and true CO₂ concentrations increased if temperatures used in the retrieval included random errors; a random scatter of ±0.5 K caused a discrepancy that was 12 times larger at ~750 hPa. However, appropriate channel selection based on CO₂ and temperature information could reduce the effect of temperature uncertainty on CO₂ retrievals in this spectral region: the discrepancy between retrieved and true concentrations at ~750 hPa in the case with channel selection was about one-third of the discrepancy without any channel selection.

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N. Saitoh, Y. Ota, S. Taguchi, and R. Imasu "Assessment of uncertainty in CO₂ concentrations retrieved from thermal infrared spectra of GOSAT satellite", Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 640508 (22 December 2006); https://doi.org/10.1117/12.693803

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