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Algorithm update of the GOSAT/TANSO-FTS thermal infrared CO<sub>2</sub> product (version 1) and validation of the UTLS CO<sub>2</sub> data using CONTRAIL measurements

DOI:10.5194/amt-9-2119-2016 期刊:Atmospheric Measurement Techniques 出版年份:2016 更新时间:2025-09-04 15:30:14
摘要: The Thermal and Near Infrared Sensor for Carbon Observation (TANSO)–Fourier Transform Spectrometer (FTS) on board the Greenhouse Gases Observing Satellite (GOSAT) has been observing carbon dioxide (CO2) concentrations in several atmospheric layers in the thermal infrared (TIR) band since its launch. This study compared TANSO-FTS TIR version 1 (V1) CO2 data and CO2 data obtained in the Comprehensive Observation Network for TRace gases by AIrLiner (CONTRAIL) project in the upper troposphere and lower stratosphere (UTLS), where the TIR band of TANSO-FTS is most sensitive to CO2 concentrations, to validate the quality of the TIR V1 UTLS CO2 data from 287 to 162 hPa. We ?rst evaluated the impact of considering TIR CO2 averaging kernel functions on CO2 concentrations using CO2 pro?le data obtained by the CONTRAIL Continuous CO2 Measuring Equipment (CME), and found that the impact at around the CME level ?ight altitudes (~ 11 km) was on average less than 0.5 ppm at low latitudes and less than 1 ppm at middle and high latitudes. From a comparison made during ?ights between Tokyo and Sydney, the averages of the TIR upper-atmospheric CO2 data were within 0.1 % of the averages of the CONTRAIL CME CO2 data with and without TIR CO2 averaging kernels for all seasons in the Southern Hemisphere. The results of comparisons for all of the eight airline routes showed that the agreements of TIR and CME CO2 data were worse in spring and summer than in fall and winter in the Northern Hemisphere in the upper troposphere. While the differences between TIR and CME CO2 data were on average within 1 ppm in fall and winter, TIR CO2 data had a negative bias up to 2.4 ppm against CME CO2 data with TIR CO2 averaging kernels at the northern low and middle latitudes in spring and summer. The negative bias at the northern middle latitudes resulted in the maximum of TIR CO2 concentrations being lower than that of CME CO2 concentrations, which led to an underestimate of the amplitude of CO2 seasonal variation.
作者: Naoko Saitoh,Shuhei Kimoto,Ryo Sugimura,Ryoichi Imasu,Shuji Kawakami,Kei Shiomi,Akihiko Kuze,Toshinobu Machida,Yousuke Sawa,Hidekazu Matsueda
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To validate the quality of the Thermal and Near Infrared Sensor for Carbon Observation (TANSO)–Fourier Transform Spectrometer (FTS) on board the Greenhouse Gases Observing Satellite (GOSAT) thermal infrared (TIR) version 1 (V1) upper troposphere and lower stratosphere (UTLS) CO2 data by comparing it with CO2 data obtained in the Comprehensive Observation Network for TRace gases by AIrLiner (CONTRAIL) project.

The study validated the quality of GOSAT/TANSO-FTS TIR V1 UTLS CO2 data, showing good agreement with CONTRAIL CME CO2 data in the Southern Hemisphere but a negative bias in the Northern Hemisphere, especially in spring and summer. This bias affects the estimation of CO2 seasonal variation amplitude. The findings emphasize the need to consider seasonally and regionally dependent biases when using TIR V1 L2 CO2 data for scientific analysis.

The study highlights the negative bias in TIR CO2 data against CONTRAIL CME CO2 data at northern low and middle latitudes in spring and summer, which could lead to an underestimate of the amplitude of CO2 seasonal variation. The quality of TIR lower-stratospheric CO2 data depends largely on the information content, being only valid in summer at high latitudes.

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