Level 1 algorithms for TANSO on GOSAT: processing and on-orbit calibrations

Kuze, Akihiko; Shimada, Hiroshi; Shiomi, Kei; Urabe, Tomoyuki; Nakajima, M.; Yoshida, Jun; Kawashima, T.; Yamamoto, Yuko; Kataoka, Fumie; Buijs, Henry

doi:10.5194/amt-5-2447-2012

Cited by 63 publications

(52 citation statements)

References 24 publications

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“…Column amounts of greenhouse gases are observed in the SWIR bands, and vertical information of gas concentrations are obtained in the TIR band (Yoshida et al, 2011Saitoh et al, 2009Saitoh et al, , 2012Ohyama et al, 2012Ohyama et al, , 2013. Kuze et al (2012) provided a detailed description of the methods used for the processing and calibration of level 1B (L1B) spectral data from TANSO-FTS. They explained the algorithm for the version 150.151 (V150.151) L1B spectral data.…”

Section: Gosat Observationsmentioning

confidence: 99%

Algorithm update of the GOSAT/TANSO-FTS thermal infrared CO2 product (version 1) and validation of the UTLS CO2 data using CONTRAIL measurements

et al. 2016

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Abstract. 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 (CO 2 ) concentrations in several atmospheric layers in the thermal infrared (TIR) band since its launch. This study compared TANSO-FTS TIR version 1 (V1) CO 2 data and CO 2 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 CO 2 concentrations, to validate the quality of the TIR V1 UTLS CO 2 data from 287 to 162 hPa. We first evaluated the impact of considering TIR CO 2 averaging kernel functions on CO 2 concentrations using CO 2 profile data obtained by the CONTRAIL Continuous CO 2 Measuring Equipment (CME), and found that the impact at around the CME level flight 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 flights between Tokyo and Sydney, the averages of the TIR upper-atmospheric CO 2 data were within 0.1 % of the averages of the CONTRAIL CME CO 2 data with and without TIR CO 2 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 CO 2 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 CO 2 data were on average within 1 ppm in fall and winter, TIR CO 2 data had a negative bias up to 2.4 ppm against CME CO 2 data with TIR CO 2 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 CO 2 concentrations being lower than that of CME CO 2 concentrations, which led to an underestimate of the amplitude of CO 2 seasonal variation.

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Section: Gosat Observationsmentioning

confidence: 99%

Algorithm update of the GOSAT/TANSO-FTS thermal infrared CO2 product (version 1) and validation of the UTLS CO2 data using CONTRAIL measurements

et al. 2016

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“…As shown in Fig. 2c of Kuze et al (2012), GOSAT measures the spectra three times at approximately the same location. When multiple data were available at almost the same location, we selected the XCH 4 data with the lowest spectral fitting residuals (χ 2 ) as a representative data for that location (see Section 4).…”

Section: Introductionmentioning

confidence: 99%

Comparison of GOSAT SWIR and Aircraft Measurements of XCH4 over West Siberia

Ono

Hayashida

Sugita

et al. 2015

SOLA

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We investigated the validity of column-averaged dry air mole fractions of methane (XCH 4 : V02.21) retrieved from shortwave infrared (SWIR) spectra obtained by Greenhouse gases Observing SATellite (GOSAT) over Siberia, which is known as a major source area of methane (CH 4 ). We compared the GOSAT XCH 4 dataset with aircraft measurements of XCH 4 that have been collected in Novosibirsk and Surgut, West Siberia since the 1990s. The average difference between the GOSAT XCH 4 and aircraft-based XCH 4 was −1.0 ± 22.0 ppb in Novosibirsk and −0.4 ± 14.8 ppb in Surgut when we selected appropriate data pairs. These results indicate that GOSAT XCH 4 data obtained over West Siberia is consistent with aircraft measurements and assure the reliability of the GOSAT XCH 4 product for scientific analysis.

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“…TANSO-FTS consists of four spectral bands: Band 1 (0.75-0.78 µm), Band 2 (1.56-1.72 µm), Band 3 (1.92-2.08 µm), and Band 4 (5.5-14.3 µm). The spectra resolution of Band 4 is 0.2 cm −1 and its signal-to-noise ratio (SNR) averages approximately 300 at Band 4 for a blackbody temperature of 280 K. (Kuze et al, 2009(Kuze et al, , 2012Saitoh et al, 2009). More information on TANSO-FTS TIR and its calibration can be found in Kuze et al (2012).…”

Section: Gosat Tanso-fts Tir and The Retrieval Algorithm Descriptionmentioning

confidence: 99%

“…The spectra resolution of Band 4 is 0.2 cm −1 and its signal-to-noise ratio (SNR) averages approximately 300 at Band 4 for a blackbody temperature of 280 K. (Kuze et al, 2009(Kuze et al, , 2012Saitoh et al, 2009). More information on TANSO-FTS TIR and its calibration can be found in Kuze et al (2012). In the TIR retrieval algorithm version 1.0, all the channels in 7.3-8.8 µm, which include both the CH 4 and N 2 O absorption bands, are used for CH 4 retrieval.…”

Section: Gosat Tanso-fts Tir and The Retrieval Algorithm Descriptionmentioning

confidence: 99%

Satellite observation of atmospheric methane: intercomparison between AIRS and GOSAT TANSO-FTS retrievals

et al. 2016

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Abstract. Space-borne observations of atmospheric methane (CH 4 ) have been made using the Atmospheric Infrared Sounder (AIRS) on the EOS/Aqua satellite since August 2002 and the Thermal and Near-infrared Sensor for Carbon Observation Fourier Transform Spectrometer (TANSO-FTS) on the Greenhouse Gases Observing Satellite (GOSAT) since April 2009. This study compared the GOSAT TANSO-FTS thermal infrared (TIR) version 1.0 CH 4 product with the collocated AIRS version 6 CH 4 product using data from 1 August 2010 to 30 June 2012, including the CH 4 mixing ratios and the total column amounts. The results show that at 300-600 hPa, where both AIRS and GOSAT-TIR CH 4 have peak sensitivities, they agree very well, but GOSAT-TIR retrievals tend to be higher than AIRS in layer 200-300 hPa. At 300 hPa the CH 4 mixing ratio from GOSAT-TIR is, on average, 10.3 ± 31.8 ppbv higher than that from AIRS, and at 600 hPa GOSAT-TIR retrieved CH 4 is −16.2 ± 25.7 ppbv lower than AIRS CH 4 . Comparison of the total column amount of CH 4 shows that GOSAT-TIR agrees with AIRS to within 1 % in the mid-latitude regions of the Southern Hemisphere and in the tropics. In the mid to high latitudes in the Northern Hemisphere, comparison shows that GOSAT-TIR is ∼ 1-2 % lower than AIRS, and in the high-latitude regions of the Southern Hemisphere the difference of GOSAT from AIRS varies from −3 % in October to +2 % in July. The difference between AIRS and GOSAT TANSO-FTS retrievals is mainly due to the difference in retrieval algorithms and instruments themselves, and the larger difference in the highlatitude regions is associated with the low information content and small degrees of freedom of the retrieval. The degrees of freedom of GOSAT-TIR retrievals are lower than that of AIRS, which also indicates that the constraint in GOSAT-TIR retrievals may be too strong. From the good correlation between AIRS and GOSAT-TIR retrievals and the seasonal variation they observed, we are confident that the thermal infrared measurements from AIRS and GOSAT-TIR can provide valuable information to capture the spatial and temporal variation of CH 4 , especially in the mid-upper troposphere, in most periods and regions.

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Level 1 algorithms for TANSO on GOSAT: processing and on-orbit calibrations

Cited by 63 publications

References 24 publications

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

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

Comparison of GOSAT SWIR and Aircraft Measurements of XCH<sub>4</sub> over West Siberia

Satellite observation of atmospheric methane: intercomparison between AIRS and GOSAT TANSO-FTS retrievals

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Level 1 algorithms for TANSO on GOSAT: processing and on-orbit calibrations

Cited by 63 publications

References 24 publications

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

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

Comparison of GOSAT SWIR and Aircraft Measurements of XCH<sub>4</sub> over West Siberia

Satellite observation of atmospheric methane: intercomparison between AIRS and GOSAT TANSO-FTS retrievals

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Product

Resources

About

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

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