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地球観測データ利用ハンドブック

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Calibration and Level 1 Algorithm

  1. <TANSO onboard GOSAT>
    Kuze, A., Suto, H., Nakajima, M., and Hamazaki, T.: Thermal and near infrared sensor for carbon observation Fourier-transform spectrometer on the Greenhouse Gases Observing Satellite for greenhouse gases monitoring, Appl. Opt., 48, 6716-6733, doi:10.1364/AO.48.006716, 2009.
  2. <Prelaunch cross calibration>
    Sakuma, F., Bruegge, C., Rider, D., Brown, D., Geier, S., Kawakami, S., and Kuze, A.: OCO/GOSAT Preflight Cross-Calibration Experiment, IEEE Trans. Geosci. Remote Sens., 48, doi:10.1109/TGRS.2009.2026050, 585-599, 2010.
  3. <Vicarious Calibration method>
    Kuze, A., O'Brien, D. M., Taylor, T. E., Day, J. O., O'Dell, C., Kataoka, F., Yoshida, M., Mitomi, Y., Bruegge, C., Pollock, H., Basilio, R., Helmlinger, M., Matsunaga, T., Kawakami, S., Shiomi, K., Urabe, T., and Suto, H.: Vicarious calibration of the GOSAT sensors using the Railroad Valley desert playa, IEEE Trans. Geosci. Remote Sens., 49, 1781-1795, doi:10.1109/TGRS.2010.2089527, 2011.
  4. <L1B processing and calibration>
    Kuze, A., Suto, H., Shiomi, K., Urabe, T., Nakajima, M., Yoshida, J., Kawashima, T., Yamamoto, Y., and Kataoka, F.: Level 1 algorithms for TANSO on GOSAT: processing and on-orbit calibration, Atmos. Meas. Tech., 5, 2959-3018, doi:10.5194/amt-5-2447-2012, 2012.
  5. <L1B algorithm, micro vibration correction>
    Suto, H., Yoshida, J., Desbiens, R., Kawashima, T., and Kuze, A.: Characterization and correction of spectral distortions induced by microvibrations onboard the GOSAT Fourier transform spectrometer, Appl. Opt., 52, 4969-4980, doi:10.1364/AO.52.004969, 2013.
  6. <TIR radiometric Calibration with airborne FTS>
    Kataoka, F., Knuteson, R. O., Kuze, A., Suto, H., Shiomi, K., Harada, M., Garms, E. M., Roman, J., Tobin, D. C., Taylor, J., Revercomb, H. E., Sekio, N., Higuchi, R., and Mitomi, Y.: TIR Spectral radiance calibration of the GOSAT satellite borne TANSO-FTS with the aircraft-based S-HIS and the ground based S-AERI at the Railroad Valley Desert playa, IEEE Trans. Geosci. Remote Sensing, 52, 89- 105, doi:10.1109/TGRS.2012.2236561, 2014.
  7. <Long term vicarious calibration>
    Kuze, A., Taylor, T.E., Kataoka, F., Bruegge, C. J., Crisp, D., Harada, M., Helmlinger, M., Inoue, M., Kawakami, S., Kikuchi, N., Mitomi, Y., Murooka, J. Naito, M., O'Brien, D. M., O'Dell, C. W., Ohyama, H., Pollock, H., Schwandner, F. M., Shiomi, K., Suto, H., Takeda, T., Tanaka, T., Urabe, T., Yokota, T., and Yoshida, Y.: Long term vicarious calibration of GOSAT sensors; techniques for error reduction and new estimates of degradation factors, IEEE Trans. Geosci. Remote Sens., 52, 3991-4004, doi:10.1109/TGRS.2013.2278696, 2014.
  8. <Long term operation>
    Kuze, A., Suto, H., Shiomi, K., Kawakami, S., Tanaka, M., Ueda, Y., Deguchi, A., Yoshida, J., Yamamoto, Y., Kataoka, F., Taylor, T. E., and Buijs, H.: Update on GOSAT TANSO-FTS performance, operations, and data products after more than six years in space, Atmos. Meas. Tech., 9, 2445-2461, doi:10.5194/amt-9-2445-2016, 2016.
  9. <GOSAT and OCO-2 Inter-comparison>
    Kataoka F, Crisp D, Taylor TE, O’Dell CW, Kuze A, Shiomi K, Suto H, Bruegge C, Schwandner FM, Rosenberg R, et al.: The Cross-Calibration of Spectral Radiances and Cross-Validation of CO2 Estimates from GOSAT and OCO-2. Remote Sensing. 2017; 9(11):1158.https://doi.org/10.3390/rs9111158
  10. Suto, H., Kataoka, F., Kikuchi, N., Knuteson, R. O., Butz, A., Haun, M., Buijs, H., Shiomi, K., Imai, H., Kuze, A., 2021. Thermal and near-infrared sensor for carbon observation Fourier-transform spectrometer-2 (TANSO-FTS-2) on the Greenhouse Gases Observing Satellite-2 (GOSAT-2) during its first year on orbit, Atmos. Meas. Tech., 14, 2013-2039.https://doi.org/10.1029/2021GL092685
  11. Hiroshi Suto, Fumie Kataoka, Robert O. Knuteson, Kei Shiomi, Nobuhiro Kikuchi, Akihiko Kuze, "Updated spectral radiance calibration on TIR bands for TANSO-FTS-2 onboard GOSAT-2," Atmos. Meas. Tech. 15, 5399 (2022)

Plant Fluorescence

  1. Guanter, L., Frankenberg, C., Dudhia, A., Lewis, P. E., Gomez-Dans, J., Kuze, A., Suto, H. and Grainger, R. G.: Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements, Remote Sens. Env., 121, 236-251, doi:10.1016/j.rse.2012.02.006, 2012.
  2. Frankenberg, C., Fisher, J. B., Worden, J., Badgley, G., Saatchi, S. S., Lee, J.-E., Toon, G. C., Butz, A., Jung, M., Kuze, A., and Yokota, T.: New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity, Geophys. Res. Lett., 38, L17706, doi:10.1029/2011GL048738, 2011.
  3. Joiner, J., Yoshida, Y., Vasilkov, A. P., Yoshida, Y., Corp, L. A., and Middleton, E. M.: First observations of global and seasonal terrestrial chlorophyll fluorescence from space, Biogeosci. 8, 637-651, doi:10.5194/bg-8-637-2011, 2011.

Observation Accuracy

  1. Butz, A., Guerlet, S., Hasekamp, O., Schepers, D., Galli, A., Aben, I., Frankenberg, C., Hartmann, J.-M., Tran, H., Kuze, A., Keppel-Aleks, G., Toon, G., Wunch, D., Wennberg, P., Deutscher, N., Griffith, D., Macatangay, R., Messerschmidt, J., Notholt, J., and Warneke, T.: Toward accurate CO2 and CH4 observations from GOSAT, Geophys. Res. Lett., 38, L14812, doi:10.1029/2011GL047888, 2011.
  2. Yoshida, Y., Ota, Y., Eguchi, N., Kikuchi, N., Nobuta, K., Tran, H., Morino, I., and Yokota, T.: Retrieval algorithm for CO2 and CH4 column abundances from short-wavelength infrared spectral observations by the Greenhouse Gases Observing Satellite, Atmos. Meas. Tech. 4, 717-734, doi:10.5194/amt-4-717-2011, 2011.

GHG Flux Estimation

  1. A.Kuze, Y.Nakamura, T.Oda, J.Yoshida, N.Kikuchi, F.Kataoka, H.Suto, K.Shiomia: Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities, 2022.
  2. Turner, A., Jacob, D., Benmergui, J., Wofsy, S., Maasakkers, J., Butz, A., Hasekamp, O., Biraud, S.: A large increase in U.S. methane emissions over the past decade inferred from satellite data and surface observations, Geophys. Res. Lett., 43, doi:10.1002/2016GL067987, 2016
  3. Turner, A., Jacob, D., Wecht, K., Maasakkers, J., Lundgren, E., Andrews, A., Biraud, S., Boesch, H., Bowman, K., Deutscher, N., Dubey, M., Griffith, D., Hase, F., Kuze, A., Notholt, J., Ohyama, H., Parker, R., Payne, V., Sussmann, R., Sweeney, C., Velazco, V., Warneke, T., Wennberg, P., Wunch, D.: Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data, Atmos. Chem. Phys., 15, 7049-7069, doi:10.5194/acp-15-7049-2015, 2015
  4. Kort, E., Frankenberg, C., Costigan, K., Lindenmaier, R.,Dubey, M., and Wunch, D.: Four corners: the largest US methane anomaly viewed from space, Geophys. Res. Lett., 41, 6898-6903, doi:10.1002/2014GL061503, 2014.
  5. <GOSAT-OCO-2 synergetic CO2 observations>
    Kuze, A., Shiomi, K., Suto, H., Kawakami, S., Kataoka, F., Crisp, D., Schwandner, F., Bruegge, C., Taylor, T.: GOSAT-OCO-2 synergetic CO2 observations over calibration & validation sites and large emission sources, AGU Fall Meeting, 2015.
  6. <GHG Emission Source Observations of Western U.S. using the GOSAT Agile Pointing System>
    Akihiko Kuze, K. Shiomi, H Suto, F. Kataoka, N. Kikuchi, M. Hashimoto, C. Bruegge, F. Schwandner, J. Hedelius, L. Iraci, E. Yates, T, Tanaka, W. Gore, I. Leifer, and D. Crisp.: GHG Emission Source Observations of Western U.S. using the GOSAT Agile Pointing System, AGU Fall Meeting, 2016.
  7. <Methane Flux Estimation from Point Sources using GOSAT Target Observation>
    A. KUZE, H. Suto, K. Shiomi, F. Kataoka, Y. Kondo, A. Butz, and D. Crisp: Methane Flux Estimation from Point Sources using GOSAT Target Observation, AGU Fall Meeting, 2017.
  8. <How the GOSAT program has used airplane observations for its demonstration, calibration, and validation>
    A. Kuze, H. Suto, K. Shiomi, F. Kataoka, N. Kikuchi, M. Hashimoto, L. Iraci, E. Yates, T. Tanaka, W. Gore, R. Knuteson, J. Taylor, C. Harlow, and J. Murray: How the GOSAT program has used airplane observations for its demonstration, calibration, and validation, JpGU-AGU Joint Meeting, 2017.
  9. Kuze,A,,Kikuchi, N. Fumie Kataoka, Suto, H., Shiomi, K., Kondo, Y., Detection of Methane Emission from a Local Source Using GOSAT Target Observations, Remote Sens, 2020, 12 (2), 267; (2020)., doi: 10.3390/rs12020267
  10. A. Kuze, Y. Nakamura, T. Oda, J. Yoshida, N. Kikuchi, F. Kataoka, H. Suto, K. Shiomi, Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities, Remote Sensing of Environment 273, 2022, 112966, https://doi.org/10.1016/j.rse.2022.112966.

Retrieval algorithm

  1. Kikuchi, N., Y. Yoshida, O. Uchino, I. Morino, and T. Yokota.: An advanced retrieval algorithm for greenhouse gases using polarization information measured by GOSAT TANSO-FTS SWIR I: Simulation study, J. Geophys. Res., doi:10.1002/2015JD024720
  2. Shi, C., T. Nakajima, M. Hashimoto.: Simultaneous retrieval of aerosol optical thickness and chlorophyll concentration from multi-wavelength measurement over East China Sea. J. Geophys. Res., doi: 10.1002/2016JD025790
  3. <Simultaneous retrieval from multi-wavelength measurement>
    Chong Shi, T. Nakajima, M. Hashimoto.: Simultaneous retrieval of aerosol optical thickness and chlorophyll concentration from multi-wavelength measurement over East China Sea, AGU Fall Meeting, 2016.
  4. <Discussion of vicarious calibration of GOSAT/TANSO-CAI UV-band (380nm) and retrieved aerosol>
    Makiko Hashimoto, A. Kuze, C. Bruegge, K. Shiomi, F. Kataoka, N. Kikuchi, T. Arai, K. Kasai, T. Nakajima.: Discussion of vicarious calibration of GOSAT/TANSO-CAI UV-band (380nm) and aerosol retrieval in wildfire region in the OCO-2 and GOSAT observation campaign at Railroad Valley in 2016, AGU Fall Meeting, 2016.
  5. <Multi-layer Retrievals of Greenhouse Gases from a Combined Use of GOSAT TANSO-FTS SWIR and TIR>
    N. Kikuchi, A. Kuze, F. Kataoka, K. Shiomi ,M. Hashimoto, H. Suto, R. Knuteson, L. Iraci, E. Yates, W. Gore, T. Tanaka and T. Yokota.: Multi-layer Retrievals of Greenhouse Gases from a Combined Use of GOSAT TANSO-FTS SWIR and TIR, AGU Fall Meeting, 2016.
  6. Hashimoto, M., and Nakajima, T. 2017: Development of a remote sensing algorithm to retrieve atmospheric aerosol properties using multi‐wavelength and multi‐pixel infmation. Journal of Geophysical Research: Atmospheres., doi: 10.1002/2016JD025698.
  7. <Three-dimensional distribution of greenhouse gas concentrations over megacities observed by GOSAT>
    N. Kikuchi, A. Kuze, K. Kataoka, K. Shiomi, M. Hashimoto, H. Suto, R. Knuteson, L. Iraci, E. Yates, W. Gore, and T. Tanaka: Three-dimensional distribution of greenhouse gas concentrations over megacities observed by GOSAT, AGU Fall Meeting, 2017.

Airborne GHGs Observation

  1. <Demonstration of greenhouse-gases flux estimation from space using an air-borne imaging spectrometer>
    Akihiko Kuze, Hiroshi Suto :Demonstration of greenhouse-gases flux estimation from space using an air-borne imaging spectrometer, JpGU-AGU Joint Meeting 2018.
  2. <City-level CO2, CH4, and NO2observations from Space: Airborne model demonstration over Nagoya>
    Akihiko KUZE, Hiroshi Suto, Kei Shiomi, Fumie Kataoka, Takahiro Kawashima, Tomohiro Oda, Tamaki Fujinawa, Yugo Kanaya, Hiroshi Tanimoto :City-level CO2, CH4, and NO2observations from Space: Airborne model demonstration over Nagoya, 2019.
  3. Fujinawa., T., Kuze A., Suto, H., Shiomi, K., Kanaya, Y., Kawashima, T., Kataoka, F., Mori, S., Eskes H., Tanimoto, 2021,. First concurrent observations of NO2 and CO2 from Power Plant Plumes by Airborne Remote Sensing, Res. Lett., 48, e2021GL092685, https://doi.org/10.1029/2021GL092685.
  4. Hiroshi Suto, Akihiko Kuze, Ayako Matsumoto, Tomohiro Oda, Shigetaka Mori, Yohsuke Miyashita, Chiharu Hoshino, Mayumi Shigetoh, Fumie Kataoka, Yasuhiro Tsubakihara, 2024,. The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview,instrument description,and results from the first flight https://doi.org/10.1186/s13021-024-00273-1.

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