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Toward High Precision XCO2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements.
Yang, D; Boesch, H; Liu, Y; Somkuti, P; Cai, Z; Chen, X; Di Noia, A; Lin, C; Lu, N; Lyu, D; Parker, R J; Tian, L; Wang, M; Webb, A; Yao, L; Yin, Z; Zheng, Y; Deutscher, N M; Griffith, D W T; Hase, F; Kivi, R; Morino, I; Notholt, J; Ohyama, H; Pollard, D F; Shiomi, K; Sussmann, R; Té, Y; Velazco, V A; Warneke, T; Wunch, D.
Afiliación
  • Yang D; Earth Observation Science, School of Physics and Astronomy University of Leicester UK.
  • Boesch H; Institute of Atmospheric Physics Chinese Academy of Sciences China.
  • Liu Y; Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai China.
  • Somkuti P; Earth Observation Science, School of Physics and Astronomy University of Leicester UK.
  • Cai Z; National Centre for Earth Observation University of Leicester UK.
  • Chen X; Institute of Atmospheric Physics Chinese Academy of Sciences China.
  • Di Noia A; Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai China.
  • Lin C; Earth Observation Science, School of Physics and Astronomy University of Leicester UK.
  • Lu N; National Centre for Earth Observation University of Leicester UK.
  • Lyu D; Colorado State University Fort Collins CO USA.
  • Parker RJ; Institute of Atmospheric Physics Chinese Academy of Sciences China.
  • Tian L; Institute of Atmospheric Physics Chinese Academy of Sciences China.
  • Wang M; Earth Observation Science, School of Physics and Astronomy University of Leicester UK.
  • Webb A; National Centre for Earth Observation University of Leicester UK.
  • Yao L; Changchun Institute of Optics, Fine Mechanics and Physics China.
  • Yin Z; National Satellite Meteorological Center, China Meteorological Administration China.
  • Zheng Y; Institute of Atmospheric Physics Chinese Academy of Sciences China.
  • Deutscher NM; Earth Observation Science, School of Physics and Astronomy University of Leicester UK.
  • Griffith DWT; National Centre for Earth Observation University of Leicester UK.
  • Hase F; Shanghai Engineering Center for Microsatellites China.
  • Kivi R; Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai China.
  • Morino I; Earth Observation Science, School of Physics and Astronomy University of Leicester UK.
  • Notholt J; National Centre for Earth Observation University of Leicester UK.
  • Ohyama H; Institute of Atmospheric Physics Chinese Academy of Sciences China.
  • Pollard DF; Shanghai Engineering Center for Microsatellites China.
  • Shiomi K; Changchun Institute of Optics, Fine Mechanics and Physics China.
  • Sussmann R; Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences University of Wollongong NSW Australia.
  • Té Y; Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences University of Wollongong NSW Australia.
  • Velazco VA; Karlsruhe Institute of Technology, IMK-IFU Garmisch-Partenkirchen Germany.
  • Warneke T; Space and Earth Observation Centre Finnish Meteorological Institute Finland.
  • Wunch D; National Institute for Environmental Studies (NIES) Tsukuba Ibaraki Japan.
J Geophys Res Atmos ; 125(22): e2020JD032794, 2020 Nov 27.
Article en En | MEDLINE | ID: mdl-33777605
TanSat is the 1st Chinese carbon dioxide (CO2) measurement satellite, launched in 2016. In this study, the University of Leicester Full Physics (UoL-FP) algorithm is implemented for TanSat nadir mode XCO2 retrievals. We develop a spectrum correction method to reduce the retrieval errors by the online fitting of an 8th order Fourier series. The spectrum-correction model and its a priori parameters are developed by analyzing the solar calibration measurement. This correction provides a significant improvement to the O2 A band retrieval. Accordingly, we extend the previous TanSat single CO2 weak band retrieval to a combined O2 A and CO2 weak band retrieval. A Genetic Algorithm (GA) has been applied to determine the threshold values of post-screening filters. In total, 18.3% of the retrieved data is identified as high quality compared to the original measurements. The same quality control parameters have been used in a footprint independent multiple linear regression bias correction due to the strong correlation with the XCO2 retrieval error. Twenty sites of the Total Column Carbon Observing Network (TCCON) have been selected to validate our new approach for the TanSat XCO2 retrieval. We show that our new approach produces a significant improvement on the XCO2 retrieval accuracy and precision when compared to TCCON with an average bias and RMSE of -0.08 ppm and 1.47 ppm, respectively. The methods used in this study can help to improve the XCO2 retrieval from TanSat and subsequently the Level-2 data production, and hence will be applied in the TanSat operational XCO2 processing.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Geophys Res Atmos Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Geophys Res Atmos Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos