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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.; ... mehr


TanSat is the 1st Chinese carbon dioxide (CO$_{2}$) measurement satellite, launched in 2016. In this study, the University of Leicester Full Physics (UoL-FP) algorithm is implemented for TanSat nadir mode XCO$_{2}$ 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 O$_{2}$ A band retrieval. Accordingly, we extend the previous TanSat single CO$_{2}$ weak band retrieval to a combined O$_{2}$ A and CO$_{2}$ 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 XCO$_{2}$ retrieval error. Twenty sites of the Total Column Carbon Observing Network (TCCON) have been selected to validate our new approach for the TanSat XCO$_{2}$ retrieval. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000126516
Veröffentlicht am 28.11.2021
DOI: 10.1029/2020JD032794
Zitationen: 33
Zitationen: 25
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Institut für Meteorologie und Klimaforschung (IMK)
Universität Karlsruhe (TH) – Interfakultative Einrichtungen (Interfakultative Einrichtungen)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 27.11.2020
Sprache Englisch
Identifikator ISSN: 2169-897X, 2169-8996
KITopen-ID: 1000126516
HGF-Programm 12.03.01 (POF III, LK 01) Long term observations of tropospheric
Erschienen in Journal of geophysical research / D
Verlag John Wiley and Sons
Band 125
Heft 22
Seiten Art.: e2020JD032794
Vorab online veröffentlicht am 05.10.2020
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