气候变化领域集成服务门户(CCPortal): Toward High Precision XCO2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements

CCPortal

DOI	10.1029/2020JD032794
	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.
发表日期	2020
ISSN	2169897X
卷号	125 期号:22
英文摘要	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. ©2020. The Authors.
英文关键词	CO2; retrieval algorithm; satellite; TanSat
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185641
作者单位	Earth Observation Science, School of Physics and Astronomy, University of Leicester, United Kingdom; Institute of Atmospheric Physics, Chinese Academy of Sciences, China; Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China; National Centre for Earth Observation, University of Leicester, United Kingdom; Colorado State University, Fort Collins, CO, United States; Changchun Institute of Optics, Fine Mechanics and Physics, China; National Satellite Meteorological Center, China Meteorological Administration, China; Shanghai Engineering Center for Microsatellites, China; Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of WollongongNSW, Australia; Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany; Space and Earth Observation Centre, Finnish Meteorological Institute, Finland; National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki, Japan; Institute of Environmental Physics (IUP), University of Breme...
推荐引用方式 GB/T 7714	Yang D.,Boesch H.,Liu Y.,et al. Toward High Precision XCO2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements[J],2020,125(22).
APA	Yang D..,Boesch H..,Liu Y..,Somkuti P..,Cai Z..,...&Wunch D..(2020).Toward High Precision XCO2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements.Journal of Geophysical Research: Atmospheres,125(22).
MLA	Yang D.,et al."Toward High Precision XCO2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements".Journal of Geophysical Research: Atmospheres 125.22(2020).