|
|
|
|
|
|
Analysis of Sensitivity of the Parameters on Carbon Dioxide Retrieval Using High-Resolution Solar Absorption Spectra |
SHAN Chang-gong1, LIU Cheng2*, WANG Wei3, SUN You-wen3, LIU Wen-qing3, TIAN Yuan3, YANG Wei3 |
1. School of Environment Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230031, China
2. School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230031, China
3. Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China |
|
|
Abstract Solar absorption spectra collected with a high-resolution Fourier transform spectrometer is able to measure the column abundance of CO2 accurately. In the paper, the influence of a model parameters in the forward model on the retrieval of CO2 is analyzed, also the impact of a model parameters on retrieval results under different solar zenith angle and the reasons are discussed. Four model parameters, such as continuum tilt value, internal field of view, zero-level offset and Doppler shift are modified in the forward model and how the results change with the disturbance is studied, based on the spectra collected in two typical days. The results show that, the relative deviations of column-averaged dry air mole fraction of CO2(XCO2) caused by the disturbance of different a model parameters are different. Also, the relative deviations due to the disturbance of the same parameters corresponding to different time for collecting spectra are different. Continuum tilt value has the biggest influence on the retrieval, and the change of this value resulted in the relative deviations of XCO2 between 0.1%~0.2%. The changes of other three parameters internal field of view, zero-level offset and Doppler shift have small impact on the retrieval, which leads to the relative deviations of XCO2 in the range of -0.045%~-0.02%, -0.045%~0.015% and -0.03%~0.04%, respectively. Finally, the reasons of the deviations are explained based on the average kernels of CO2. The results provide a basis for how to set the parameters in the retrieval algorithms and improve the measurement accuracy of atmospheric CO2.
|
Received: 2016-08-20
Accepted: 2016-12-30
|
|
Corresponding Authors:
LIU Cheng
E-mail: chliu81@ustc.edu.cn
|
|
[1] Ohyama H, Kawakami S, Tanaka T, et al. Atmospheric Measurement Techniques, 2015, 8(12): 5263.
[2] Basu S, Guerlet S, Butz A, et al. Atmospheric Chemistry and Physics, 2013, 13(17): 8695.
[3] Wunch D, Toon G C, Wennberg P O, et al. Atmospheric Measurement Techniques,2010; 3(5): 1351.
[4] Li J, Li C, Mao J, et al. Science Bulletin, 2014, 59(14): 1536.
[5] Wunch D, Toon G C, Sherlock V, et al. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA, available at: doi, 2015, 10.
[6] Wunch D, Toon G C, Blavier J F, et al. Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences,2011,369(1943): 2087.
[7] Hase F, Drouin B J, Roehl C M, et al. Atmospheric Measurement Techniques, 2013, 6(12): 3527.
[8] Gisi M, Hase F, Dohe S, et al. Atmospheric Measurement Techniques, 2010, 3(6): 47.
[9] Kivi R, Heikkinen P. Geoscientific Instrumentation, Methods and Data Systems, 2016, 5(2): 271.
[10] Washenfelder R A, Toon G C, Blavier J F, et al. Journal of Geophysical Research Atmospheres, 2006, 111(D22): 5295.
[11] Connor B J, Sherlock V, Toon G, et al. Atmospheric Measurement Techniques Discussions, 2015, 8(11): 12263. |
[1] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[2] |
LIANG Shou-zhen1, SUI Xue-yan1, WANG Meng1, WANG Fei1, HAN Dong-rui1, WANG Guo-liang1, LI Hong-zhong2, MA Wan-dong3. The Influence of Anthocyanin on Plant Optical Properties and Remote Sensing Estimation at the Scale of Leaf[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 275-282. |
[3] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
[4] |
TIAN Ze-qi1, WANG Zhi-yong1, YAO Jian-guo1, GUO Xu1, LI Hong-dou1, GUO Wen-mu1, SHI Zhi-xiang2, ZHAO Cun-liang1, LIU Bang-jun1*. Quantitative FTIR Characterization of Chemical Structures of Highly Metamorphic Coals in a Magma Contact Zone[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2747-2754. |
[5] |
ZHANG Xiao-xu1, LIN Xiao-xian3, ZHANG Dan2, ZHANG Qi1, YIN Xue-feng2, YIN Jia-lu3, 4, ZHANG Wei-yue4, LI Yi-xuan1, WANG Dong-liang3, 4*, SUN Ya-nan1*. Study on the Analysis of the Relationship Between Functional Factors and Intestinal Flora in Freshly Stewed Bird's Nest Based on Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2452-2457. |
[6] |
WANG Yu-hao1, 2, LIU Jian-guo1, 2, XU Liang2*, DENG Ya-song2, SHEN Xian-chun2, SUN Yong-feng2, XU Han-yang2. Application of Principal Component Analysis in Processing of Time-Resolved Infrared Spectra of Greenhouse Gases[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2313-2318. |
[7] |
SU Ling1, 2, BU Ya-ping1, 2, LI Yuan-yuan2, WANG Qi1, 2*. Study on the Prediction Method of Pleurotus Ostreatus Protein and
Polysaccharide Content Based on Fourier Transform Infrared
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1262-1267. |
[8] |
ZHOU Ao1, 2, YUE Zheng-bo1, 2, LIU A-zuan1, 2, GAO Yi-jun3, WANG Shao-ping3, CHUAI Xin3, DENG Rui1, WANG Jin1, 2*. Spectral Analysis of Extracellular Polymers During Iron Dissimilar
Reduction by Salt-Tolerant Shewanella Aquimarina[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1320-1328. |
[9] |
FENG Yu, ZHANG Yun-hong*. Rapid ATR-FTIR Principal Component Analysis of Commercial Milk[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 838-841. |
[10] |
YUE Kong, LU Dong, SONG Xue-song. Influence of Thermal Modification on Poplar Strength Class by Fourier Infrared Spectroscopy Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 848-853. |
[11] |
ZHANG Yan1, 2, WANG Hui-le1, LIU Zhong2, ZHAO Hui-fang1, YU Ying-ying1, LI Jing1, TONG Xin1. Spectral Analysis of Liquefaction Residue From Corn Stalk Polyhydric
Alcohols Liquefaction at Ambient Pressure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 911-916. |
[12] |
QIAO Lu1, LIU Rui-na1, ZHANG Rui1, ZHAO Bo-yu1, HAN Pan-pan1, 2, ZHOU Chun-ya1, 3, ZHANG Yu-qing1, 4, DONG Cheng-ming1*. Analysis of Spectral Characteristics of Soil Under Different Continuous Cropping of Rehmannia Glutinosa Based on Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 541-548. |
[13] |
CHEN Yong1, 2, GUO Yun-zhu1, WANG Wei3*, WU Xiao-hong1, 2*, JIA Hong-wen4, WU Bin4. Clustering Analysis of FTIR Spectra Using Fuzzy K-Harmonic-Kohonen Clustering Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 268-272. |
[14] |
HU Yun-you1, 2, XU Liang1*, XU Han-yang1, SHEN Xian-chun1, SUN Yong-feng1, XU Huan-yao1, 2, DENG Ya-song1, 2, LIU Jian-guo1, LIU Wen-qing1. Adaptive Matched Filter Detection for Leakage Gas Based on Multi-Frame Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3307-3313. |
[15] |
JING Jian-yuan, YUAN Liang, ZHANG Shui-qin, LI Yan-ting, ZHAO Bing-qiang*. Multispectral Structural Characterization of Humic Acid-Enhanced Urea[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2610-2615. |
|
|
|
|