Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD032088 |
The SMART-s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals | |
Jeong, Ukkyo1,2; Tsay, Si-Chee2; Giles, David M.2,3; Holben, Brent N.2; Swap, Robert J.2; Abuhassan, Nader2,4; Herman, Jay R.2,4 | |
2020-04-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2020 |
卷号 | 125期号:7 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The SMART-s (Spectral Measurements for Atmospheric Radiative Transfer-spectroradiometer) acquires Sun/sky observations for retrieving optimal information on trace gases and aerosols with minimal assumptions. Overall, the algorithm of SMART-s incorporates a series of retrievals, from fundamental quantities (i.e., column abundance of trace gases and aerosol loading) to higher-order geophysical parameters (e.g., aerosol physicochemical properties and vertical profiles), utilizing Sun/sky spectral radiance measurements. This paper describes the theoretical basis for column retrievals of trace gases and aerosols. Associated profile retrievals will be presented in follow-up papers. The current algorithm retrieves the fine/coarse mode of the particle size distribution and spectral complex index of refraction and, thereby, the spectral aerosol single-scattering albedo omega(0). SMART-s retrieval is unique particularly in its high spectral resolution of the complex index of refraction and omega(0) from near-ultraviolet to near-infrared wavelengths, which is pivotal information for atmospheric chemistry, climate and other inversions. We theoretically assessed information content and retrieval accuracy of the algorithm and compared different type of measurements including the Aerosol Robotic Network (AERONET) and standard Pandora. For the same levels of radiometric accuracy, SMART-s measurements provide the most informative aerosol retrievals based on theoretical error analyses. Higher spectral resolution measurements are particularly beneficial for particle size distribution and fine-mode refractive index retrievals. We applied this algorithm to the AERONET Sun/sky measurements at Kanpur, India, in 2016 to assess algorithm consistency. Even with different assumptions and numerical methods for the inversion, SMART-s retrieved aerosol parameters agreed well with the AERONET operational products (e.g., absolute mean bias errors less than 0.01 for omega(0)). |
英文关键词 | SMART-s aerosol refractive index size distribution trace gas optima estimation method |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000526643500010 |
WOS关键词 | LONG-RANGE TRANSPORT ; SINGLE-SCATTERING ALBEDO ; OZONE MONITORING EXPERIMENT ; COMPLEX REFRACTIVE-INDEXES ; OPTICAL-PROPERTIES ; INFORMATION-CONTENT ; RADIATIVE-TRANSFER ; MAX-DOAS ; SIZE DISTRIBUTION ; ORGANIC-CARBON |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/280180 |
专题 | 气候变化 |
作者单位 | 1.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA; 2.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 3.Sci Syst & Applicat Inc, Lanham, MD USA; 4.Univ Maryland, Joint Ctr Earth Syst Technol, College Pk, MD 20742 USA |
推荐引用方式 GB/T 7714 | Jeong, Ukkyo,Tsay, Si-Chee,Giles, David M.,et al. The SMART-s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2020,125(7). |
APA | Jeong, Ukkyo.,Tsay, Si-Chee.,Giles, David M..,Holben, Brent N..,Swap, Robert J..,...&Herman, Jay R..(2020).The SMART-s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,125(7). |
MLA | Jeong, Ukkyo,et al."The SMART-s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 125.7(2020). |
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