气候变化领域集成服务门户(CCPortal): The SMART-s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals

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DOI	10.1029/2019JD032088
	The SMART-s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals
	Jeong U.; Tsay S.-C.; Giles D.M.; Holben B.N.; Swap R.J.; Abuhassan N.; Herman J.R.
发表日期	2020
ISSN	2169897X
卷号	125 期号:7
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 ω0. SMART-s retrieval is unique particularly in its high spectral resolution of the complex index of refraction and ω0 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 ω0). ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	aerosol; optima estimation method; refractive index; size distribution; SMART-s; trace gas
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/186074
作者单位	Earth System Science Interdisciplinary Center, University of Maryland, College ParkMD, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Science Systems and Applications, Inc., Lanham, MD, United States; Joint Center for Earth Systems Technology, University of Maryland, College Park, MD, United States
推荐引用方式 GB/T 7714	Jeong U.,Tsay S.-C.,Giles D.M.,et al. The SMART-s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals[J],2020,125(7).
APA	Jeong U..,Tsay S.-C..,Giles D.M..,Holben B.N..,Swap R.J..,...&Herman J.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 U.,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).