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Proceedings Paper

A simple estimation model of aerosol optical thickness based on meteorological station observed atmospheric visibility
Author(s): Zhu Li; Jianyu Chen; Shaoqi Gong; Zhihua Mao; Zengzhou Hao
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Paper Abstract

Aerosol optical thickness (AOT) and atmospheric visibility are two important weather parameters. AOT reflects the state of the atmosphere,-and atmospheric visibility is widely used in various aspects of social life. Generally, it is reported in literatures that both of them are affected by Air Pollutants and other meteorological factors, such as surface pressure, ground temperature, wind speed, precipitation. In this paper, a statistic relationship expression is established between AOT and atmospheric visibility on the basis of the point-to-point meteorological observations. In the national region, the correlation between atmospheric visibility and weather factors indicates that the surface pressure has great influence on atmospheric visibility all the year round. And the influence based on precipitation is more obvious in spring and summer, mean-while wind speed and temperature play important roles in autumn and winter. A significant positive correlation was found between AOT and API. To express the relationship between atmospheric visibility and AOT, some computable models were utilized. According to the accuracy analysis, the cubic curve model and the power function model are more accurate. And both RMSE (root-mean-square error) of them is higher than 0.47. But the coefficient of cubic curve is more complex in practice. Finally, a simple estimation model of aerosol optical thickness based on meteorological station observed atmospheric visibility was conducted using power function. The Pearson coefficient between calculation of power function and observation is 0.73.

Paper Details

Date Published: 24 September 2013
PDF: 8 pages
Proc. SPIE 8869, Remote Sensing and Modeling of Ecosystems for Sustainability X, 88690S (24 September 2013); doi: 10.1117/12.2023228
Show Author Affiliations
Zhu Li, The Second Institute of Oceanography, SOA (China)
Jianyu Chen, The Second Institute of Oceanography, SOA (China)
Shaoqi Gong, Nanjing Univ. of Information Science & Technology (China)
Zhihua Mao, The Second Institute of Oceanography, SOA (China)
Zengzhou Hao, The Second Institute of Oceanography, SOA (China)


Published in SPIE Proceedings Vol. 8869:
Remote Sensing and Modeling of Ecosystems for Sustainability X
Wei Gao; Thomas J. Jackson; Jinnian Wang; Ni-Bin Chang, Editor(s)

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