scholarly journals Generalized Model of Atmospheric Aerosol for Optimal Processing of Remote In-process Control Colorimeter Signals

10.12737/4935 ◽  
2014 ◽  
Vol 3 (3) ◽  
pp. 9-13
Author(s):  
Ибрагимов ◽  
E. Ibragimov ◽  
Алиева ◽  
G. Alieva ◽  
Агаев ◽  
...  

The paper briefly surveys regime functions of colorimetric systems and their realization featured by necessity to calculate the correlation between color channels’ signals. It suggests a generalized model of optical depth of atmospheric aerosol, which could be used to form the target functional for optimization of correlation calculator of color signals. The optimum regime of carrying out correlation calculations based upon the atmospheric factors is synthesizedas a result of optimization of the considered model of colorimeter.

2000 ◽  
Vol 45 (14) ◽  
pp. 1328-1334 ◽  
Author(s):  
Yunfeng Luo ◽  
Daren Lü ◽  
Qing He ◽  
Weiliang Li ◽  
Xiuji Zhou

2012 ◽  
Vol 12 (12) ◽  
pp. 33265-33289
Author(s):  
A. V. Lindfors ◽  
N. Kouremeti ◽  
A. Arola ◽  
S. Kazadzis ◽  
A. F. Bais ◽  
...  

Abstract. Pyranometer measurements of the solar surface radiation (SSR) are available at many locations worldwide, often as long time series covering several decades into the past. These data constitute a potential source of information on the atmospheric aerosol load. Here, we present a method for estimating the aerosol optical depth (AOD) using pyranometer measurements of the SSR together with total water vapor column information. The method, which is based on radiative transfer simulations, was developed and tested using recent data from Thessaloniki, Greece. The effective AOD calculated using this method was found to agree well with co-located AERONET measurements, exhibiting a correlation coefficient of 0.9 with 2/3 of the data found within ±20% or ±0.05 of the AERONET AOD. This is similar to the performance of current satellite aerosol methods. Differences in the AOD as compared to AERONET can be explained by variations in the aerosol properties of the atmosphere that are not accounted for in the idealized settings used in the radiative transfer simulations, such as variations in the single scattering albedo and Ångström exponent. Furthermore, the method is sensitive to calibration offsets between the radiative transfer simulations and the pyranometer SSR. The method provides an opportunity of extending our knowledge of the atmospheric aerosol load to locations and times not covered by dedicated aerosol measurements.


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