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Nonlinear-approximation technique for determining vertical ozone-concentration profiles with a

V A Kovalev, M P Bristow, J L McElroy

|November 25, 2010

Summary

This study introduces a novel differential-absorption lidar (DIAL) technique to accurately retrieve ozone-concentration profiles. The method significantly reduces errors from signal noise and aerosol variations, improving atmospheric ozone measurements.

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Area of Science:

Atmospheric Science
Remote Sensing
Spectroscopy

Background:

Accurate ozone-concentration profiles are crucial for atmospheric research and climate modeling.
Traditional lidar techniques can be susceptible to noise and aerosol-induced errors.
Improving the precision of ozone measurements is essential for understanding atmospheric dynamics.

Purpose of the Study:

To develop and validate a new technique for retrieving ozone-concentration profiles using multiwavelength differential-absorption lidar (DIAL).
To reduce erroneous fluctuations in ozone profiles caused by signal noise and aerosol inhomogeneity.
To establish uncertainty boundaries for derived ozone profiles.

Main Methods:

Utilized a multiwavelength differential-absorption lidar (DIAL) system.
Developed a novel signal processing technique involving transformation of the off- to on-line signal ratio into an intermediate function.
Applied analytical approximations, including low-order polynomial fits for low-frequency constituents and trigonometric fits for high-frequency constituents, to separate profile components.
Estimated dominant measurement errors and established uncertainty boundaries before profile derivation.

Main Results:

The new DIAL technique effectively reduces erroneous local fluctuations in ozone-concentration profiles.
Significant reduction in noise and aerosol inhomogeneity-induced errors was observed compared to conventional numerical differentiation methods.
The trigonometric fit component of the technique successfully corrected profiles in areas with large ozone-concentration gradients.
Experimental data from the lower troposphere demonstrated the technique's efficacy.

Conclusions:

The presented DIAL technique offers a significant improvement in the accuracy of ozone-concentration profile retrieval.
The method provides more reliable atmospheric ozone data by mitigating common measurement errors.
This advancement has implications for atmospheric monitoring, climate research, and air quality studies.