Calibration and Error Analysis of Laser Radar Signals for Stratospheric Aerosol Measurements

Abstract

The calibration of laser radar signals required for determining the backscattering coefficents of stratospheric aerosol has been performed by matching the range corrected signals to the Rayleigh backscattering coefficients at the upper stratosphere. But, little attention has been paid to the accuracies of calibrated signals in spite of the many error factors in the measurement and the data analysis.
This paper proposes a new method for matching the measured and simulated signals statistically by the use of the laser radar equation with a systematic error component. The regression analysis is applicable in this method, and the standard deviation of residuals can be estimated in addition to the linear calibration. The standard deviation can be utilized to compare the various processing of laser radar signals, such as the selection of training range of the matching method.