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A system for collecting data of Side-Scatter lidar based on Charge Coupled Device (CCD),is designed and implemented. The system of data acquisition is based on Microsoft. Net structure and the language of C# is used to call dynamic link library (DLL) of CCD for realization of the real-time data acquisition and processing. The software stores data as txt file for post data acquisition and analysis. The system has ability to operate CCD device in all-day, automatic, continuous and high frequency data acquisition and processing conditions, which will catch 24-hour information of the atmospheric scatter’s light intensity and retrieve the spatial and temporal properties of aerosol particles. The experimental result shows that the system is convenient to observe the aerosol optical characteristics near surface.

Because of the existence of blind zone and transition zone, the application of backscattering lidar in near-ground is limited. The side-scatter lidar equipped with the Charge Coupled Devices (CCD) can separate the transmitting and receiving devices to avoid the impact of the geometric factors which is exited in the backscattering lidar and, detect the more precise near-ground aerosol signals continuously. Theories of CCD side-scatter lidar and the design of control system are introduced. The visible control of laser and CCD and automatic data processing method of the side-scatter lidar are developed by using the software of Visual C #. The results which are compared with the calibration of the atmospheric aerosol lidar data show that signals from the CCD side- scatter lidar are convincible.

Aerosol and water vapor are two important atmospheric parameters. The accurate quantification of diurnal variation of these parameters are very useful for environment assessment and climate change studies. A moveable, compact and unattended lidar system based on modular design is developed for aerosol extinction coefficients and water vapor mixing ratios measurements. In the southern suburbs of Beijing, the continuous observation was carried out by this lidar since the middle of the year of 2017. The lidar equipment is presented and the case study is also described in this paper. The observational results show that the lidar kept a very good status from the long-time continuous measurements which is suitable for networking especially in meteorological research field.

A new method for atmospheric remote sensing from the ground is described. The nonlinear deconvolution method and the reference effective instrument function are used to increase the spectral resolution. The nonlinear least-squares method is used to retrieve the atmospheric parameter profile. This method can increase the measurable altitude of remote sensing and improve the precision of atmospheric inversion.

The effect of atmospheric turbulence on the imaging of a pattern similar to an eye chart composed of LED array, for horizontal propagation of the light over a distance of 1000m, was analyzed at visible wavelenghts using a 355.6 mm telescope. Point Spread Function (PSF) and the images were recorded simlutaneously during the night. The Fried's parameter r0 was derived from the measured variance of image motion, leading to r0 values ranging from 5 to 30 cm depending on observing conditions. Very strong image motion and severely degraded images were observed. The relationship between the image resolution and the Fried's parameter is visually shown.© (2005) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

This paper introduces a new vertical coordinate, deduces the expressions of weighting function, and discusses the ability in measuring the middle atmosphere composition from high-resolution solar spectra. The results show that useful information on the constituents in the lower stratosphere can be given using modern conventional infrared spectrometers. However, for the measurements in the upper stratosphere and in the mesosphere, higher spectral resolutions are required.