Research On Data Quality Control And Application Of Laser Ceilometer

Laser ceilometer is a simple laser lidar which is assembled and run in domestic eight ground meteorological observation automatic reform planned station. To improve the accuracy and reliability of its observed data and make it into business observation as soon as possible, this paper analyzes the data quality of the laser ceilometer. In order to increases the output of lazer ceilometer date product, it also analyzes the exploration of haze-fog which proves the feasibility of it.(1)Please research on the observation data of laser ceilometer,based on the inspection data of the cloud automation observation by Chinese meteorological center from Decemb er 2011 to May 2012 & from June 2014 to Octber 2014.The results show that the accurac y of the sparse&thin high cloud observation need to be improve.Under the special weath er phenomenon(for example rain or haze-fog),the laser ceilometer will have serious misju dgment.So it is suggested that cloud observation should combine with the special weather, taking quality control of the data of laser ceilometer.It is still suspicious or lack of measur ement.(2)Focuses on the process of the haze-fog observation by laser ceilometer.It mainly a nalyze two haze-fog processes in north Suburb of Nanjing Jan.2013. The results show that the occurrence of haze-fog is strongly influenced by meteorological elements, static, small wind is benefit to the emergence of the haze, while higher relative humidity which has great influence on visibility often leads to coexist of haze and fog. Through analyzing alternating-fog-and-haze events, the results indicate that fog which often occurs in low altitude has stronger backscattering, large vertical rate of change, while haze often has weaker backscattering, smaller vertical rate of change and larger span in vertical direction; The variation of backscattering coefficient in the fog and haze were analyzed, both horizontal visibility and vertical visibility were obtained from data of ceilometer. The horizontal visibility was consistent with visibility from visibility sensor, and the variation of vertical visibility had opposite trends with relative humidity while has the same trends with wind speed. By analyzing variation of backscattering coefficient with time, the Fourier transform power spectral distribution was obtained, this distribution was corresponding with the border characteristics of fog and haze.(3) According to observational data of Micro Pulse Lidar and the laser ceilometer in China Meteorological Administration, we researched the hazy weather through the laser ceilometer with different wavelengths and analyzed the optical property and the hygroscopic property of the fog aerosol. The data indicated that along with the growth of aerosol particles’ moisture absorption, longer wavelength is more sensitive to large particles; the growth rate of aerosol particles’ moisture absorption is not linear, because it is affected by relative humidity, the bigger the relative humidity, its moisture absorption is faster; With the continuous growth of particle, the wavelength index is being reduced, and the bigger relative humidity, the faster decrease of the wavelength index. Aerosol extinction coefficient, hygroscopic growth factor and the wavelength index changing with the relative humidity, are consistent with the objective law and the relevant research results.