激光云高仪云量自动反演算法

Automatic Inversion Algorithm of Cloud Cover of Laser Ceilometer

云是气象预测和航空航海等领域中非常重要的因素之一,所以对云进行观测具有重要的现实意义。而云量作为其中重要的气象参数之一,已成为气象观测的重要内容。目前,对于云量的观测主要还是靠目测,由于各种因素的影响导致误差较大。测量云量是激光云高仪的一个重要应用。提出了一种激光云高仪云量自动反演算法,算法以激光云高仪单点测量数据为基础构造一个关于时间和云层高度的二维图像,按照云层所占用的时间比率进行反演计算云量。对比实验验证表明,算法能较为准确地反演出云量信息,对激光云高仪具有实用价值。

Cloud is one of the important factors in the field of meteorology forecasting and navigation and so on. Therefore, it is important to measure cloud. As one of the important meteorological parameters, the cloud cover has become an important part of meteorological observations. So far, the measurement of cloud cover mainly relies on visual observation, which leads to large deviations because of various factors. Measuring the cloud cover is an important application of laser ceilometer. An automatic inversion algorithm of cloud cover of laser ceilometer is proposed in this paper. The purpose of the algorithm is to construct a two-dimensional image of time and cloud height based on the ceilometer measurements only from a single point. The cloud cover is calculated according to the ratio of time occupied by clouds. The comparative experiments show that the algorithm can more accurately calculate the cloud cover information, and it is of great practical value for taser ceitometer.