[go: up one dir, main page]

CN102830107B - Laser radar detection method and system for measuring contents of solid water and liquid water in cloud - Google Patents

Laser radar detection method and system for measuring contents of solid water and liquid water in cloud Download PDF

Info

Publication number
CN102830107B
CN102830107B CN201210322203.3A CN201210322203A CN102830107B CN 102830107 B CN102830107 B CN 102830107B CN 201210322203 A CN201210322203 A CN 201210322203A CN 102830107 B CN102830107 B CN 102830107B
Authority
CN
China
Prior art keywords
water
solid
cloud
raman
ice
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201210322203.3A
Other languages
Chinese (zh)
Other versions
CN102830107A (en
Inventor
卜令兵
黄兴友
庄一洲
邵楠清
田力
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Information Science and Technology
Original Assignee
Nanjing University of Information Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing University of Information Science and Technology filed Critical Nanjing University of Information Science and Technology
Priority to CN201210322203.3A priority Critical patent/CN102830107B/en
Publication of CN102830107A publication Critical patent/CN102830107A/en
Application granted granted Critical
Publication of CN102830107B publication Critical patent/CN102830107B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)

Abstract

本发明设计了测量云中固、液态水含量的激光雷达探测方法与系统。本发明利用水的固、液态拉曼散射频移的不同,使用SureliteⅡ-20激光器作为激光发射源,产生355nm波长的激光辐射,通过光学接收部分的4个探测通道:其中,两个水探测通道,使用窄带滤光片分别探测固、液两种相态水的特征拉曼回波信号,弹性散射通道用来探测气溶胶或云的光学特性,氮气拉曼通道则用来探测氮气的拉曼散射光,用于归一化水的拉曼散射信号,实现对云中水的相态进行探测。最后,通过水的固、液态拉曼散射原理反演出云中水的固、液态含量。

The invention designs a laser radar detection method and system for measuring the solid and liquid water content in the cloud. The present invention utilizes the difference between the solid and liquid Raman scattering frequency shifts of water, uses the Surelite II-20 laser as the laser emission source to generate laser radiation with a wavelength of 355nm, and passes through the four detection channels of the optical receiving part: among them, two water detection channels , using narrow-band filters to detect the characteristic Raman echo signals of solid and liquid phases of water, the elastic scattering channel is used to detect the optical properties of aerosols or clouds, and the nitrogen Raman channel is used to detect the Raman of nitrogen Scattered light is used to normalize the Raman scattering signal of water to detect the phase state of water in clouds. Finally, the solid and liquid content of water in the cloud is inverted by the solid and liquid Raman scattering principle of water.

Description

测量云中固、液态水含量的激光雷达探测方法与系统Lidar detection method and system for measuring solid and liquid water content in clouds

技术领域:Technical field:

本发明设计了一种测量云中固、液态水含量的激光雷达探测方法与系统。本发明利用水的固、液态拉曼散射频移的不同,通过窄带滤光片及水的不同相态反演技术,获得云中固、液态水的含量。本发明使用SureliteⅡ-20激光器作为激光发射源,产生355nm波长的激光辐射,通过光学接收部分的4个探测通道:其中,两个水探测通道,使用窄带滤光片分别探测固、液两种相态水的特征拉曼回波信号,弹性散射通道用来探测气溶胶或云的光学特性,氮气拉曼通道则用来探测氮气的拉曼散射光,用于归一化水的拉曼散射信号;实现对云中水的相态进行探测。最后,通过水的固、液态拉曼散射原理反演出云中水的固、液态含量。 The invention designs a laser radar detection method and system for measuring the solid and liquid water content in the cloud. The present invention utilizes the difference in Raman scattering frequency shift between solid and liquid water, and obtains the contents of solid and liquid water in clouds through narrow-band optical filters and different phase state inversion techniques of water. The present invention uses a Surelite II-20 laser as a laser emission source to generate laser radiation with a wavelength of 355nm, which passes through four detection channels of the optical receiving part: among them, two water detection channels use narrow-band filters to detect two phases of solid and liquid respectively The characteristic Raman echo signal of state water, the elastic scattering channel is used to detect the optical characteristics of aerosol or cloud, the nitrogen Raman channel is used to detect the Raman scattered light of nitrogen, and is used to normalize the Raman scattering signal of water ; To detect the phase state of water in the cloud. Finally, the solid and liquid content of water in the cloud is inverted by the solid and liquid Raman scattering principle of water.

背景技术:Background technique:

云的形成和演变,是大气中运动过程的具体表现,是预示着未来天气变化的重要征兆,借助云的观测,对正确判断大气运动状况,特别是对短期临近天气预报有重要意义。人工影响天气方面,只有全面掌握云的参数信息才能更为有效的进行人工影响天气活动。气候研究方面,云具有辐射强迫作用,影响地球系统的收支平衡,进而影响气候变化。研究表明,云辐射导致的全球温度变化比二氧化碳的影响大3倍还要多。在模式研究方面,云的物理特性及过程也是一个重要的话题,云信息的正确参数化对全球模式及区域天气预报模式十分重要。云的参数可以从地面观测也可以天基形式观测, 因此,云参数信息如云高、云厚、云的微物理特征,是检验数值天气预报和天气模型的重要依据。 The formation and evolution of clouds is a concrete manifestation of the movement process in the atmosphere and an important sign that indicates future weather changes. With the help of cloud observation, it is of great significance to correctly judge the movement of the atmosphere, especially for short-term nowcasting. In terms of artificial weather modification, only by fully grasping the parameter information of clouds can artificial weather modification activities be carried out more effectively. In terms of climate research, clouds have a radiative forcing effect, which affects the balance of payments of the Earth system, thereby affecting climate change. Studies have shown that global temperature changes caused by cloud radiation are more than three times greater than the effect of carbon dioxide. In terms of model research, the physical characteristics and processes of clouds are also an important topic, and the correct parameterization of cloud information is very important for global models and regional weather forecast models. Cloud parameters can be observed from the ground or space-based. Therefore, cloud parameter information, such as cloud height, cloud thickness, and cloud microphysical characteristics, is an important basis for testing numerical weather prediction and weather models.

对云的探测,除对云高、云厚、云状等宏观物理特性探测外,目前急需解决的是云内部微物理结构信息的探测问题,如云中水的相态、水的含量、水的粒径谱分布等。云中水的相态信息是云的一个重要的描述参数。云中冰晶或者是水滴是云中的主要物质,云对大气辐射传输的影响主要是由于冰晶或者水滴的散射和吸收造成。根据粒子散射理论,不同大小和含量的冰晶或者水滴的散射特性不同,其造成的辐射效应也不同,而云中的冰晶和水滴的大小和含量又随大气环境和云的种类而发生变化,因此,云中水的含量和粒径大小对研究云的辐射效应十分重要。若已知云中的含水量,假设云中水的粒径分布满足某一关系,则云中水的粒径谱分布与水含量之间可以由简单的数学关系获得,因此,研究云中水的含量问题变得至关重要。 For the detection of clouds, in addition to the detection of macroscopic physical characteristics such as cloud height, cloud thickness, and cloud shape, what needs to be solved urgently is the detection of microphysical structure information inside clouds, such as the phase state of water in clouds, water content, and water content. particle size distribution etc. The phase information of water in clouds is an important description parameter of clouds. Ice crystals or water droplets in clouds are the main substances in clouds, and the influence of clouds on atmospheric radiative transfer is mainly caused by the scattering and absorption of ice crystals or water droplets. According to the particle scattering theory, ice crystals or water droplets with different sizes and contents have different scattering characteristics, and the radiation effects caused by them are also different, and the size and content of ice crystals and water droplets in clouds vary with the atmospheric environment and cloud types, so , the content and particle size of water in clouds are very important to study the radiation effect of clouds. If the water content in the cloud is known, assuming that the particle size distribution of the water in the cloud satisfies a certain relationship, then the particle size spectrum distribution of the water in the cloud and the water content can be obtained by a simple mathematical relationship. Therefore, the study of water in the cloud The issue of content becomes critical.

目前为止,有多种对云的观测方法。卫星遥感有其自身的优势,可以从卫星轨道对全球云分布进行观测,但在云相态的探测方面,它只能从宏观上将云分为水相、冰相或混合相,并不能从微观上判定云水凝物粒子的相态,而且在云分类、云层重叠处理、低云观测等方面也存在很多问题,地表大面积的雪/ 冰、逆温层的出现等也会对卫星设备的被动观测产生很大影响。机载云滴粒子测量仪是人工影响天气中常用的仪器,可以测量飞机飞行路径上的云的各种参数,主要是云滴粒粒径谱、含水量等。机载云滴粒子探测器优势是能够直接测量云滴粒子,其结果较为准确,另外飞机可以采用飞行穿云的形式,可以获得大范围内云粒子参数,其缺点是飞机探测花费太高,又受空管限制,飞行机会并不多。就云的地面观测而言,气象业务中最常见的是人工观测方法,观测员通过对云状的判断和与目标物的对比,判断云高、云量。但人工观测时空分辨率低,且对云高的判断不如器测准确,对云量的判断则受观主观影响和观测者所处位置限制,因此,云观测业务中点人工观测将逐渐被云高仪和全天空成像仪所取代。云高仪和全天空成像仪是对云的宏观物理特性进行测量,不涉及云内部的微物理结构信息。探空仪则是将云观测仪器利用气球升力带入云中,云参数传感器将所测的相关参数传回地面。探空方式测云可以准确的得到云高、含水量、云粒径分布等信息,但缺点是时空分辨率低。微波辐射计是常用的被动观测仪器,可用于云含水量的反演,但作为被动遥感设备,微波辐射计在探测能力和空间分辨率上还有待提升。普通天气雷达由于其波长限制,对云的探测能力有限,随着毫米波技术的发展,毫米波雷达成为云观测的有力工具,毫米波雷达与普通的天气雷达相比波长短,能更好的与云中的水滴和冰晶相互左右,再配以扫描设备,毫米波雷达能够探测以雷达为中心几十公里内云的相关参数。为便于实地观测,毫米波雷达多做成方舱的形式,拖运方便,NASA则将毫米波雷达作为卫星有效载荷发射了Cloudsat卫星,可以对全球云分布进行测量。 So far, there are many ways to observe clouds. Satellite remote sensing has its own advantages. It can observe the global cloud distribution from satellite orbits. However, in terms of cloud phase detection, it can only classify clouds into water phase, ice phase, or mixed phase from a macroscopic point of view. Microscopically determine the phase state of cloud hydrometeor particles, and there are many problems in cloud classification, cloud overlap processing, low cloud observation, etc., large areas of snow/ice on the surface, the appearance of inversion layers, etc. Passive observations have a big impact. The airborne cloud droplet measuring instrument is a commonly used instrument in weather modification. It can measure various parameters of clouds on the flight path of the aircraft, mainly cloud droplet particle size spectrum, water content, etc. The advantage of the airborne cloud droplet particle detector is that it can directly measure the cloud droplet particles, and the result is relatively accurate. In addition, the aircraft can fly through the clouds to obtain cloud particle parameters in a large range. The disadvantage is that the detection cost of the aircraft is too high, and the Limited by air traffic control, there are not many opportunities to fly. As far as cloud ground observation is concerned, the most common method in meteorological operations is manual observation. Observers judge cloud height and cloud amount by judging cloud shape and comparing it with the target object. However, the temporal and spatial resolution of artificial observation is low, and the judgment of cloud height is not as accurate as that of instrumental measurement, and the judgment of cloud amount is subject to the subjective influence of observation and the limitation of the position of the observer. Grohe and All Sky Imager replaced. The ceilometer and the all-sky imager measure the macroscopic physical characteristics of the cloud, and do not involve the microphysical structure information inside the cloud. The radiosonde is to bring the cloud observation instrument into the cloud by the lift force of the balloon, and the cloud parameter sensor will transmit the measured relevant parameters back to the ground. The sounding method of cloud measurement can accurately obtain information such as cloud height, water content, and cloud particle size distribution, but the disadvantage is that the temporal and spatial resolution is low. Microwave radiometer is a commonly used passive observation instrument, which can be used to retrieve cloud water content. However, as a passive remote sensing device, microwave radiometer still needs to be improved in terms of detection capability and spatial resolution. Ordinary weather radar has limited ability to detect clouds due to its wavelength limitation. With the development of millimeter wave technology, millimeter wave radar has become a powerful tool for cloud observation. Compared with ordinary weather radar, millimeter wave radar has a shorter wavelength and better performance. Interacting with the water droplets and ice crystals in the cloud, coupled with scanning equipment, the millimeter-wave radar can detect the relevant parameters of the cloud within tens of kilometers centered on the radar. In order to facilitate on-the-spot observation, millimeter-wave radars are mostly made in the form of square cabins, which are convenient for hauling. NASA launched Cloudsat satellites with millimeter-wave radars as satellite payloads, which can measure global cloud distribution.

就云的微物理特性的连续观测而言,目前毫米波雷达是被公认的一种有效的探测设备。激光雷达比毫米波测云雷达更具有优势:空间分辨率方面,激光脉宽按照10ns计算,其距离分辨极限为1.5m,高于毫米波雷达的空间分辨能力率;波长方面,毫米波雷达的电磁波长是3mm或者是8mm(国内),一般来讲远大于云中粒子的大小,两者的作用强度必然受到限制,制约了毫米波雷达对小粒子薄云的探测能力,而激光雷达一般使用波长小于1微米的激光,能更好的与云中的粒子相互作用,可用于监测毫米波雷达无法观测到的云形成初期的小粒子和薄云;作用方式上,由于激光峰值功率较高,除传统的弹性作用外(弹性散射),还可能激发非线性效应(拉曼效应),丰富了探测波长,可以获得更多云中水的信息;技术成熟度方面,毫米波雷达关键技术,特别是磁控管寿命和造价问题,是制约国内毫米波雷达应用的主要因素,由于造价和维护成本较高,国内目前仅有少数几家单位拥有测云毫米波雷达,与毫米波雷达相比,激光雷达各项技术比较成熟,系统简单,运行维护成本低廉,在应用推广上具有一定的优势。 As far as the continuous observation of the microphysical characteristics of clouds is concerned, millimeter-wave radar is recognized as an effective detection device at present. Lidar has more advantages than millimeter-wave cloud radar: in terms of spatial resolution, the laser pulse width is calculated according to 10ns, and its distance resolution limit is 1.5m, which is higher than the spatial resolution of millimeter-wave radar; in terms of wavelength, millimeter-wave radar's The electromagnetic wavelength is 3mm or 8mm (domestic), which is generally much larger than the size of the particles in the cloud. The strength of the interaction between the two is bound to be limited, which restricts the detection ability of the millimeter-wave radar for small particles and thin clouds, while the laser radar generally uses The laser with a wavelength of less than 1 micron can better interact with the particles in the cloud, and can be used to monitor small particles and thin clouds in the early stage of cloud formation that cannot be observed by millimeter-wave radar; in terms of the mode of action, due to the high peak power of the laser, In addition to the traditional elastic effect (elastic scattering), nonlinear effects (Raman effect) may also be excited, which enriches the detection wavelength and can obtain more information about water in clouds; in terms of technology maturity, the key technology of millimeter-wave radar, especially It is the problem of magnetron life and cost, which is the main factor restricting the application of domestic millimeter-wave radar. Due to the high cost and maintenance cost, only a few domestic units currently have cloud-measuring millimeter-wave radar. Compared with millimeter-wave radar, The various technologies of lidar are relatively mature, the system is simple, and the operation and maintenance costs are low, so it has certain advantages in application and promotion.

用于云和气溶胶探测的微脉冲激光雷达在国外起步较早,非球形粒子退偏这一技术在国外相对也比较成熟,美国和欧洲的几项观测计划中相关站点大都有偏振激光雷达。具有偏振通道的拉曼激光雷达可以定性的描述云中水的相态,但要准确的获取水汽中的水含量需要用到水的光谱学知识(吸收光谱或拉曼散射光谱)。水汽拉曼激光雷达比水汽差分吸收激光雷达在系统复杂性、造价等方面具有优势,因此,国内外水汽拉曼激光雷达方面的研究较多。水汽拉曼激光雷达主要测量大气里面的水汽含量,而在云体内部,水的存在相态以液态水和固态水为主,目前为止,申请人尚未查到以云中固、液态水为探测对象激光雷达系统。本发明通过对云中固、液态水的拉曼散射光谱进行探测,建立可用于定量探测云中固态水和液态水含量的激光雷达系统,通过使用毫米波云雷达或探空气球对激光雷达系统进行标定,发展云中分相态水含量反演算法。发明利用拉曼技术,定量获取云中的固、液态水含量,对云微物理研究具有重要意义,填补我国在云中水相态探测的空白。 Micropulse lidar for cloud and aerosol detection started earlier abroad, and the technology of non-spherical particle depolarization is relatively mature abroad. Most of the relevant sites in several observation programs in the United States and Europe have polarization lidar. Raman lidar with polarization channel can qualitatively describe the phase state of water in clouds, but to accurately obtain the water content in water vapor requires the knowledge of water spectroscopy (absorption spectrum or Raman scattering spectrum). Compared with water vapor differential absorption lidar, water vapor Raman lidar has advantages in system complexity and cost. Therefore, there are many researches on water vapor Raman lidar at home and abroad. The water vapor Raman lidar mainly measures the water vapor content in the atmosphere, and inside the cloud, the phases of water are mainly liquid water and solid water. Object lidar system. The present invention detects the Raman scattering spectrum of solid and liquid water in clouds, and establishes a laser radar system that can be used to quantitatively detect the contents of solid water and liquid water in clouds. Carry out calibration and develop an inversion algorithm for the water content in separated phases in clouds. The invention uses Raman technology to quantitatively obtain the solid and liquid water content in clouds, which is of great significance to the study of cloud microphysics and fills the gap in the detection of water phase state in clouds in my country.

发明内容:Invention content:

本发明目的在于提供一种测量云中固、液态水含量的激光雷达探测方法与系统,其主要解决的技术问题是利用水的固、液态拉曼散射频移的不同,使用基于窄带滤光片的探测通道分别探测固、液两种相态水的特征拉曼回波信号。本发明根据固、液态水探测通道拉曼散射信号强度反演出云中水的固、液态含量。 The purpose of the present invention is to provide a laser radar detection method and system for measuring the solid and liquid water content in clouds. The detection channel detects the characteristic Raman echo signals of solid and liquid phase water respectively. The invention inverts the solid and liquid content of water in the cloud according to the Raman scattering signal intensity of the solid and liquid water detection channel.

本发明的技术解决方案如下: Technical solution of the present invention is as follows:

一种测量云中固、液态水含量的激光雷达探测系统,该探测系统包括: A lidar detection system for measuring solid and liquid water content in clouds, the detection system comprising:

1)主控系统,用于设置系统工作方式,包括激光收发系统探测方式,激光器工作方式,并将命令发至下位机;主控系统包含数据分析模块,将采集的数据进行实时分析,并根据云中固、液态水的反演原理,实时计算并显示云中固、液态水的含量; 1) The main control system is used to set the working mode of the system, including the detection mode of the laser transceiver system and the working mode of the laser, and send commands to the lower computer; the main control system includes a data analysis module, which analyzes the collected data in real time, and according to Inversion principle of solid and liquid water in clouds, real-time calculation and display of solid and liquid water content in clouds;

2)激光发射系统,根据主控系统的设置,调整激光器的工作方式及激光能量; 2) The laser emission system adjusts the working mode and laser energy of the laser according to the settings of the main control system;

3)激光接收系统,作用在于收集不同距离处的大气回波强度信号、云中水的拉曼散射信号,并通过后继光路送往探测通道; 3) The laser receiving system is used to collect atmospheric echo intensity signals at different distances and Raman scattering signals of water in clouds, and send them to the detection channel through the subsequent optical path;

4)光电探测系统,接收各个探测通道的光信号,并转换成电信号送往数据采集分析系统; 4) The photoelectric detection system receives the optical signals of each detection channel, converts them into electrical signals and sends them to the data acquisition and analysis system;

5)数据采集系统,采用光子计数卡及高速AD采集卡采集光电探测系统探测的信号,发送给数据分析系统。 5) The data acquisition system uses a photon counting card and a high-speed AD acquisition card to collect the signals detected by the photoelectric detection system and sends them to the data analysis system.

其中,所述接收系统采用高反光效率的Meade LX200望远镜及窄带滤光片后继光路。 Wherein, the receiving system adopts the Meade LX200 telescope with high light reflection efficiency and the subsequent optical path of the narrow-band filter.

其中,所述光电探测系统分为四个探测通道,分别接收大气分子、气溶胶、云的弹性散射;液态水的拉曼散射;固态水的拉曼散射和氮气分子的拉曼散射。 Wherein, the photoelectric detection system is divided into four detection channels, respectively receiving elastic scattering of atmospheric molecules, aerosols and clouds; Raman scattering of liquid water; Raman scattering of solid water and Raman scattering of nitrogen molecules.

其中,所述四个探测通道中每一个探测通道包含有一片透镜,一片滤光片和一个光电倍增管。四个探测通道的滤光片的透过中心波长不同,第一至第4通道分别为355nm,401nm,404nm,386.7nm,355nm对应弹性散射波长,401nm对应固态水拉曼散射波长,404nm对应液态水拉曼散射波长,386.7nm对应大气中的氮气拉曼散射波长。 Wherein, each of the four detection channels includes a lens, a filter and a photomultiplier tube. The transmission center wavelengths of the filters of the four detection channels are different. The first to fourth channels are 355nm, 401nm, 404nm, 386.7nm, 355nm corresponds to the elastic scattering wavelength, 401nm corresponds to the solid water Raman scattering wavelength, and 404nm corresponds to the liquid state Water Raman scattering wavelength, 386.7nm corresponds to the nitrogen Raman scattering wavelength in the atmosphere.

本发明测量云中固、液态水含量的激光雷达探测方法,该方法包括以下步骤: The present invention measures the lidar detection method of solid and liquid water content in cloud, and this method comprises the following steps:

1)利用主控程序选择激光器的工作方式、接收系统的采集方式及反演水固、液态含量的初值设定,并向激光发射系统和激光接收系统发送指令; 1) Use the main control program to select the working mode of the laser, the acquisition mode of the receiving system and the initial value setting of the inversion water-solid and liquid content, and send instructions to the laser emitting system and the laser receiving system;

2)利用激光发射系统控制(SureliteⅡ-20)激光器以20Hz的重复频率发射波长为355nm的脉冲激光; 2) Use the laser emission system to control (SureliteⅡ-20) laser to emit pulsed laser with a wavelength of 355nm at a repetition rate of 20Hz;

3)利用激光接收系统中收发同轴的(Meade LX200)望远镜接收不同距离处的回波; 3) Use the transceiver coaxial (Meade LX200) telescope in the laser receiving system to receive echoes at different distances;

4)利用分光镜及滤光片将回波信号分别送入4个探测通道:通道1接收大气分子、气溶胶、云的弹性散射称为弹性散射通道;通道2接收液态水的拉曼散射称为液态水探测通道;通道3接收固态水的拉曼散射称为固态水探测通道;通道4接收氮气分子的拉曼散射,用于归一化固、液态水探测通道的信号强度; 4) Use the spectroscope and filter to send the echo signal into four detection channels respectively: channel 1 receives the elastic scattering of atmospheric molecules, aerosols and clouds, which is called the elastic scattering channel; channel 2 receives the Raman scattering of liquid water, which is called It is a liquid water detection channel; channel 3 receives Raman scattering of solid water and is called a solid water detection channel; channel 4 receives Raman scattering of nitrogen molecules, which is used to normalize the signal intensity of solid and liquid water detection channels;

5)各个通道接收的回波信号通过光电探测系统,将光信号转化为电信号,并送给数据采集系统; 5) The echo signal received by each channel passes through the photoelectric detection system, converts the optical signal into an electrical signal, and sends it to the data acquisition system;

6)数据采集系统利用(采样率为10M的NI)数据采集卡采集通道1的弹性散射信号,利用两张(P7882)光子计数卡对另三个拉曼通道的信号进行计数; 6) The data acquisition system uses the data acquisition card (NI with a sampling rate of 10M) to collect the elastic scattering signal of channel 1, and uses two (P7882) photon counting cards to count the signals of the other three Raman channels;

7)主控系统对采集的数据进行实时分析,并根据云中固、液态水的反演原理,结合拉曼激光雷达系统的标定结果,实时计算并显示云中固、液态水的含量,并将结果进行实时保存处理。 7) The main control system analyzes the collected data in real time, and according to the inversion principle of solid and liquid water in the cloud, combined with the calibration results of the Raman lidar system, calculates and displays the content of solid and liquid water in the cloud in real time, and Save the results in real time.

其中,根据通道3、通道2输出的比值R,推算固、液态水的比值,对两个通道输出进行光谱重叠纠正,结果直接代入单一相态固、液态水反演算法进行反演,即可确定云中固、液态水含量。 Among them, according to the ratio R of the output of channel 3 and channel 2, the ratio of solid and liquid water is calculated, and the output of the two channels is corrected for spectral overlap, and the results are directly substituted into the single-phase solid and liquid water inversion algorithm for inversion. Determine the solid and liquid water content of clouds.

其中,所述反演算法如下:固态水拉曼散射的激光雷达方程写为: Wherein, the inversion algorithm is as follows: the lidar equation of solid-state water Raman scattering is written as:

 (1) (1)

其中R为探测高度,Pice为拉曼测云系统接收到的固态水的拉曼散射光功率,P0是激光的发射功率,Cice拉曼激光雷达的系统常数,σice为固态水的微分散射截面,IWC为固态水含水量,α(υ0,r)、α(υice,r)为大气分子和气溶胶对发射激光和拉曼散射光的消光系数; Among them, R is the detection height, P ice is the Raman scattered optical power of solid water received by the Raman cloud measuring system, P 0 is the emission power of the laser, C ice is the system constant of the Raman lidar, and σ ice is the power of solid water Differential scattering cross section, IWC is the water content of solid water, α(υ 0 , r), α(υ ice , r) are the extinction coefficients of atmospheric molecules and aerosols for emitted laser light and Raman scattered light;

对于氮气拉曼通道,其接收到的拉曼散射光功率为: For the nitrogen Raman channel, the received Raman scattered light power is:

  (2) (2)

式(2)中各参数与式(1)中各参数分别对应,其中,NN2是氮气的密度。将式(1)和式(2)经整理、变形,得到固态水含量密度的表达式: Each parameter in formula (2) corresponds to each parameter in formula (1), where N N2 is the density of nitrogen. After sorting and deforming formula (1) and formula (2), the expression of solid water content density is obtained:

(3) (3)

式中,Pice(R)/PN2(R)从雷达测量中获取,CN2NN2(R)σN20N2,T)/Ciceσice0ice,T)缩写为K,其中K为系统参数,β(R)为分子的后向散射系数,则式(3)变为: where P ice (R)/P N2 (R) is obtained from radar measurements, C N2 N N2 (R)σ N20N2 ,T)/C ice σ ice0ice , T) is abbreviated as K, where K is the system parameter, and β(R) is the backscattering coefficient of the molecule, then formula (3) becomes:

   (4) (4)

由式(4),要得到云中固态水的含量,其中获得拉曼测云激光雷达的系统参数K的过程即为激光雷达系统的标定。激光雷达系统标定主要使用毫米波雷达和探空气球。 From formula (4), to obtain the content of solid water in the cloud, the process of obtaining the system parameter K of the Raman cloud lidar is the calibration of the lidar system. Lidar system calibration mainly uses millimeter-wave radar and sounding balloons.

本发明与现有技术相比具有的优点在于:Compared with the prior art, the present invention has the advantages that:

1、利用窄带滤光片实现4个通道的拉曼信号分离探测,达到对云中水的固、液态含量进行有效探测,填补国内云中水相态探测的空白; 1. Use narrow-band filters to realize the separation and detection of Raman signals in 4 channels, to achieve effective detection of the solid and liquid content of water in clouds, and to fill the gap in the detection of water phase states in clouds in China;

2、通过对低云使用探空气球携带探测仪器进行云中水探测,对于高云使用毫米波测云雷达进行探测,借此实现对拉曼激光雷达系统参数的精确标定。 2. By using sounding balloons to carry detection instruments for low clouds to detect water in clouds, and for high clouds to use millimeter wave cloud radar to detect, so as to achieve accurate calibration of Raman lidar system parameters.

3、可以实现对云中水相态的高空间分辨率和高时间分辨率的探测。 3. It can realize the detection of the water phase state in the cloud with high spatial resolution and high time resolution.

4、本发明可以实施全天候无人值守监控。 4. The present invention can implement round-the-clock unattended monitoring.

附图说明: Description of drawings:

图1为本发明的系统框图。 Fig. 1 is a system block diagram of the present invention.

图2为本发明的主控流程图。 Fig. 2 is a main control flow chart of the present invention.

图1中:L为透镜;BS 为滤光片组;F 为滤光片组盘;M为全反镜;通道1为弹性散射通道;通道2为液态水探测通道;通道3为固态水探测通道;通道4为氮气拉曼通道;PMT为光电倍增管。 In Figure 1: L is the lens; BS is the filter group; F is the filter group plate; M is the total mirror; channel 1 is the elastic scattering channel; channel 2 is the liquid water detection channel; channel 3 is the solid water detection channel; channel 4 is a nitrogen Raman channel; PMT is a photomultiplier tube.

具体实施方式:Detailed ways:

本发明利用水的固、液态拉曼散射频移的不同,使用SureliteⅡ-20激光器作为激光发射源,产生355nm波长的激光辐射,通过主控系统设置激光工作方式及系统初值设定,利用望远镜接收云的后向散射信号,后向散射信号经透镜变成平行光,光学接收部分共有4个探测通道,其中两个水探测通道,使用窄带滤光片分别探测固、液两种相态水的特征拉曼回波信号,弹性散射通道用来探测气溶胶或云的光学特性,氮气拉曼通道则用来探测氮气的拉曼散射光,用于归一化水的拉曼散射信号。该激光雷达系统的三个拉曼通道使用两张光子计数卡进行光子计数,弹性散射通道则使用高速AD采集卡进行采集。并通过水的固、液态拉曼散射原理反演出云中水的固、液态含量。 The present invention utilizes the difference between the solid and liquid Raman scattering frequency shifts of water, uses the Surelite II-20 laser as the laser emission source to generate laser radiation with a wavelength of 355nm, sets the laser working mode and system initial value setting through the main control system, and uses the telescope The backscattering signal of the cloud is received, and the backscattering signal becomes parallel light through the lens. The optical receiving part has 4 detection channels in total, and two of the water detection channels use narrow-band filters to detect the solid and liquid phases of water respectively. The characteristic Raman echo signal of , the elastic scattering channel is used to detect the optical characteristics of aerosol or cloud, the nitrogen Raman channel is used to detect the Raman scattered light of nitrogen, and is used to normalize the Raman scattered signal of water. The three Raman channels of the lidar system use two photon counting cards for photon counting, and the elastic scattering channel uses a high-speed AD acquisition card for acquisition. And the solid and liquid content of water in the cloud is inverted by the solid and liquid Raman scattering principle of water.

该系统由主控系统,SureliteⅡ-20激光器一台、激光发射系统、激光接收系统,光电探测系统、数据采集系统、数据分析系统组成。其中,各个系统独立单元,整体由主控系统计算机进行控制,保证系统稳定性。其中,激光器发射波长为355nm。其中,接收系统采用高反光效率的Meade LX200望远镜及窄带滤光片等后继光路。其中,数据分析显示由主控计算机上的集成于主控系统中的数据分析系统进行分析完成。 The system consists of a main control system, a SureliteⅡ-20 laser, a laser emitting system, a laser receiving system, a photoelectric detection system, a data acquisition system, and a data analysis system. Among them, each system is an independent unit, and the whole is controlled by the main control system computer to ensure the stability of the system. Wherein, the emission wavelength of the laser is 355nm. Among them, the receiving system adopts the Meade LX200 telescope with high light reflection efficiency and the subsequent optical path such as narrow-band filter. Wherein, the data analysis display is completed by the data analysis system integrated in the main control system on the main control computer.

使用该系统进行探测的前提是在激光器工作状态良好时,利用水的固、液态拉曼散射频移的不同,使用窄带滤光片分别探测固、液两种相态水的特征拉曼回波信号,通过水的固、液态拉曼散射原理反演出云中水的固、液态含量。具体步骤是: The premise of using this system for detection is that when the laser is in good working condition, using the difference in the frequency shift of the solid and liquid Raman scattering of water, use a narrow-band filter to detect the characteristic Raman echoes of the solid and liquid phases of water. Signal, through the solid and liquid Raman scattering principle of water to invert the solid and liquid content of water in the cloud. The specific steps are:

在主控系统程序设置激光工作方式、系统工作时间、系统初值、反演初值等初始化启动信息。激光发射系统控制SureliteⅡ-20激光器产生355nm波长的激光辐射。利用收发异轴的Meade LX200望远镜接收不同距离处的回波。回波信号经透镜变成平行光,分别送往4个探测通道,其中两个水探测通道,使用窄带滤光片分别探测固、液两种相态水的特征拉曼回波信号,弹性散射通道用来探测气溶胶或云的光学特性,氮气拉曼通道则用来探测氮气的拉曼散射光,用于归一化水的拉曼散射信号。将各个通道接收到的回波通过光电探测系统,将光信号转化为电信号。数据采集系统中利用采样率为10M的NI数据采集卡采集弹性散射信号,利用两张P7882光子技术卡对三个拉曼通道进行计数。由数据分析系统将采集的数据进行分析,通过水的固、液态拉曼散射原理反演出云中水的固、液态含量,并在主控界面中进行显示,同时原始数据及分析结果由主控系统进行整理保存。 Set the initial start information such as laser working mode, system working time, system initial value, and inversion initial value in the main control system program. The laser emission system controls the Surelite II-20 laser to produce laser radiation with a wavelength of 355nm. The echoes at different distances are received by the Meade LX200 telescope with a different axis of transmission and reception. The echo signal is turned into parallel light by the lens, and sent to 4 detection channels respectively. Two of the water detection channels use narrow-band filters to detect the characteristic Raman echo signals of solid and liquid phase water respectively. Elastic scattering The channel is used to detect the optical characteristics of aerosol or cloud, and the nitrogen Raman channel is used to detect the Raman scattered light of nitrogen, which is used to normalize the Raman scattered signal of water. The echo received by each channel passes through the photoelectric detection system to convert the optical signal into an electrical signal. In the data acquisition system, a NI data acquisition card with a sampling rate of 10M is used to collect elastic scattering signals, and two P7882 photon technology cards are used to count three Raman channels. The collected data is analyzed by the data analysis system, and the solid and liquid contents of water in the cloud are reversed through the solid and liquid Raman scattering principle of water, and displayed on the main control interface. At the same time, the original data and analysis results are controlled by the main control The system organizes and saves.

实施例一:Embodiment one:

如图1所示,本发明的测量云中固、液态水含量的激光雷达探测系统,该探测系统包括:  As shown in Figure 1, the lidar detection system of the present invention measures solid and liquid water content in the cloud, and this detection system comprises:

1)主控系统,用于设置系统工作方式,包括激光发射系统的出光模式和光电探测系统的探测方式,系统工作前,主控系统将设置命令发至下位机;数据分析系统是主控系统的一个软件模块,该模块将采集的数据进行实时分析,并根据云中固、液态水的反演原理,实时计算并显示云中固、液态水的含量;主控系统还完成对采集的数据及分析的结果进行实时保存处理; 1) The main control system is used to set the working mode of the system, including the light output mode of the laser emission system and the detection mode of the photoelectric detection system. Before the system works, the main control system sends the setting command to the lower computer; the data analysis system is the main control system A software module, which analyzes the collected data in real time, and calculates and displays the content of solid and liquid water in the cloud in real time according to the inversion principle of solid and liquid water in the cloud; the main control system also completes the analysis of the collected data and analysis results are stored and processed in real time;

2)激光发射系统采用SureliteⅡ-20激光器,发射波长为355nm,该激光发射系统的控制系统可以作为下位机接收上位机发出的设置命令,用以调整激光器的工作方式及激光能量; 2) The laser emission system adopts SureliteⅡ-20 laser, and the emission wavelength is 355nm. The control system of the laser emission system can be used as a lower computer to receive setting commands from the upper computer to adjust the working mode and laser energy of the laser;

3)激光接收系统,采用高反光效率的Meade LX200望远镜及窄带滤光片等后继光路,各部分考虑光学效率,镀有相应的全反膜或者增透膜,用于收集不同距离处的大气回波强度信号,并通过后继光路送往各个探测通道;  3) The laser receiving system adopts the Meade LX200 telescope with high reflective efficiency and the narrow-band filter and other subsequent optical paths. Considering the optical efficiency, each part is coated with a corresponding full-reflection film or anti-reflection film to collect atmospheric returns at different distances. The wave intensity signal is sent to each detection channel through the subsequent optical path;

4)光电探测系统使用EMI9214型光电倍增管,用于接收各个探测通道的光信号,并转换成电信号送往数据采集分析系统,共分为4个探测通道,分别接收大气分子、气溶胶、云的弹性散射,液态水的拉曼散射,固态水的拉曼散射和氮气分子的拉曼散射。; 4) The photoelectric detection system uses EMI9214 photomultiplier tubes to receive the optical signals of each detection channel and convert them into electrical signals and send them to the data acquisition and analysis system. It is divided into 4 detection channels to receive atmospheric molecules, aerosols, Elastic scattering of clouds, Raman scattering of liquid water, Raman scattering of solid water and Raman scattering of nitrogen gas molecules. ;

5)数据采集系统,采用光子计数卡(P7882)及高速AD采集卡(NI5105)采集光电探测系统探测的信号,并将该信号发送给数据分析系统。 5) The data acquisition system uses a photon counting card (P7882) and a high-speed AD acquisition card (NI5105) to collect the signal detected by the photoelectric detection system, and sends the signal to the data analysis system.

实施例二:Embodiment two:

如图2所示,本发明测量云中固、液态水含量的激光雷达探测方法,该方法包括以下步骤: As shown in Figure 2, the laser radar detection method of the present invention measures solid and liquid water content in the cloud, the method comprises the following steps:

1)利用主控程序选择激光器的工作方式、接收系统的采集方式及反演水固、液态含量的初值设定等,并向激光发射系统和激光接收系统发送指令; 1) Use the main control program to select the working mode of the laser, the acquisition mode of the receiving system, and the initial value setting of the inverted water-solid and liquid content, etc., and send instructions to the laser emitting system and the laser receiving system;

2)利用激光发射系统控制SureliteⅡ-20激光器以20Hz的重复频率发射波长为355nm的脉冲激光; 2) Use the laser emission system to control the SureliteⅡ-20 laser to emit pulsed laser light with a wavelength of 355nm at a repetition rate of 20Hz;

3)利用激光接收系统中收发同轴的Meade LX200望远镜接收不同距离处的回波; 3) Use the coaxial Meade LX200 telescope in the laser receiving system to receive echoes at different distances;

4)利用分光镜及滤光片将回波信号分别送入4个探测通道:通道1接收大气分子、气溶胶、云的弹性散射称为弹性散射通道,通过该通道可以获取消光系数廓线,用于对拉曼散射信号的衰减订正。通道2接收液态水的拉曼散射称为液态水探测通道,PMT2前面的干涉滤光片F2的中心波长为λL,通带带宽为0.2nm。通道3接收固态水的拉曼散射称为固态水探测通道,PMT3前面的干涉滤光片F3的中心波长为λI,通带带宽为0.2nm。通道4接收氮气分子的拉曼散射,用于归一化固、液态水探测通道,通道1和通道4前面也均放置对应的窄带干涉滤光片用以滤除噪声。 4) Use the spectroscope and filter to send the echo signal into 4 detection channels: channel 1 receives the elastic scattering of atmospheric molecules, aerosols and clouds, which is called the elastic scattering channel, through which the extinction coefficient profile can be obtained, Used for attenuation correction of Raman scattering signals. Channel 2 receives the Raman scattering of liquid water and is called liquid water detection channel. The interference filter F2 in front of PMT2 has a center wavelength of λ L and a passband bandwidth of 0.2nm. Channel 3 receives the Raman scattering of solid water and is called the solid water detection channel. The interference filter F3 in front of PMT3 has a central wavelength of λ I and a passband bandwidth of 0.2nm. Channel 4 receives Raman scattering of nitrogen molecules and is used to normalize solid and liquid water detection channels. Corresponding narrow-band interference filters are also placed in front of channel 1 and channel 4 to filter out noise.

5)将各个通道接收的回波信号通过光电探测系统,将光信号转化为电信号; 5) Pass the echo signal received by each channel through the photoelectric detection system to convert the optical signal into an electrical signal;

6)利用采样率为10M的NI数据采集卡(NI5105)采集弹性散射信号,利用两张P7882光子技术卡对三个拉曼通道进行计数; 6) Use the NI data acquisition card (NI5105) with a sampling rate of 10M to collect elastic scattering signals, and use two P7882 photon technology cards to count the three Raman channels;

7)主控系统的数据分析模块将采集的数据进行实时分析,并根据云中固、液态水的反演原理,实时计算并显示云中固、液态水的含量;  7) The data analysis module of the main control system will analyze the collected data in real time, and calculate and display the content of solid and liquid water in the cloud in real time according to the inversion principle of solid and liquid water in the cloud;

其中,激光发射系统SureliteⅡ-20发射355nm激光,利用望远镜Meade LX200接收云的后向散射信号,后向散射信号经透镜变成平行光,光学接收部分共有4个探测通道,其中两个水探测通道,使用窄带滤光片分别探测固、液两种相态水的特征拉曼回波信号,弹性散射通道用来探测气溶胶或云的光学特性,氮气拉曼通道则用来探测氮气的拉曼散射光,用于归一化水的拉曼散射信号。该激光雷达系统的三个拉曼通道使用两张光子计数卡(P7882)进行光子计数,弹性散射通道则使用高速AD采集卡(NI5105)进行采集。利用该激光雷达系统可以实现、云中固、液态水含量的同时观测。 Among them, the laser emitting system SureliteⅡ-20 emits 355nm laser, and the telescope Meade LX200 is used to receive the backscattering signal of the cloud, and the backscattering signal becomes parallel light through the lens. The optical receiving part has 4 detection channels, two of which are water detection channels , using narrow-band filters to detect the characteristic Raman echo signals of solid and liquid phases of water, the elastic scattering channel is used to detect the optical properties of aerosols or clouds, and the nitrogen Raman channel is used to detect the Raman of nitrogen Scattered light is used to normalize the Raman scattering signal of water. The three Raman channels of the lidar system use two photon counting cards (P7882) for photon counting, and the elastic scattering channel uses a high-speed AD acquisition card (NI5105) for acquisition. The lidar system can be used to realize the simultaneous observation of the solid and liquid water content in the cloud.

其中,光电探测系统使用量子效率高,响应光谱宽的光电探测器系统。 Among them, the photodetection system uses a photodetector system with high quantum efficiency and wide response spectrum.

其中,对于液态水探测和固态水探测通道,分别选择极端天气观测时间窗口(仅存在固态水的冰云和仅存在液态水的水云),结合毫米波测云雷达和释放气球探空,分别对液态水探测通道和固态水探测通道进行标定。 Among them, for liquid water detection and solid water detection channels, the extreme weather observation time windows (ice clouds with only solid water and water clouds with only liquid water) were selected respectively, combined with millimeter-wave cloud radar and balloon sounding, respectively Calibrate the liquid water detection channel and the solid water detection channel.

其中,数据采集系统的光子计数卡采用峰值光子探测效率>70%,时间分辨率>300ps的数据采集设备,采集到的数据信息与主控程序相联系,根据云中固、液态水的反演原理,实时计算并显示云中固、液态水的含量。 Among them, the photon counting card of the data acquisition system adopts a data acquisition device with a peak photon detection efficiency > 70% and a time resolution > 300ps. The collected data information is connected with the main control program. According to the inversion of solid and liquid water in the cloud Principle, calculate and display the content of solid and liquid water in the cloud in real time.

其中,主控系统中反演水固、液态含量的初值设定根据固、液态水的拉曼散射特点确定标识某一相态的拉曼散射波长,固、液态水的拉曼散射波长的选择可以通过计算固、液态水的拉曼散射光谱的比值进行,当固、液比值(Ii-Il)/(Il+ Ii)最大为Rmax时,该波长选为固态水的拉曼特征波长λI,反之,当固、液比值最小为Rmin时,该波长选为液态水的拉曼散射波长λLAmong them, the initial value setting of the inversion water solid and liquid content in the main control system is determined according to the Raman scattering characteristics of solid and liquid water to identify the Raman scattering wavelength of a certain phase state, and the Raman scattering wavelength of solid and liquid water The selection can be carried out by calculating the ratio of the Raman scattering spectra of solid and liquid water. When the ratio of solid and liquid (I i -I l )/(I l + I i ) is the maximum R max , the wavelength is selected as the wavelength of solid water. Raman characteristic wavelength λ I , on the contrary, when the solid-liquid ratio is minimum R min , this wavelength is selected as the Raman scattering wavelength λ L of liquid water.

云中固、液态水的反演方法为,固态水拉曼散射的激光雷达方程可以写为: The inversion method of solid and liquid water in clouds is as follows. The lidar equation of solid water Raman scattering can be written as:

  (1) (1)

其中R为探测高度,即探测点距离地面的高度,可通过激光雷达测得;Pice为拉曼测云系统接收到的固态水的拉曼散射光功率,可通过探测通道3测得;P0是激光的发射功率,Cice拉曼激光雷达的系统常数,σice为固态水的微分散射截面,IWC为固态水含水量,α(υ0,r)、α(υice,r)为大气分子和气溶胶对发射激光和拉曼散射光的消光系数,可通过探测通道1测量获得。 Among them, R is the detection height, that is, the height of the detection point from the ground, which can be measured by lidar; P ice is the Raman scattered optical power of solid water received by the Raman cloud measuring system, which can be measured through the detection channel 3; P 0 is the emission power of the laser, C ice is the system constant of Raman lidar, σ ice is the differential scattering cross section of solid water, IWC is the water content of solid water, α(υ 0 , r), α(υ ice , r) are The extinction coefficients of atmospheric molecules and aerosols for emitted laser light and Raman scattered light can be measured through detection channel 1.

对于氮气拉曼通道,即第4个探测通道,其接收到的拉曼散射光功率为:各方程中的参数均限定清楚,已知需给出,未知的给出求法 For the nitrogen Raman channel, that is, the fourth detection channel, the received Raman scattered light power is: the parameters in each equation are clearly defined, the known ones need to be given, and the unknown ones are given the calculation method

  (2) (2)

式(2)中各参数与式(1)中各参数分别对应,其中,NN2是氮气的密度。将式(1)和式(2)稍做整理、变形,可以得到固态水含量密度的表达式: Each parameter in formula (2) corresponds to each parameter in formula (1), where N N2 is the density of nitrogen. By arranging and deforming formula (1) and formula (2), the expression of solid water content density can be obtained:

(3) (3)

式中,Pice(R)/PN2(R)可以从雷达测量中获取,CN2NN2(R)σN20N2,T)/Ciceσice0ice,T)可以缩写为K,其中K为系统参数,β(R)为分子的后向散射系数,则式(3)可以变为: where P ice (R)/P N2 (R) can be obtained from radar measurements, C N2 N N2 (R)σ N20N2 ,T)/C ice σ ice0ice ,T) can be abbreviated as K, where K is the system parameter, β(R) is the backscattering coefficient of the molecule, then formula (3) can be changed to:

   (4) (4)

由式(4),要得到云中固态水的含量,需要知道拉曼测云激光雷达的系统参数K,获得K的过程称为系统标定,激光雷达系统标定主要使用毫米波雷达和探空气球。系统参数K的标定过程为,对于低云可以使用探空气球携带探测仪器对云中水进行探测,对于高云则可以使用毫米波测云雷达,通过选取特定云样本进行观测的方法测得云中的含水量,再结合激光雷达各通道的测量结果,通过上述反演公式,计算获得系统参数K。上述算法为固态水的反演算法,对于单一的液态水而言,算法与之相同,在此不再赘述。 From formula (4), in order to obtain the content of solid water in the cloud, it is necessary to know the system parameter K of the Raman cloud lidar. The process of obtaining K is called system calibration. The calibration of the lidar system mainly uses millimeter-wave radar and sounding balloons . The calibration process of the system parameter K is as follows: for low clouds, the sounding balloon can be used to carry the detection instrument to detect the water in the clouds; for high clouds, the millimeter-wave cloud radar can be used to measure the cloud by selecting specific cloud samples for observation. The water content in the system, combined with the measurement results of each channel of the laser radar, and through the above inversion formula, the system parameter K is calculated. The above algorithm is an inversion algorithm for solid water, and for a single liquid water, the algorithm is the same and will not be repeated here.

 对于混合相态的云而言,激光雷达对混合相态的云进行测量时,由于固、液态水拉曼光谱的重合,导致部分液态水的拉曼散射进入固态水探测通道,部分固态水的拉曼散射进入液态水探测通道。要使用上述的单一相态水的反演方法,首先需要将固、液态水探测值进行订正。根据对固、液态水的拉曼光谱的研究,冰云的比值为Rmax,水云的比值为Rmin,固、液态水之间的比值R大于Rmin小于Rmax, R的比值与两者之间的混合比例有关,并可以建立数学模型,将固、液态水的比值和R之间建立一一对应关系。因此,对混合相态水进行激光雷达观测时,首先使用建立的数学模型,根据固、液两通道输出的比值R,推算固、液态水的比值,并根据该比值,对两个通道输出进行光谱重叠纠正,订正后的结果,可以直接带入单一相态固、液态水反演算法进行反演。 For mixed-phase clouds, when lidar measures mixed-phase clouds, due to the overlap of Raman spectra of solid and liquid water, part of the Raman scattering of liquid water enters the solid water detection channel, and part of the Raman of solid water Raman scattering into the liquid water detection channel. To use the above inversion method for single-phase water, it is first necessary to correct the detected values of solid and liquid water. According to the research on the Raman spectrum of solid and liquid water, the ratio of ice cloud is R max , the ratio of water cloud is R min , the ratio R between solid and liquid water is greater than R min and less than R max , the ratio of R and the two It is related to the mixing ratio between them, and a mathematical model can be established to establish a one-to-one correspondence between the ratio of solid and liquid water and R. Therefore, when performing lidar observations on mixed-phase water, first use the established mathematical model to calculate the ratio of solid to liquid water based on the ratio R of the output of the solid and liquid channels. Spectral overlap correction, the corrected results can be directly brought into the single-phase solid and liquid water inversion algorithm for inversion.

本发明利用水的固、液态拉曼散射频移的不同,使用SureliteⅡ-20激光器作为激光发射源,产生355nm波长的激光辐射,通过光学接收部分的4个探测通道:其中,两个水探测通道,使用窄带滤光片分别探测固、液两种相态水的特征拉曼回波信号,弹性散射通道用来探测气溶胶或云的光学特性,氮气拉曼通道则用来探测氮气的拉曼散射光,用于归一化水的拉曼散射信号,实现对云中水的相态进行探测。并通过水的固、液态拉曼散射原理反演出云中水的固、液态含量。 The present invention utilizes the difference between the solid and liquid Raman scattering frequency shifts of water, uses the Surelite II-20 laser as the laser emission source to generate laser radiation with a wavelength of 355nm, and passes through the four detection channels of the optical receiving part: among them, two water detection channels , using narrow-band filters to detect the characteristic Raman echo signals of solid and liquid phases of water, the elastic scattering channel is used to detect the optical properties of aerosols or clouds, and the nitrogen Raman channel is used to detect the Raman of nitrogen Scattered light is used to normalize the Raman scattering signal of water to detect the phase state of water in clouds. And the solid and liquid content of water in the cloud is inverted by the solid and liquid Raman scattering principle of water.

Claims (6)

1. an Airborne Lidar examining system of measuring solid, liquid state liquid water content in cloud, this detection system comprises:
1) master control system, for system operating mode is set, comprises laser transmitting-receiving system detection mode, laser works mode, and order is sent to slave computer; Master control system comprises data analysis module, and the data of collection are carried out to real-time analysis, and according to the inversion principle of solid, liquid state water in cloud, calculates in real time and show the content of solid, liquid state water in cloud;
2) laser transmitting system, according to the setting of master control system, adjusts working method and the laser energy of laser instrument;
3) laser receiver system, effect is to collect the atmosphere echo signal intensity at different distance place, the Raman scattering signal of Yun Zhongshui, and is sent to detection channels by follow-up light path;
4) Photodetection system, receives the light signal of each detection channels, and converts electric signal to and be sent to data acquisition and analysis system; This Photodetection system is divided into four detection channels, receives respectively the elastic scattering of atmospheric molecule, gasoloid, cloud; The Raman scattering of aqueous water; The Raman scattering of solid water and the Raman scattering of nitrogen molecule;
5) data acquisition system (DAS), adopts photon counting card and high-speed AD acquisition card to gather the signal that Photodetection system is surveyed, and sends to data analysis system.
2. Airborne Lidar examining system according to claim 1, wherein, described receiving system adopts Meade LX200 telescope and the follow-up light path of narrow band pass filter of high reflector efficiency.
3. Airborne Lidar examining system according to claim 1, wherein, in described four detection channels, each detection channels includes a slice lens, a tablet filter and a photomultiplier.
4. a laser radar detection method of measuring solid, liquid state liquid water content in cloud, the method comprises the following steps:
1) utilize primary control program to select the initial value design of the working method of laser instrument, the acquisition mode of receiving system and inverting water solid, liquid state content, and send instruction to laser transmitting system and laser receiver system;
2) utilize laser transmitting system to control laser instrument and take the pulse laser that the repetition frequency emission wavelength of 20Hz is 355nm;
3) utilize the echo of receiving and dispatching coaxial telescope reception different distance place in laser receiver system;
4) utilize spectroscope and optical filter that echoed signal is sent into respectively to 4 detection channels: the elastic scattering that passage 1 receives atmospheric molecule, gasoloid, cloud is called elastic scattering passage; The Raman scattering that passage 2 receives aqueous water is called aqueous water detection channels; The Raman scattering that passage 3 receives solid water is called solid water detection channels; Passage 4 receives the Raman scattering of nitrogen molecule;
5) echoed signal that each passage receives, by Photodetection system, is converted into electric signal by light signal, and gives data acquisition system (DAS);
6) data acquisition system (DAS) is utilized the elastic scattering signal of data collecting card acquisition channel 1, utilizes two photon counting cards to count the signal of another three Raman passages;
7) master control system is carried out real-time analysis to the data that gather, and according to the inversion principle of solid, liquid state water in cloud, in conjunction with the calibration result of Raman laser radar system, calculate in real time and show the content of solid, liquid state water in cloud, and result is carried out preserving and processing in real time.
5. laser radar detection method according to claim 4, wherein, according to the ratio R of passage 3, passage 2 outputs, calculate the ratio of solid, liquid state water, two passage outputs are carried out to spectra overlapping correction, the single phase solid, liquid of the direct substitution of result state water inversion algorithm carries out inverting, can determine solid, liquid state liquid water content in cloud.
6. laser radar detection method according to claim 5, wherein, described inversion algorithm is as follows: the laser radar equation of solid water Raman scattering is written as:
P ice ( R ) = C ice P 0 IWC σ ice ( υ 0 , υ ice , T ) R 2 × exp ( - ∫ 0 R ( α ( υ 0 , r ) + ( α ( υ ice , r ) ) dr ) - - - ( 1 )
Wherein R is for surveying height, P icefor Raman is surveyed the Raman scattering luminous power of the solid water that cloud system receives, P 0the emissive power of laser, C icethe system constants of Raman lidar, σ icefor the differential scattering of solid water, IWC is solid water water cut, α (υ 0, r), α (υ ice, r) be atmospheric molecule and the gasoloid extinction coefficient to Emission Lasers and Raman diffused light;
For nitrogen Raman passage, the Raman scattering luminous power that it receives is:
P N 2 ( R ) = C N 2 P 0 N N 2 ( R ) σ N 2 ( υ 0 , υ N 2 , T ) R 2 × exp ( - ∫ 0 R ( α ( υ 0 , r ) + ( α ( υ N 2 , r ) ) dr ) - - - ( 2 )
In formula (2), each parameter is corresponding respectively with each parameter in formula (1), wherein, and N n2the density of nitrogen; By formula (1) and formula (2) through arranging, distortion, obtain solid water containing the expression formula of metric density:
IWC = P ice P N 2 C N 2 N N 2 ( R ) σ N 2 ( υ 0 , υ N 2 , T ) C ice σ ice ( υ 0 , υ ice , T ) × exp ( - ∫ 0 R ( α ( υ N 2 , r ) - ( α ( υ ice , r ) ) dr ) - - - ( 3 )
In formula, P ice(R)/P n2(R) from radargrammetry, obtain C n2n n2(R) σ n20, υ n2, T)/C iceσ ice0, υ ice, T) be abbreviated as K, wherein K is systematic parameter, the backscattering coefficient that β (R) is molecule, formula (3) becomes:
IWC = P ice P N 2 Kβ ( R ) × exp ( - ∫ 0 R ( α ( υ N 2 , r ) - ( α ( υ ice , r ) ) dr )
By formula (4), obtain the content of solid water in cloud, wherein obtain Raman and survey the demarcation that the process of the systematic parameter K of cloud laser radar is laser radar system.
CN201210322203.3A 2012-09-04 2012-09-04 Laser radar detection method and system for measuring contents of solid water and liquid water in cloud Expired - Fee Related CN102830107B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210322203.3A CN102830107B (en) 2012-09-04 2012-09-04 Laser radar detection method and system for measuring contents of solid water and liquid water in cloud

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210322203.3A CN102830107B (en) 2012-09-04 2012-09-04 Laser radar detection method and system for measuring contents of solid water and liquid water in cloud

Publications (2)

Publication Number Publication Date
CN102830107A CN102830107A (en) 2012-12-19
CN102830107B true CN102830107B (en) 2014-09-03

Family

ID=47333318

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210322203.3A Expired - Fee Related CN102830107B (en) 2012-09-04 2012-09-04 Laser radar detection method and system for measuring contents of solid water and liquid water in cloud

Country Status (1)

Country Link
CN (1) CN102830107B (en)

Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103293117B (en) * 2013-05-03 2015-06-17 中国科学院合肥物质科学研究院 Inversion method of micro-pulse differential absorption lidar water vapor spatial and temporal distribution
CN103293526B (en) * 2013-05-13 2015-06-03 西安电子科技大学 Synthetic steering vector based beam forming meter-wave radar height measurement method
CN103364791A (en) * 2013-06-03 2013-10-23 广东电网公司东莞供电局 A transmission line mountain fire monitoring lidar device installed on a transmission tower
CN103698313A (en) * 2013-12-31 2014-04-02 中国科学院合肥物质科学研究院 Water vapor Raman laser radar ultraviolet high-resolution grating spectrometer
CN104597454B (en) * 2015-01-21 2017-07-21 中国空间技术研究院 A kind of survey mysorethorn experiment device and method based on Terahertz active cloud detection radar
CN104880711B (en) * 2015-05-18 2016-08-17 中国科学院合肥物质科学研究院 Single wavelength four Raman lidar detection system and detection method
CN105044729A (en) * 2015-06-30 2015-11-11 北京师范大学 Raman scattering laser radar used for aircraft detection
CN104950294B (en) * 2015-07-14 2017-03-15 南京信息工程大学 A kind of measuring method of medium-and-large-sized laser radar geometric overlap factor and measuring system
CN105891064B (en) * 2016-04-05 2018-12-28 山东大学 A kind of detection method and its device of aerosol particle composite rate
CN106443708A (en) * 2016-06-29 2017-02-22 无锡中科光电技术有限公司 Atmospheric particulate monitoring lidar data processing method
CN106814371B (en) * 2017-01-20 2020-06-09 武汉大学 Laser radar system for measuring atmospheric temperature, water vapor and aerosol
CN106970046A (en) * 2017-04-05 2017-07-21 南京信息工程大学 Cloud particle detection system and method based on Polarization Detection
CN107356915A (en) * 2017-09-11 2017-11-17 南京信息工程大学 A kind of scaling method and calibration system of middle infrared differential absorption lidar
CN107727638B (en) * 2017-11-02 2020-08-14 嘉兴镭光仪器科技有限公司 Laser Raman spectrum gas analyzer with resonant cavity enhancement
CN108614309B (en) * 2018-05-11 2019-08-02 西安理工大学 cloud water resource detection system and method
CN109283550B (en) * 2018-11-23 2023-05-05 中国科学院合肥物质科学研究院 All-solid-state all-weather water vapor scanning detection lidar system and detection method
CN109557557B (en) * 2018-12-10 2021-07-16 山东国耀量子雷达科技有限公司 Software-defined multifunctional laser radar
CN110220596A (en) * 2019-06-19 2019-09-10 杭州赫太克科技有限公司 Long-range lock control triple channel ultraviolet Raman spectrometer
CN111413710B (en) * 2020-04-29 2023-03-14 西安理工大学 Raman-polarization laser radar system for cloud phase detection and identification
CN111766610B (en) * 2020-08-17 2024-07-26 南京晓庄学院 Aerosol laser radar system based on CCD lateral detection
CN112558109A (en) * 2020-12-07 2021-03-26 北京遥测技术研究所 Airborne multi-wavelength Raman polarization atmospheric detection laser radar system
CN112904308B (en) * 2021-01-27 2024-04-30 西安理工大学 Laser radar system and method for detecting cloud phase state and cloud water content
CN113295626A (en) * 2021-05-19 2021-08-24 中国科学院合肥物质科学研究院 Aerosol extinction spectrum measurement method and device based on array type micro-pulse laser radar
CN113640831B (en) * 2021-08-19 2024-03-08 中国科学院上海技术物理研究所 Micropulse laser radar and method for detecting atmospheric water vapor, temperature and pressure
CN115266509B (en) * 2022-09-26 2023-02-24 水利部交通运输部国家能源局南京水利科学研究院 Underwater vertical suspended matter concentration detection method and system based on laser radar

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100561254C (en) * 2006-04-17 2009-11-18 武汉大学 Atmospheric detection lidar based on semiconductor laser
CN100543495C (en) * 2006-12-20 2009-09-23 西安理工大学 Meteorological and Atmospheric Environment Observation Raman Scattering LiDAR System
CN201607407U (en) * 2009-09-18 2010-10-13 澳门科技大学 Intelligent off-axis Raman lidar system
CN201637849U (en) * 2010-04-13 2010-11-17 中国海洋大学 Lidar Atmospheric Echo Spectrum Separation Device
US8338785B2 (en) * 2011-04-29 2012-12-25 Rosemount Aerospace Inc. Apparatus and method for detecting aircraft icing conditions
CN102353650A (en) * 2011-07-06 2012-02-15 南京信息工程大学 Method and system for detecting liquid explosive based on laser radar technology
CN102628947B (en) * 2012-04-11 2014-04-02 南京信息工程大学 Atmospheric ozone profile Raman-Rayleigh/Lamy laser radar measuring device and detection method

Also Published As

Publication number Publication date
CN102830107A (en) 2012-12-19

Similar Documents

Publication Publication Date Title
CN102830107B (en) Laser radar detection method and system for measuring contents of solid water and liquid water in cloud
Kotthaus et al. Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations
CN104880711B (en) Single wavelength four Raman lidar detection system and detection method
CN102879359B (en) Atmospheric visibility measuring system
CN106872324A (en) The detection device and detection method of a kind of aerosol particle amount of substance concentration
CN101833089B (en) Doppler anemometry laser radar sensitivity calibrating system and method
CN103293116B (en) Automatic continuous detection device of micro-pulse differential absorption lidar water vapor spatial and temporal distribution
CN103630908B (en) Laser frequency spectrum Measurement and calibration method in molecular scattering anemometry laser radar
WO2011066808A1 (en) High-spectrum resolution laser radar device with real-time calibration
CN109061668B (en) Multi-field-of-view polarized laser radar detection system and method for detecting ice cloud
CN109990843B (en) Method and device for monitoring flight speed and environment parameters of aircraft
AU2012203739A1 (en) Methods of determining the liquid water content of a cloud
CN106526611A (en) Method for measuring ocean inherent optical parameter by using laser radar system
RU177419U1 (en) Lidar for remote measurement of temperature and humidity with minimal dead zone sounding
CN107064957A (en) A kind of many visual field laser radar detection system and methods measured for liquid water cloud
Hoareau et al. A Raman lidar at La Reunion (20.8 S, 55.5 E) for monitoring water vapour and cirrus distributions in the subtropical upper troposphere: preliminary analyses and description of a future system
CN102937586A (en) Laser radar based water-in-cloud raman scattering full-spectrum measurement system and method thereof
CN204631247U (en) A kind of high spectral resolution lidar system
CN103135113B (en) Method for measuring height of atmospheric boundary layer
Yufeng et al. A UV multifunctional Raman lidar system for the observation and analysis of atmospheric temperature, humidity, aerosols and their conveying characteristics over Xi'an
CN109164466A (en) For measuring the laser radar system of temperature humidity profile
Wu et al. Observations of water vapor mixing ratio profile and flux in the Tibetan Plateau based on the lidar technique
CN202383294U (en) Multiple meteorological parameter synchronous measurement laser radar
Marchant et al. Aglite lidar: a portable elastic lidar system for investigating aerosol and wind motions at or around agricultural production facilities
CN202837189U (en) Laser radar detection system for measuring cloud water content

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20140903

Termination date: 20170904