基于双视场激光雷达的气溶胶水平分布观测

在自主研制的便携式双视场米散射气溶胶激光雷达（DFOV激光雷达）基础上,探索双视场激光雷达信号拼接思路,利用“斜率-Fernald”方法反演了气溶胶水平消光系数,进而获取了DFOV激光雷达对气溶胶水平消光系数的扫描分布。首先,对雷达回波信号分段运用斜率法,求解最优的气溶胶消光系数、后向散射系数以及相对应的参考距离,然后将该参考点处的后向散射系数代入“Fernald方法”的前后向积分解中,进而得到整条廓线的消光系数。该方法有效避免了“斜率法”中大气均匀的前提假设和消光系数负值的问题,也有效避免了“Fernald方法”对参考点的限制和要求。在获取水平消光系数后,通过拟合近地面空气质量监测点位过顶时刻DFOV激光雷达测量的气溶胶消光系数与PM₁₀质量浓度ρ(PM₁₀)之间的关系,相关性达到0.91。将此定量关系传递至激光雷达扫描的消光系数结果中,可得到气溶胶质量浓度的水平分布,定量反演大气中颗粒物的分布,用于研究近地面大气污染成因、机理和污染来源分析,为DFOV激光雷达进一步应用于城市区域大气污染定量评价和区域空气质量三维模式同化分析研究提供定量的数据支撑。     

利用转动拉曼测量大气气溶胶后项散射比

利用大气的弹性散射信号与整个转动拉曼信号的比值,不需要假设任何的气溶胶的消光与后项散射比值,就可得到大气气溶胶的后项散射比。通常测量部分转动拉曼谱线之和代替全部转动拉曼谱线之和。全部的转动拉曼谱线之和是不依赖温度,但部分的转动拉曼谱线之和却是与温度有关的。因此,利用转动部分拉曼谱线之和反演大气气溶胶的后项散射比就会带来误差。模拟了随温度变化不同转动量子数的拉曼谱线之和,并且计算了由这些不同转动拉曼谱线之和反演大气气溶胶后项散射比的误差。然后文章提出了一种新的方法,不需要测量整个转动拉曼谱线之和,而只需要测量单条转动拉曼谱线及大气温度,就可以获得大气气溶胶的后项散射比。最后通过实验给出了实际测量的大气气溶胶的后项散射比的结果。     

An iterative calculation to derive extinction-to-backscatter ratio based on lidar measurements

The aerosol optical thickness (AOT) is an important parameter for understanding the radiative impact of aerosols. AOT based on lidar measurements is often limited by its finite detection range. In this paper, we have reported a method of fitting and iterative calculation to derive the extinction profile of background aerosols from 0 to 30 km at 532 nm, which is virtually the AOT of the entire atmosphere. The mean extinction derived from this method at the ground level tallies with visibility measurement and it is also consistent with the sun-photometer data, within experimental error. These data have been further treated to study the dust cases. For most of the cases, transmission losses were determined to estimate the extinction as well as lidar ratio. The result of the analysis shows that for background aerosols, a mean lidar ratio of 47±15 sr was found. For dust layers, a mean lidar ratio of 44±19 sr and an optical thickness of 0.53±0.49 were determined at 532 nm.     

Raman Lidar Measurements of Aerosol and Cloud Optical Properties in the Troposphere

A Raman lidar has been developed with photon counting technique. Aerosol and cloud extinction coefficients are derived by nitrogen (N2) molecular Raman scatter returns in the troposphere. Both backscatter coefficients and extinction-backscatter-ratios of aerosol and cloud are presented by simultaneously combining N2 Raman and Mie-Rayleigh returns of aerosol and molecule. Ratios of extinction to backscatter between 20 sr and 70 sr are usually found for aerosol, but less than 15 sr for mid-high altitude cloud in the troposphere.     

Raman Lidar Measurements of Aerosol and Cloud Optical Properties in the Troposphere

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Rotational Raman lidar for obtaining aerosol scattering coefficients

Two-channel lidar signals that are composed of total rotational scattering and elastic signals provide good information about aerosol scattering coefficients. We can calculate the aerosol backscattering coefficient and extinction coefficient directly, without making any assumption or calibration. Generally, a high-spectral-resolution lidar is used for aerosol monitoring, but we have designed a new low-spectral-resolution lidar system that contains both kinds of scattering information simultaneously, and we have retrieved the aerosol scattering coefficient. The results show that there is no need to assume any relation between aerosol backscattering and extinction or to consider any wavelength calibration to determine the aerosol scattering coefficient.     

Raman激光雷达探测气溶胶光学特性

介绍了武汉大学自行研制的Raman多通道激光雷达系统,给出了整个系统的设计原理及主要技术参量.详细描述了利用Raman激光雷达原理反演大气气溶胶消光系数、后向散射系数和激光雷达比等光学特性的方法,并对求解消光系数过程中的关键部分做了讨论分析.同时对武汉上空对流层低空大气气溶胶、云以及边界层等光学特性进行了实时探测反演.实验结果表明:该Raman多通道激光雷达系统在夜晚对低空气溶胶的垂直分布特性具有较好的探测能力,工作性能可靠.     

New multi-quantum number rotational Raman lidar for obtaining temperature and aerosol extinction and backscattering scattering coefficients

Aerosol and temperature are important parameters for forecasting the weather. Rotational Raman signals of atmospheric molecules and an elastic signal of the molecule and aerosol give good information about the temperature and aerosol extinction and backscattering coefficients. For a rotational Raman signal, we have designed a new kind of lidar signal receiving system which can sum different rotational quantum numbers from J=2, to 9 and J=11, to 20. This integration signal gives a good signal to noise ratio when compared with the temperature lidar system which use an interference filter for a single quantum number. From this new system, we can obtain the temperature parameter and aerosol scattering coefficient with good signal to noise ratio the (SNR) with a normal laser and a small telescope up to several kilometers. Temperature profiles and aerosol profiles show different shapes in different weather conditions. PACS 42.62.Fi; 42.68.Jg; 42.68.Ge; 42.15.Eq; 42.58.Wt     

Measurements for profiles of aerosol extinction coefficient,backscatter coefficient,and lidar ratio over Wuhan in China with Raman/Mie lidar

<正>The profiles of aerosol extinction,backscatter coefficient,and lidar ratio in the lower troposphere over Wuhan are measured by a multi-channel Raman/Mie lidar.Using the lidar ratio retrieved by Raman scattering principle,the profiles of aerosol extinction and backscatter coefficients are also retrieved by Mie scattering signals,without a prior assumption about their relation in the traditional pure Mie signals data analyses.The observations by both Raman and Mie are in good agreement with each other.The high coherence shows that the system is reliable,and the Mie and Raman channels are in good adjustment and have the same field of view.     

一种无需定标的地基激光雷达气溶胶消光系数精确反演方法

如何对低云下雾霾的激光雷达探测数据进行准确定标,一直是米散射激光雷达数据反演中一个有待解决的问题.对于低云和雾霾同时出现的天气,激光很难穿透云层,不能利用大气清洁层对激光雷达信号定标.而对于探测高度小于6 km的便携式米散射激光雷达,由于探测高度较低,也很难利用大气清洁层对激光雷达数据进行定标.本文根据Fernald前向积分方程的特点,提出了一种气溶胶消光系数迭代算法.通过对反演过程进行特定设置,每经过一次迭代,利用气溶胶消光系数迭代算法得到的气溶胶消光系数反演值与其真实值之间的差值就会相应减小.经过几次迭代后,气溶胶消光系数反演值与真实值之间的差值就会小到可以忽略不计.初步反演结果表明:利用气溶胶消光系数迭代算法,无需对激光雷达探测数据定标就能精确反演出气溶胶消光系数廓线.     

Effective lidar ratios of dense dust layers over North Africa derived from the CALIOP measurements

Lidar ratio (i.e., extinction-to-backscatter ratio) is a key parameter required for retrieving extinction profiles and optical depths from elastic backscatter lidar measurements, and the quality of any extinction retrieval depends critically on the accuracy of the assumed or measured lidar ratio. In this study, we analyze the first two and a half years of the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data acquired during nighttime. Distributions of the effective lidar ratio (ELR), which is the product of the lidar ratio and an instrument-dependent multiple scattering factor, are derived for opaque dust layers observed by CALIOP over the North Africa. The median and mean ELR values are, respectively, 36.4 and 38.5 sr at 532 nm and 47.7 and 50.3 sr at 1064 nm. For these opaque dust layers, the derived ELR decreases as the volume depolarization ratio (VDR) increases, reflecting the impact of multiple scattering within the dense layers. The particulate depolarization ratio is typically ∼0.3 at 532 nm for African dust observed by CALIOP. This ratio can increase to ∼0.4 in the presence of significant multiple scattering. Correspondingly, the calculated ELR will decrease to ∼20 sr at 532 nm and to ∼30 sr at 1064 nm. The median and mean effective lidar ratio values approach, respectively, to 38 and 40 sr at 532 nm and 52 and 55 sr at 1064 nm for smaller VDR values measured in less dense layers where the multiple scattering is relatively insignificant. These values are very close to those derived in previous case studies for moderately dense dust. Case studies are also performed to examine the impacts of multiple scattering. The results obtained are generally consistent with Monte-Carlo simulations.     

Retrieving the aerosol lidar ratio profile by combining ground- and space-based elastic lidars

The aerosol lidar ratio is a key parameter for the retrieval of aerosol optical properties from elastic lidar, which changes largely for aerosols with different chemical and physical properties. We proposed a method for retrieving the aerosol lidar ratio profile by combining simultaneous ground- and space-based elastic lidars. The method was tested by a simulated case and a real case at 532 nm wavelength. The results demonstrated that our method is robust and can obtain accurate lidar ratio and extinction coefficient profiles. Our method can be useful for determining the local and global lidar ratio and validating space-based lidar datasets.     

双视场米散射激光雷达探测对流层气溶胶

介绍了自行研制的用来探测对流层大气气溶胶消光特性的双视场米散射激光雷达.该激光雷达采用两个具有独立接收视场的探测通道分别接收高低层532 nm的大气回波信号,可以兼顾低层大视场角低探测盲区和高层小视场角高探测高度的要求.叙述了该雷达系统的总体结构和技术参量以及数据处理方法,给出了合肥地区(东经117.16°,北纬31.90°)大气气溶胶消光系数廓线和对流层光学厚度的探测结果.测量结果表明,该雷达具备昼夜连续观测对流层大气气溶胶的能力,可以很好地反映气溶胶粒子的时间和空间分布特征.      

利用紫外Mie散射激光雷达探测澳门地区沙尘暴事件

研制了一台工作波长为355nm的紫外高能Mie散射激光雷达,并利用该激光雷达在2010年一次沙尘暴事件期间对澳门上空的大气进行了探测,得到了澳门地区不同时刻的气溶胶消光系数垂直廓线。利用Fernald方法反演得到的气溶胶近地面消光系数随时间的变化与当地气象数据具有较好的一致性,气溶胶消光系数与当地可吸入颗粒物浓度的相关性达到了0.93。气溶胶垂直廓线显示,在沙尘暴来临期间存在明显的沙尘气溶胶凝集层。通过气溶胶轨迹倒推,分析了沙尘气溶胶的来源及路径。观测结果表明,该激光雷达可以在特殊天气条件下对澳门地区气溶胶进行有效探测,这将有助于深化对澳门上空气溶胶特性的研究。     

An algorithm to determine cirrus properties from analysis of multiple-scattering influence on lidar signals

A Monte Carlo-based evaluation of the multiple-scattering influence on ground-based Raman lidar measurements is presented. The lidar returns from cirrus clouds are analyzed in order to evaluate vertical profiles of the extinction and backscattering coefficients. Results show that for the typical cirrus cloud, the presence of the multiple scattering can lead to an underestimation of the extinction coefficient by as large as 200% whereas the backscattering coefficient is almost unaffected for the Raman lidar technique. An algorithm to select one or a set of phase functions which fit to the lidar data is also presented. It is an iterative procedure based on Monte Carlo scattering simulation. By comparison of the experimental value of the lidar ratio, corrected for the multiple scattering influence, and the phase function used in the Monte Carlo simulation, one can determine a suitable phase function. The validity and sensitivity of the algorithm have been demonstrated by applying it to simulated cases. The application to some real cases indicates that our procedure allows for the establishing of a practical scattering model for the cirrus clouds.     

探测对流层气溶胶的双波长米氏散射激光雷达

研制了一台双波长米氏散射激光雷达,用于532nm和1064nm两个波长对流层气深胶消光系数垂直廓线的长期探测.介绍了该激光雷达的技术参数和总体结构,叙述了各部分的结构和工作原理,给出了合肥地区对流层气溶胶测量的若干典型结果.     

探测大气气溶胶消光系数的便携式米散射激光雷达

 介绍了一种新型的便携式米散射激光雷达的总体结构及其各部分的功能，分析讨论了该激光雷达在夜晚与白天探测大气气溶胶消光系数垂直廓线的性能。其夜晚的探测高度达到15km左右，白天的探测高度达到10km左右。还可对卷云进行探测，获得卷云的厚度及其峰值消光系数。该激光雷达具有结构紧凑、体积小、重量轻、自动化程度高、探测速度快等优点。     

Geometrical form factor determination with Raman backscattering signals

A new method is presented to determine the geometrical form factor in Raman lidar. Mie and Raman backscattering signals are acquired by L625 Raman lidar; then the aerosol backscattering ratio and atmospheric molecular density are derived. By normalizing the molecular density of Raman lidar with radiosonde measurements, the geometrical form factors of lidar are obtained. Experimental results indicate this method is feasible.     

Ultraviolet Raman lidar for high-accuracy profiling of aerosol extinction coefficient

An ultraviolet （UV） Raman lidar system at 354.7 nm has been developed for accurately measuring the aerosol extinction profiles. A spectroscopic filter combining a high-spectral-resolution grating with two narrowband mirrors is used to separate the vibrational Raman scattering signal of N2 at a central wavelength of 386.7 nm and the elastic scattering signal at 354.7 nm. The aerosol extinction is derived from the Raman scattering of N2 and the elastic scattering by the use of Raman method and Klett method, respectively. The derived results of aerosol extinction are used to compare the difference of two retrieval methods, and the preliminary experiment shows that the Raman lidar system operated in analog detection mode has the capability of measuring aerosol profiles up to a height of 3 km with a laser energy of 250 mJ and an integration time of 8 min.     

基于粒子谱的多波长激光雷达近场大气光学参数校正方法

非同轴激光雷达由于存在发射激光与接收望远镜之间的不完全重叠区, 造成近场回波信号与真实大气信号不一致. 对于多波长激光雷达, 这种不一致更为突出和复杂. 然而, 近场大气是人类活动最集中的区域, 因此对多波长激光雷达近场信号进行校正, 对于了解和探究边界层大气具有十分重要的意义. 提出了一种利用粒子谱仪测量近地层气溶胶尺度谱分布并运用Mie 散射理论和低层大气指数衰减规律, 进而直接校正多波长激光雷达消光系数廓线近场信号的新方法. 通过对晴天、多云天气和雾天多波长气溶胶消光系数廓线近场信号的校正, 证明了该方法的可行性和实用性. 该方法着重考虑了多波长激光雷达比的波长依赖性和气溶胶粒子谱分布的天气相关性, 将该方法用于近地层大气消光系数廓线校正, 减少了由于不考虑这两个因素带来的消光系数廓线反演和校正的不确定性. 该方法对于研究不同天气情况下边界层内的大气气溶胶物理、光学特性具有一定的实用价值和借鉴意义.