联合时间序列相干性和后向散射系数的黄河三角洲湿地分类

针对后向散射系数难以完成高精度湿地分类问题,本文以16景VH极化的Sentinel-1A影像为数据源,构建了一种联合时间序列相干性和后向散射系数的分类方法。通过对长时间序列的后向散射系数和相干性分析,选择互花米草易与其他地物混淆的3个时相(6月27日(R)、11月18日(G)、11月30日(B))的后向散射系数图为合成数据源,引入11月18—30日相干图代替11月30日后向散射系数图。采用SVM和随机森林分类器,探究相干性引入前后黄河三角洲湿地分类精度变化。研究表明,相干性引入后,SVM和随机森林分类结果的总体精度分别提升了3.07%和3.85%,互花米草的分类精度分别提升了9.39%和11.42%。     

干旱区内陆湖盆沙尘水平通量及粒度特征——以青土湖地区为例

内陆季节性湖盆是干旱区重要的粉尘来源地,其沙尘的排放会通过一系列的陆地-大气相互作用对区域气候及生态环境产生重大影响。以青土湖、南湖和红沙岗为研究对象,利用BSNE型沙尘仪采集沙尘物质,探讨不同地区沙尘水平通量和粒度特征。结果表明：5个测点平均沙尘水平通量表现为青土湖北(612.1 kg·m^-2·a^-1)>青土湖南(84.6kg·m^-2·a^-1)>青土湖东(35.2 kg·m^-2·a^-1)>红沙岗(11.0 kg·m^-2·a^-1)>南湖(10.7 kg·m^-2·a^-1),随着高度增加,青土湖北和青土湖东沙尘水平通量快速降低,青土湖南和红沙岗的下降速度分别在0.5 m和1 m高度以上放缓,南湖先降后增;沙尘颗粒物主要为粉沙和极细沙,其次为细沙和黏土,除青土湖南外,其余测点随着高度的增加呈粉沙含量递增、细沙含量递减、平均粒径变细的趋势;5个测点总体表...     

祁连山北坡夏季晴天气溶胶粒子变化特征

利用2007年7月祁连山区民乐县何庄进行的晴空观测所获得的PMS资料,对祁连山区大气气溶胶粒子的数浓度分布及日变化特征进行了统计分析,并结合相对湿度、风速和风向等气象资料,讨论了气溶胶粒子浓度与气象因子的关系。结果表明,该地区PCASP探测的气溶胶平均数浓度为102~103个·cm-3,FSSP-100探测的粒子平均数浓度为10-2~101个·cm-3,日变化特征表现为早晚大,中午小;FSSP和PCASP探测的气溶胶粒子谱分别呈负指数型和单峰型分布特点,其Junge幂指数谱分布和Deirmendjian广义Γ谱分布的分段拟合,能够更好地显示当地粒子的演变特征;此外,气溶胶粒子不仅与相对湿度、气温之间存在相关性,而且与风向风速亦有明显关系。     

河西走廊东部冬季浅层地温与春季沙尘天气的关系

利用河西走廊东部民勤、凉州、永昌3个气象站1960~2010年冬季0、5、10、15、20 cm地温和1961~2011年春季沙尘暴和扬沙天气的常规观测资料,分析了河西走廊东部冬季浅层地温和春季沙尘天气日数的时空特征,进而探讨了春季沙尘天气与冬季浅层地温的关系。结果表明:受海拔高度、地理位置等影响,河西走廊东部冬季浅层地温有明显地域差异,其中高海拔的永昌最低,低海拔的民勤次之,而海拔介于民勤和永昌之间的凉州最高;春季沙尘天气日数自低海拔地区向高海拔地区逐渐减少,即民勤最多、凉州区次之、永昌最少;河西走廊东部的沙尘天气日数与浅层地温在空间上呈一定的负相关,二者的年变化趋势明显相反,即冬季浅层地温总体呈逐年升高的趋势,而春季沙尘日数呈逐年减少的趋势,且都存在6~7 a和9~10 a的周期;相关分析表明,河西走廊东部春季沙尘日数与冬季浅层地温呈负相关,其中与0 cm地温的相关性最显著。     

青岛一次沙尘污染事件的气象条件特征

2008年5月28日至6月1日青岛市区出现了持续5 d的大气污染,其中29-30日为重度污染,其余3日为轻度污染。本文基于青岛常规地面和高空观测资料以及环境监测站SO2、NO2、PM10监测资料,利用资料分析和中尺度数值模拟的方法,分析造成青岛此次持续多日的大气污染的污染源、大气环流和气象要素特征。分析结果表明：此次污染过程主要是外来沙尘引起的PM10污染;持续较强的逆温层结以及近地面层弱南北风频繁交替出现造成沙尘在近地层往复、积聚,最终导致连续多日的空气污染。     

Aerosol Type Identification Using PARASOL Multichannel Polarized Data

PARASOL （Polarization ＆ Anisotropy of Reflectances for Atmospheric Sciences coupled with Ob- servations from a Lidar） multi-channel and mul- ti-directional polarized data for different aerosol types were compared. The PARASOL polarized radiance data at 490 nm, 670 nm, and 865 nm increased with aerosol optical thickness （AOT） for fine-mode aerosols; however, the polarized radiances at 490 nm and 670 nm decreased as AOT increased for coarse dust aerosols. Thus, the vari- ation of the polarized radiance with AOT can be used to identify fine or coarse particle-dominated aerosols. Polar- ized radiances at three wavelengths for fine- and coarse-mode aerosols were analyzed and fitted by linear regression. The slope of the line for 670 nm and 490 nm wavelength pairs is less than 0.35 for dust aerosols. However, the value for fine-mode aerosols is greater than 0.60. The Support Vector Machine method （SVM） based on 12 vector features was used to discriminate clear sky, coarse dust aerosols, fine-mode aerosols, and cloud. Two cases were given and validated by AErosol RObotic NETwork （AERONET） measurements, MODIS （Mod- erate Resolution Imaging Spectroradiometer） FMF （Fine Mode Fraction at 550 nm） images, PARASOL RGB （Red Green Blue） images, and CALIOP （Cloud-Aerosol Lidar with Orthogonal Polarization） VFM （Vertical Feature Mask） data.     

Optimal Forward-Scattering Angles of Atmospheric Aerosols in North China

The accurate understanding of atmospheric aerosol extinction coefficients is very important for at- mospheric science research. To achieve a fast and simple method for determining the parameters, the selection of optimal forward-scattering angles of atmospheric aerosols is required. In this paper, the authors introduce the detec- tion basis of forward-scattering of atmospheric aerosols, and the authors verify the sensitivity of the phase function to the real part of the complex refractive index. The au- thors use the Jaenicke urban aerosol model to determine that forward-scattering angles near 33° are suitable. However, the optimal forward-scattering angles in North China are between 37° and 40°. Numerical simulation shows that certain types of particle size distribution of newly generated particles and pollution have limited in- fluences on the selection of forward-scattering angles. But the ranges of these insensitive angles shift - 10 degrees for dust intrusion, and the relative deviations of the phase function are less than 5.0% within extra angles of 0° to 3°. This study can serve as a reference for the selection of optimal forward-scattering angles for visibility meters and Present Weather Identifiers （PWIs） in addition to the de- tection of forward-scattering optical properties.     

湛江地区一次冷锋型海雾微物理特征

利用2010年3月31日—4月2日冷锋天气系统影响下湛江海雾综合观测资料,分析了海雾的微物理特征及海雾过程中气溶胶粒子谱的演变特征。结果表明,海雾的生消与风场密切相关,海雾生成和发展与较强的ESE气流相联系,而弱的NE气流则会促使海雾减弱或消散。湛江海雾的雾滴数浓度为100~102cm-3,液态含水量为0.001~0.232 g·m-3,雾滴平均半径小于10μm,雾滴峰值半径多位于1.4μm。海雾雾滴谱分布以单调递减谱为主,谱宽超过20μm,且雾发展过程中雾滴谱谱宽存在突然增宽和迅速减小的现象。海雾过程中雾滴数浓度的变化主要是由半径小于5μm的雾滴数密度变化引起的。海雾过程对气溶胶粒子的湿清除效果并不显著,雾过程中粒径小于0.1μm和大于4μm的气溶胶粒子数密度显著减少,但在雾消散后又迅速恢复到雾发生前的水平。     

The Role of the Aerosol Indirect Effect in the Northern Indian Ocean Warming Simulated by CMIP5 Models

The northern Indian Ocean （NIO） experienced a decadal-scale persistent warming from 1950 to 2000, which has influenced both regional and global climate. Because the NIO is a region susceptible to aerosols emis- sion changes, and there are still large uncertainties in the representation of the aerosol indirect effect （ALE） in CMIP5 （Coupled Model Intercomparison Project Phase 5） models, it is necessary to investigate the role of the AIE in the NIO warming simulated by these models. In this study, the authors select seven CMIP5 models with both the aerosol direct and indirect effects to investigate their performance in simulating the basin-wide decadal-scale NIO warming. The results show that the decreasing trend of the downwelling shortwave flux （FSDS） at the surface has the major damping effect on the SST increasing trend, which counteracts the warming effect of greenhouse gases （GHGs）. The FSDS decreasing trend is mostly contrib- uted by the decreasing trend of cloudy-sky surface downwelling shortwave flux （FSDSCL）, a metric used to measure the strength of the AIE, and partly by the clear-sky surface downwelling shortwave flux （FSDSC）. Models with a relatively weaker AIE can simulate well the SST increasing trend, as compared to observation. In contrast, models with a relatively stronger AIE produce a much smaller magnitude of the increasing trend, indicat- ing that the strength of the AIE in these models may be overestimated in the NIO.     

陕西关中气溶胶对大气能见度的影响研究

为了研究大气污染对能见度的影响,利用MODIS卫星气溶胶光学厚度(Aerosol Optical Depth,AOD)产品、陕西关中地区43个气象观测站能见度资料、西安泾河太阳光度计CE318气溶胶观测资料以及泾河站风速、相对湿度、能见度观测资料,分别分析了卫星MODIS/AOD和地基CE318/AOD与能见度、低能见度日数的关系以及在不同风速、相对湿度时AOD与能见度的关系。结果表明,陕西关中MODIS/AOD的空间分布与能见度分布具有明显对应关系,冬、春季AOD与08:00(北京时,下同)能见度相关最好,夏、秋季AOD与14:00能见度相关最好。去除降水因素后,空气中颗粒物污染是造成秋、冬季出现低能见度的主要原因。地基观测的气溶胶波长指数在0.8~1.2之间时对能见度的影响最大。空气中颗粒物造成的能见度下降与相对湿度密切相关,湿度越大,能见度下降越明显。风速小,大气中的颗粒物容易聚集,使能见度变差;风速大,有利于空气中颗粒物扩散,使能见度得到改善。用AOD估算能见度时,需要考虑大气相对湿度和风速的影响。