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《地学前缘(英文版)》2020,11(6):2169-2181
This study provides characteristics of aerosol columnar properties, measured over ten countries in Eastern Europe from 2002 to 2019. Aerosol optical depth (AOD) and Ångström exponent (AE) were obtained with the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6.1 merged Dark Target and Deep Blue aerosol product. The product is validated using ground-based Aerosol Robotic Network (AERONET) situated at Minsk, Belsk, Moldova and Kyiv. The results showed that 76.15% of retrieved AOD data are within the expected error. It was established that 64.2% of AOD points are between 0 and 0.2 and 79.3% of all AE points are over 1. Mean AOD values in the region vary from 0.130 ± 0.04 (Moldova) to 0.193 ± 0.03 (Czech Republic) with mean value in the region 0.162 ± 0.05. Seasonal mean AOD (AE) values were at the maximum during the summer from 0.231 ± 0.05 (1.482 ± 0.09 in winter) to minimum 0.087 ± 0.04 during the winter (1.363 ± 0.17 in summer). Gradual AOD reduction is observed in all countries with annual trend from −0.0050 (Belarus) to −0.0029 (Russia). Finally, the relationship between AOD and AE was studied to classify various aerosol types and showed seasonal non-uniformity of their contribution depending on variation in sources. The entire region is under significant impact of various aerosol types, including clean continental (СС), mixed (MX) and anthropogenic/burning (AB) aerosols types that are at 59.77%, 24.72%, and 12.97% respectively. These results form an important basis for further regional studies of air quality and distribution of sources of pollution. 相似文献
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Study on Probability Distributions of Multi-Timescale Aerosol Optical
Depth Using AERONET Data 
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下载免费PDF全文 The probability distribution analysis is per-formed for multi-timescale aerosol optical depth (AOD) using AErosol RObotic NETwork (AERONET) level 2.0 data.The maximum likelihood estimation is employed to determine the best-fit probability density function (PDF),and the statement that the fitting Weibull distribution will be light-tailed is proved true for these AOD samples.The best-fit PDF results for multi-site data show that the PDF of AOD samples with longer timescale in most sites tends to be stably represented by lognormal distribution,while Weibull distribution is a better fit for AOD samples with short timescales.The reason for this difference is ana-lyzed through tail characteristics of the two distributions,and an indicator for the selection between Weibull and lognormal distributions is suggested and validated.The result of this research is helpful for determining the most accurate AOD statistics for a given site and a given time-scale and for validating the retrieved AOD through its PDF. 相似文献
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利用AERONET 10个站点的Level2数据分析得到2010—2017年西亚地区多个气溶胶参数(光学厚度(Aerosol Optical Depth,AOD)、吸收光学厚度(Absorption Aerosol Optical Depth,AAOD)、波长指数α、粒子体积谱和单次散射反照率(Single Scattering Albedo,SSA))的季节、年际和日变化特征。结果表明,西亚10个站点AOD、AAOD、α和SSA的多年总平均值分别是0.245±0.094、0.030±0.006、0.889±0.247和0.918±0.016,粒子体积谱呈双峰分布。各站点的气溶胶光学参数呈现明显的季节和区域差异。AOD总体表现为春夏季大,秋冬季小。受沙尘影响,各站点α最小值和粗粒子体积浓度峰值均出现在春季,但α最大值呈现明显区域差异,其在阿拉伯半岛站点多出现在冬季,而环地中海站点出现在夏季。此外,阿拉伯半岛站点AAOD夏秋季大、冬春季小,SSA春夏季大、秋冬季小;而环地中海站点AAOD冬春季大、夏秋季小,SSA夏秋季大、冬春季小。除了季节变化外,两地区气溶胶的日变化也不同。阿拉伯半岛站点年平均AOD的日内差异普遍比环地中海站点剧烈,其中沙漠站点呈明显的早晚高,中午低的特征。从年变化来看,除TEP站的α值和ERD站的AAOD值呈显著下降趋势外,其他站点各光学参数的变化趋势均不显著。 相似文献
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北京地区Landsat 8 OLI高空间分辨率气溶胶光学厚度反演 总被引：3，自引：0，他引：3
卫星气溶胶光学厚度(AOD)反演中,传统暗目标方法在反射率较低的水体、浓密植被覆盖区域取得了较好效果,在反射率较高且结构复杂的高反射地表上空目前多采用深蓝算法,但存在空间分辨率较低,对细节分布描述性较差等问题。为解决这一问题,本文首先以5年(2008年—2012年)长时间序列MODIS地表反射率产品为基础,采用最小值合成法建立500 m分辨率逐月地表反射率产品数据集,然后利用地物波谱库中典型地物波谱数据,分析建立MODIS与Landsat 8 OLI传感器蓝光波段反射率转换模型,最后北京地区AERONET地基观测数据确定了气溶胶光学物理参数,并反演获取了北京地区上空500 m分辨率的AOD分布。为验证反演算法的精度,分别将反演结果同AERONET及MODIS/Terra气溶胶产品(MOD04)进行交叉对比,同时利用相关系数R,均方根误差RMSE,平均绝对误差MAE以及MODIS AOD产品预期误差EE共4个指标进行衡量。结果表明:算法反演获取的AOD与AERONET观测值具有较高的一致性,各指标分别为R=0.963,RMSE=0.156,MAE=0.097,EE=85.3%,稍优于MOD04产品(R=0.962,RMSE=0.158,MAE=0.101,EE=75.8%),并且有效的对比点数也高于MOD04。通过与地基观测相比,卫星遥感获取的高分辨率城市地区AOD精度可作为定量评估城市空气质量的有效依据。 相似文献
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This article illustrates two techniques for merging daily aerosol optical depth (AOD) measurements from satellite and ground-based data sources to achieve optimal data quality and spatial coverage. The first technique is a traditional Universal Kriging (UK) approach employed to predict AOD from multi-sensor aerosol products that are aggregated on a reference grid with AERONET as ground truth. The second technique is spatial statistical data fusion (SSDF); a method designed for massive satellite data interpolation. Traditional kriging has computational complexity O(N3), making it impractical for large datasets. Our version of UK accommodates massive data inputs by performing kriging locally, while SSDF accommodates massive data inputs by modelling their covariance structure with a low-rank linear model. In this study, we use aerosol data products from two satellite instruments: the moderate resolution imaging spectrometer and the geostationary operational environmental satellite, covering the Continental United States. 相似文献
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The Moderate Resolution Imaging Spectroradiometer(MODIS) sensor onboard NASA's Aqua satellite has been collecting valuable data about the Earth system for more than 14 years, and one of the benefits of this is that it has made it possible to detect the long-term variation in aerosol loading across the globe. However, the long-term aerosol optical depth(AOD)trends derived from MODIS need careful validation and assessment, especially over land. Using AOD products with at least 70 months' worth of measurements collected during 2002–15 at 53 Aerosol Robotic Network(AERONET) sites over land,Mann–Kendall(MK) trends in AOD were derived and taken as the ground truth data for evaluating the corresponding results from MODIS onboard Aqua. The results showed that the AERONET AOD trends over all sites in Europe and North America, as well as most sites in Africa and Asia, can be reproduced by MODIS/Aqua. However, disagreement in AOD trends between MODIS and AERONET was found at a few sites in Australia and South America. The AOD trends calculated from AERONET instantaneous data at the MODIS overpass times were consistent with those from AERONET daily data, which suggests that the AOD trends derived from satellite measurements of 1–2 overpasses may be representative of those from daily measurements. 相似文献
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Yunfei FU Jiachen ZHU Yuanjian YANG Renmin YUAN Guosheng LIU Tao XIAN Peng LIU 《大气科学进展》2017,34(8):952-964
Taking winter and summer in eastern China as an example application, a grid-cell method of aerosol direct radiative forcing(ADRF) calculation is examined using the Santa Barbara DISORT Atmospheric Radiative Transfer(SBDART) model with inputs from MODIS and AERONET observations and reanalysis data. Results show that there are significant seasonal and regional differences in climatological mean aerosol optical parameters and ADRF. Higher aerosol optical depth(AOD)occurs in summer and two prominent high aerosol loading centers are observed. Higher single scattering albedo(SSA) in summer is likely associated with the weak absorbing secondary aerosols. SSA is higher in North China during summer but higher in South China during winter. Aerosols induce negative forcing at the top of the atmosphere(TOA) and surface during both winter and summer, which may be responsible for the decrease in temperature and the increase in relative humidity.Values of ADRF at the surface are four times stronger than those at the TOA. Both AOD and ADRF present strong interannual variations; however, their amplitudes are larger in summer. Moreover, patterns and trends of ADRF do not always correspond well to those of AOD. Differences in the spatial distributions of ADRF between strong and weak monsoon years are captured effectively. Generally, the present results justify that to calculate grid-cell ADRF at a large scale using the SBDART model with observational aerosol optical properties and reanalysis data is an effective approach. 相似文献
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北京晴天紫外波段气溶胶光学厚度反演与分析 总被引：4，自引：1，他引：4
利用太阳一大气紫外光谱辐射计(SAUVS)，测量到达北京地表的太阳直接和散射紫外光谱辐射，给出反演大气气溶胶光学厚度的一种方法。结果表明：在紫外波段，大气气溶胶的光学厚度随波长的增加而单调减小，用指数函数可以很好地拟合反演结果。统计得到了3个水平能见度状况下拟合函数的系数值，与全球气溶胶监测网络(AERONET)北京站的资料对比，表明反演结果基本合理。 相似文献