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| 基于多源遥感数据的气溶胶类型识别模型研究 | |
| 其他题名 | Research on aerosol type recognition model based on multi - source remote sensing data |
| 徐彬仁 | |
| 出版年 | 2017 |
| 学位类型 | 硕士 |
| 导师 | 程天海 |
| 学位授予单位 | 中国科学院大学 |
| 中文摘要 | 由于目前对不同类型气溶胶特性及其时空变化规律缺乏充分了解，导致气溶胶成为全球气候变化研究中最主要的不确定因素，因此研究不同类型气溶胶的特性及时空变化规律已成为全球气候变化领域的热点问题。在这样的背景下，本文基于多源遥感卫星气溶胶产品研究了全球海洋地区不同气溶胶类型的时空变化规律以及对云的影响，论文主要内容分为以下四个方面：（1）本文将Kaufman（2005）的气溶胶分类典型区域阈值法与Kim（2007）的MODIS-OMI（MOA）气溶胶分类模型相结合，提出了基于气溶胶特性多源卫星遥感产品的分类模型（K-MOA）。将全球海洋典型区域的气溶胶类型分为硫酸盐、碳类、沙尘和海盐气溶胶。其中，大气气溶胶数据选取的是中分辨率成像光谱仪（MODerate-resolution Imaging Spectroradiometer, MODIS）的气溶胶光学厚度（AOD）和气溶胶细粒子模态比（FMF）以及臭氧检测仪（Ozone Monitoring Instrument，OMI）的紫外气溶胶吸收指数（AI）。（2）基于欧洲中尺度预报中心提供的气溶胶类型再分析资料对本模型的分类结果进行验证。通过选取全球海洋4个典型区域（南太平洋、热带南大西洋、热带北大西洋和东亚海域的北太平洋）的气溶胶分类结果与再分析资料对应的气溶胶类型进行对比验证，证明了K-MOA模型的可靠性。（3）基于全球海洋地区10年（2006-2015）气溶胶特性多源遥感数据集，利用K-MOA模型研究了全球海洋地区不同类型气溶胶的时空变化规律。研究发现，在6-8月份，全球海洋地区气溶胶类型最为复杂。其中，受北美夏季森林火灾的影响，北美海洋地区以碳类气溶胶为主。在30°N-60°N之间的海洋地区，硫酸盐气溶胶居多。而热带北大西洋地区受撒哈拉沙漠影响最为显著，形成了一个沙漠气溶胶条带。在9-11月份，受南非地区生物质燃烧的影响，热带南大西洋地区碳类气溶胶空间覆盖范围达到全年中的峰值。而12-5月份，全球海洋地区不同气溶胶类型相对简单。（4）基于全球海洋不同气溶胶类型时空分布数据集定量分析了不同气溶胶类型对云微物理和光学特性的影响。研究发现，在AOD<0.3时，海盐气溶胶对云滴半径（CER）的Tommy效应最明显，在AOD>0.3时， 所有类型气溶胶对CER的Tommy效应变弱。在研究气溶胶对云光学厚度（COD）的影响时发现，海盐气溶胶对应的COD总是最小，但随着AOD的变化斜率最大；相比其他类型气溶胶，碳类气溶胶抑制云光学厚度最明显（斜率最小），表明其强吸收的特性。 |
| 英文摘要 | Due to the lack of sufficient understanding of the characteristics of different types of aerosols and their temporal and spatial changes, aerosols have become the most important uncertainties in global climate change research. Therefore, the study of the characteristics of different types of aerosols and the law of spatiotemporal variation have become global climate change hotspot in the field. In this background, this paper studies the temporal and spatial variation of different aerosol types and the influence on the cloud in the global marine area based on the multi-source remote sensing satellite aerosol products. The main contents of this paper are as follows:(1) In this paper, the aerosol classification typical region threshold method of Kaufman (2005) is combined with the MODIS-OMI (MOA) aerosol classification model of Kim (2007), and a classification model based on aerosol multi-source satellite remote sensing product is proposed (K-MOA). The aerosol types of the global marine typical regions are classified into sulphate, carbon, dust and sea salt aerosols. Among them, aerosol optical thickness (AOD) and aerosol fine particle modal fraction (FMF) of the medium resolution imaging spectrometer (MODIS) were selected for atmospheric aerosol data, and the Ozone Monitoring Instrument (Ozone Monitoring Instrument, OMI) of the UV aerosol absorption index (AI).(2) Based on the aerosol type reanalysis data provided by the European Mesoscale Forecast Center, the classification results of this model are validated. The aerosol classification results of the four typical regions of the global ocean (the South Pacific, the tropical South Atlantic, the tropical North Atlantic and the East Pacific of the East Asia) are compared with the aerosol types corresponding to the reanalysis data. The reliability of the K-MOA model is proved.(3) Based on the aerosol characteristics of the global oceanic region for 10 years (2006-2015), the K-MOA model was used to study the spatiotemporal variation of different types of aerosols in the global marine area. The study found that in June-August, the global ocean area aerosol type is the most complex. Among them, by the North American summer forest fire, the North American marine areas are mainly fluenced by carbon aerosols. In the marine area between 30 ° N and 60 ° N, the majority of aerosols are sulfate aerosols. And the tropical North Atlantic region is most affected by the Sahara Desert, forming a desert aerosol strip. In September-November, the carbon-aerosol space coverage in the tropical Southern Atlantic region reached the peak in the year due to the impact of biomass burning in South Africa. From December to May, different types of aerosols over the global marine areas is relatively simple.(4) The influence of different aerosol types on the microphysical and optical properties of the cloud was quantitatively analyzed based on the spatial and temporal distribution data of different aerosol types in the global ocean. It was found that the Tommy effect of sea salt aerosol on cloud droplet radius (CER) was the most obvious at AOD <0.3, and the Tommy effect of all types of aerosols was weakened at AOD> 0.3. The effect of aerosol on the optical thickness (COD) of aerosols was studied. It was found that the corresponding COD of sea salt aerosol was the lowest, but the slope of AOD was the largest. Compared with other types of aerosols, carbon aerosols inhibit cloud optical thickness most obviously (the slope is minimal), indicating its strong absorption characteristics. |
| 中文关键词 | 多源卫星数据 ; 气溶胶分类 ; 云滴有效半径 ; 云光学厚度 |
| 英文关键词 | multi-source satellite data aerosol classification cloud droplet effective radius cloud optical thickness |
| 语种 | 中文 |
| 国家 | 中国 |
| 来源学科分类 | 电子与通信工程 |
| 来源机构 | 中国科学院遥感与数字地球研究所 |
| 资源类型 | 学位论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/288026 |
| 推荐引用方式 GB/T 7714 | 徐彬仁. 基于多源遥感数据的气溶胶类型识别模型研究[D]. 中国科学院大学,2017. |
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