Changes in aerosol optical and micro-physical properties over Northeast Asia from a severe dust storm in April 2014
文献类型：期刊论文
| 作者 | Fang, Li1; Wang, Shupeng1; Yu, Tao1; Gu, Xingfa1; Zhang, Xingying1; Wang, Weihe1; Ren, Suling1 |
| 刊名 | Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:5 |
| 关键词 | REFLECTANCE FUSION MODEL ARTIFICIAL NEURAL-NETWORKS INNER-MONGOLIA ABOVEGROUND BIOMASS SURFACE REFLECTANCE NORTHERN CHINA TM DATA CLASSIFICATION COVER GENERATION |
| 通讯作者 | Wang, Shupeng (wangsp@cma.gov.cn) |
| 英文摘要 | This study focuses on analyzing the changes to aerosol properties caused by the dust storm called "China's Great Wall of Dust" that originated from the Taklimakan Desert in April 2014. IDDI (Infrared Difference Dust Index) images from FY-2E and true color composite images from FY-3C MERSI (Medium Resolution Spectral Imager) show the breakout and transport path of the dust storm. Three-hourly ground-based measurements from MICAPS (Meteorological Information Comprehensive Analysis and Process System) suggest that anticyclonic circulation occupying the Southern Xinjiang basin and cyclonic circulation in Mongolia form a dipole pressure system that leads to strong northwesterly winds (13.7-20 m/s), which favored the breakout of the dust storm. IDDI results indicate that the dust storm breakout occurred at ~2:00 UTC on 23 April in the Taklimakan Desert. Four-day forward air mass trajectories with the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) model gives the simulation results of the dust transport paths and dust vertical distributions, which are consistent with the corresponding aerosol vertical distributions derived from CALIPSO. The Aerosol Index (AI) data of TOU (Total Ozone Unit) aboard FY-3B are first used to study the areas affected by the dust storm. From the AI results, the dust-affected areas agree well with the synoptic meteorological condition analysis, which supports that the synoptic meteorological conditions are the main reason for the breakout and transport of the dust storm. Anomalies of the average MODIS (Moderate Resolution Imaging Spectroradiometer) AOD (Aerosol Optical Depth) distributions over northeast Asia during the dust storm to the average of the values in April between 2010 and 2014 are calculated as a percent. The results indicate high aerosol loading with a spatially-averaged anomaly of 121% for dusty days between 23 April and 25 April. Aerosol Robotic Network (AERONET) retrievals of VSD (Volume Size Distribution) and SSA (Single Scattering Albedo) show that while the aerosol properties in Dalanzadgad, which is closer to the dust source, were influenced primarily by coarse dust particles, the aerosol properties in Beijing were mostly contributed by fine dust particles that transported over longer distances and at high atmospheric levels. © 2016 by the authors. |
| 学科主题 | Remote Sensing |
| 类目[WOS] | Remote Sensing |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20162302468708 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39212]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100101, China 3. National Satellite Meteorological Center, China Meteorological Administration, Beijing 4.100081, China |
| 推荐引用方式 GB/T 7714 | Fang, Li,Wang, Shupeng,Yu, Tao,et al. Changes in aerosol optical and micro-physical properties over Northeast Asia from a severe dust storm in April 2014[J]. Remote Sensing,2016,8(5). |
| APA | Fang, Li.,Wang, Shupeng.,Yu, Tao.,Gu, Xingfa.,Zhang, Xingying.,...&Ren, Suling.(2016).Changes in aerosol optical and micro-physical properties over Northeast Asia from a severe dust storm in April 2014.Remote Sensing,8(5). |
| MLA | Fang, Li,et al."Changes in aerosol optical and micro-physical properties over Northeast Asia from a severe dust storm in April 2014".Remote Sensing 8.5(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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