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Changes in Aerosol Optical and Micro-Physical Properties over Northeast Asia from a Severe Dust Storm in April 2014

机译:2014年4月沙尘暴对东北亚气溶胶光学和微物理性质的影响

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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.
机译:这项研究的重点是分析2014年4月源自塔克拉玛干沙漠的被称为“中国沙尘长城”的沙尘暴引起的气溶胶特性变化。FY-2E的IDDI(红外差异粉尘指数)图像和真彩色合成图像FY-3C MERSI(中分辨率光谱成像仪)的影像显示了沙尘暴的爆发和传播路径。来自MICAPS(气象信息综合分析和过程系统)的三个小时的地面测量结果表明,占据新疆南部盆地的反气旋环流和蒙古的气旋环流形成了偶极子压力系统,导致强西北风(13.7–20 m / s) ),这有助于爆发沙尘暴。 IDDI结果表明,沙尘暴爆发是在4月23日世界标准时间(UTC)〜2:00在塔克拉玛干沙漠中发生的。使用HYSPLIT(混合单粒子拉格朗日综合轨迹)模型进行的四天前向空气质量轨迹给出了粉尘传输路径和粉尘垂直分布的模拟结果,这些结果与从CALIPSO得出的相应气溶胶垂直分布一致。 FY-3B上的TOU(臭氧总单位)的气溶胶指数(AI)数据首先用于研究受沙尘暴影响的区域。从AI的结果来看,受尘埃影响的地区与天气气象条件分析吻合得很好,这表明天气气象条件是沙尘暴爆发和传播的主要原因。计算沙尘暴期间东北亚平均MODIS(中等分辨率成像光谱仪)AOD(气溶胶光学深度)分布与2010年至2014年4月平均值的异常。结果表明,在4月23日至4月25日之间的尘土飞扬的日子,气溶胶负荷很高,空间平均异常率为121%。气溶胶机器人网络(AERONET)对VSD(体积大小分布)和SSA(单散射反照率)的反演表明,虽然更靠近尘埃源的Dalanzadgad的气溶胶性质主要受粗尘埃颗粒的影响,但其中的气溶胶性质却受到影响。北京的主要原因是细小尘埃颗粒,这些尘埃颗粒在较长的距离内和在较高的大气层中传播。

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