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A Tale of Two Dust Storms: analysis of a complex dust event in the Middle East

机译:两种尘暴的故事:分析中东的复杂尘埃事件

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Lofted mineral dust over data-sparse regions presents considerable challenges to satellite-based remote sensing methods and numerical weather prediction alike. The southwest Asia domain is replete with such examples, with its diverse array of dust sources, dust mineralogy, and meteorologically driven lofting mechanisms on multiple spatial and temporal scales. A microcosm of these challenges occurred over 3-4 August 2016 when two dust plumes, one lofted within an inland dry air mass and another embedded within a moist air mass, met over the southern Arabian Peninsula. Whereas conventional infrared-based techniques readily detected the dry air mass dust plume, they experienced marked difficulties in detecting the moist air mass dust plume, becoming apparent when visible reflectance revealed the plume crossing over an adjacent dark water background. In combining information from numerical modeling, multi-satellite and multi-sensor observations of lofted dust and moisture profiles, and idealized radiative transfer simulations, we develop a better understanding of the environmental controls of this event, characterizing the sensitivity of infrared-based dust detection to column water vapor, dust vertical extent, and dust optical properties. Differences in assumptions of dust complex refractive index translate to variations in the sign and magnitude of the split-window brightness temperature difference commonly used for detecting mineral dust. A multi-sensor technique for mitigating the radiative masking effects of water vapor via modulation of the split-window dust-detection threshold, predicated on idealized simulations tied to these driving factors, is proposed and demonstrated. The new technique, indexed to an independent description of the surface-to-500 hPa atmospheric column moisture, reveals parts of the missing dust plume embedded in the moist air mass, with the best performance realized over land surfaces.
机译:Data-Sparmase地区的Lofted矿物粉尘对卫星的遥感方法和数值天气预报相同呈现相当大的挑战。西南亚洲领域正在用这样的例子提供各种灰尘源,灰尘矿物学,以及在多个空间和时间尺度上的多种灰尘来源和气象驱动的宽松机构。这项挑战的微观微观可能发生在2016年8月3日至4日,当时内陆干燥空气质量和另一个嵌入在潮湿的空气质量内,在南部的阿拉伯半岛遇见。虽然传统的红外技术容易检测到干燥空气粉尘羽流,但它们在检测潮湿的空气尘困境时经历了显着的困难,当可见的反射率揭示了衬底的暗水背景上的羽流过桥时变得明显。在从数值建模,多卫星和多传感器观测的信息组合,以及理想化的辐射转移模拟中,我们更好地了解了这种事件的环境控制,其特征是基于红外灰尘检测的灵敏度到柱水蒸气,灰尘垂直范围和灰尘光学性能。灰尘复杂折射率假设的差异转化为常用于用于检测矿物粉尘的分裂窗亮度温度差异的符号和幅度的变化。提出并证明了一种通过调制分裂窗口灰尘检测阈值来减轻水蒸气辐射掩蔽水蒸气的多传感器技术,并证明了与这些驱动因子相关的理想化模拟。新技术,对表面为500 HPA大气柱水分的独立描述,揭示了嵌入在潮湿空气质量中的缺失的粉尘羽流的部分,具有在陆地表面上实现的最佳性能。

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