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The infrared spectral signature of volcanic ash determined from high-spectral resolution satellite measurements

机译:从高光谱分辨率卫星测量中确定的火山灰的红外光谱特征

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摘要

High-spectral resolution infrared spectra of the earth's atmosphere and surface are routinely available from satellite sensors, such as the Atmospheric Infrared Sounder (AIRS) and the Infrared Atmospheric Sounding Interferometer (IASI). We exploit the spectral content of AIRS data to demonstrate that airborne volcanic ash has a unique signature in the infrared (8-12 mu m) that can be used to infer particle size, infrared opacity and composition. The spectral signature is interpreted with the aid of a radiative transfer model utilizing the optical properties of andesite, rhyolite and quartz. Based on the infrared spectral signature, a new volcanic ash detection algorithm is proposed that can discriminate volcanic ash from other airborne substances and we show that the algorithm depends on particle size, optical depth and composition. The new algorithm has an improved sensitivity to optically thin ash clouds, and hence can detect them for longer (similar to 4 days) and at greater distances from the source(similar to 5000 km).
机译:通常可以从卫星传感器(如大气红外测深仪(AIRS)和红外大气测深干涉仪(IASI))获得地球大气和地面的高光谱分辨率红外光谱。我们利用AIRS数据的光谱内容来证明机载火山灰在红外(8-12微米)中具有独特的特征,可用于推断粒径,红外不透明性和组成。在利用安山岩,流纹岩和石英的光学特性的辐射转移模型的帮助下解释光谱特征。在红外光谱特征的基础上,提出了一种新的火山灰检测算法,可以将火山灰与其他空气中的物质区分开,并证明该算法取决于颗粒大小,光学深度和成分。新算法提高了对光学薄灰云的敏感度,因此可以检测到更长的时间(大约4天)和距源更远的距离(大约5000 km)。

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