Stratus and Fog Products Using GOES-8–9 3.9-μm Data
Stratus and Fog Products Using GOES-8–9 3.9-μm Data
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DOI：
10.1175/1520-0434(1997)012
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发表时间：
1997-09
影响因子：
2.9
通讯作者：
Thomas F. Lee;F. Turk;K. Richardson
中科院分区：
文献类型：
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作者：
Thomas F. Lee;F. Turk;K. Richardson
摘要利用GOES-8-9成像仪的数据，本文讨论了一致的，全天候的图像产品，可以跟踪低，层状云的运动和演变的潜力。特别是，本文讨论了如何基于短波（3.9 μm）和长波（10.7 μm）红外通道的双谱图像序列可以为此目的而开发。可以对这些序列设置动画以产生有用的循环。这些技术解决了业务预报员在跟踪低云时面临的几个问题。在夜间，低云通常很难或不可能被探测到，因为在红外图像上，低云与背景的热对比很差。在白天，虽然太阳反射使低层的层状云在GOES可见光图像上变得明亮，但很难将低云与邻近的地面积雪或密集的卷云区分开来。短波红外通道通常在图像上给出低云层的上级描绘，因为水滴产生高得多的反射率。
Abstract Using data from the GOES-8–9 imager, this paper discusses the potential for consistent, around-the-clock image products that can trace the movement and evolution of low, stratiform clouds. In particular, the paper discusses how bispectral image sequences based on the shortwave (3.9 μm) and longwave (10.7 μm) infrared channels can be developed for this purpose. These sequences can be animated to produce useful loops. The techniques address several problems faced by operational forecasters in the tracking of low clouds. Low clouds are often difficult or impossible to detect at night because of the poor thermal contrast with the background on infrared images. During the day, although solar reflection makes low, stratiform clouds bright on GOES visible images, it is difficult to distinguish low clouds from adjacent ground snowcover or dense cirrus overcasts. The shortwave infrared channel often gives a superior delineation of low clouds on images because water droplets produce much higher reflectance...