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Inferring low cloud base heights at night for aviation using satellite infrared and surface temperature data

机译:利用卫星红外和地面温度数据推断航空夜间的低云底高度

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A nighttime image product that depicts areas of the lowest cloud base heights has been developed by combining brightness temperature data from the Geostationary Operational Environmental Satellite (GOES) Imager InfraRed (IR) bands centered at 3.9 mu m and 10.7 mu m, with hourly shelter temperatures from surface observing sites and offshore marine buoys. A dependent data sample showed a good correlation between the surface temperature minus IR cloud top temperature differences versus measured cloud base heights. Histogram analysis indicated that a temperature difference of less than 4-C related to a > 50% frequency of ceilings below 1000 ft above ground level, the threshold for Instrument Flight Rules (IFR). Using this result as a model, an experimental Low Cloud Base image product was developed that highlights regions of likely IFR ceilings. Validation of the Low Cloud Base product for two separate periods resulted in Probabilities of Detection of 67% and 72% and False Alarm Rates of 6% and 11%, respectively. Some regional variation observed could be related to the relative frequency of multi-layered overcast conditions. The biggest factor leading to underdetection of IFR ceilings by the GOES Low Cloud Base product is the presence of overlying clouds, including thin cirrus contamination. The GOES Low Cloud Base product shows potential for use as guidance for aviation meteorologists over both continental and marine areas.
机译:通过将对地静止运行环境卫星(GOES)成像仪红外(IR)波段的中心温度为3.9μm和10.7μm的亮度温度数据与每小时的掩体温度相结合,开发出了描绘最低云底高度区域的夜间图像产品。来自地面观测站和海上浮标。相关数据样本显示,表面温度减去IR云顶温度差与测得的云底高度之间具有良好的相关性。直方图分析表明,温度差小于4-C与高于地面1000英尺(仪表飞行规则(IFR)的阈值)的天花板频率> 50%有关。使用该结果作为模型,开发了实验性低云量基础图像产品,以突出显示可能存在IFR上限的区域。对低云基础产品进行两个单独的验证期间,检测到的概率分别为67%和72%,误报率分别为6%和11%。观察到的某些区域变化可能与多层阴天气的相对频率有关。导致GOES低云量基础产品漏检IFR天花板的最大因素是存在上层云,包括卷云稀薄污染。 GOES低云量基础产品显示出潜力,可为大陆和海洋地区的航空气象学家提供指导。

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