首页> 外文期刊>Pure and Applied Geophysics >Analysis of Fog Probability from a Combination of Satellite and Ground Observation Data
【24h】

Analysis of Fog Probability from a Combination of Satellite and Ground Observation Data

机译:结合卫星和地面观测数据分析雾的可能性

获取原文
获取原文并翻译 | 示例
           

摘要

The Cloud Type product, developed by the Satellite Application Facility to support to nowcasting and very short-range forecasting (SAFNWC) of EUMETSAT and based on Météosat-8/SEVIRI, identifies cloud categories, and especially low and very low clouds which are first estimates of areas where fog is likely to occur. This cloud type is combined with precipitation information from radar data and with hourly diagnostic analyses of 2-metre relative humidity and 10-metre wind to elaborate an hourly analysis of fog probability. This analysis provides four levels of fog probability with a 3-kilometre horizontal resolution: No risk, low-level risk, medium-level risk and high-level risk. An evaluation of such fog probability analyses versus a one-year set of French hourly SYNOP reports shows encouraging results (potential of detection = 0.73 for low and medium and high-level risks), even if false alarm ratios remain high. Most of the non-detections occur at twilight and are due to satellite non-detections. Eventually, we show case studies that clearly illustrate the high potential of the method.
机译:卫星应用设施开发的“云型”产品支持EUMETSAT的临近预报和超短距离预报(SAFNWC),并基于Météatat-8/ SEVIRI进行了识别,确定了云类别,尤其是低云和极低云,这是首次估算可能会出现雾的区域。这种云类型与来自雷达数据的降水信息以及对2米相对湿度和10米风的每小时诊断分析相结合,以详细分析每小时的雾可能性。该分析提供了3级水平分辨率的四个级别的雾可能性:无风险,低风险,中风险和高风险。相对于一年的一组法国每小时SYNOP报告,对这种雾发生概率分析的评估显示出令人鼓舞的结果(对于低,中,高级别风险,检测潜力​​= 0.73),即使错误警报率仍然很高。大多数未检测到发生在黄昏时,是由于卫星未检测到。最终,我们将通过案例研究清楚地说明该方法的巨大潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号