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Verification of the Road Weather Forecast System Run During the 2003 Demonstration at the Towa Department of Transportation

机译:验证铁路运输部2003年示范中的道路天气预报系统

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The Road Weather Forecast System (RWFS) was developed by the National Center for Atmospheric Research (NCAR) for the FHWA's winter road maintenance decision support system (MDSS) project The RWFS, which is based on a data fusion technology that NCAR previously developed for general weather forecast applications, was reconfigured to generate specific forecasts for winter road maintenance routes by supplying this information to the U.S. Army Cold Regions Research and Engineering Laboratory's road temperature prediction system and a road condition treatment module developed by Massachusetts Institute of Technology's Lincoln Laboratory. For such a system to provide useful information to road maintenance personnel, it must provide accurate forecasts of the weather and translate that to a reasonable representation of its impact on the road surface. The RWFS attempts to objectively maximize forecast accuracy (minimize error) by blending output from standard and research numerical models with surface observations and statistical regressions. Tuning of the system is done through comparison of model output with surface observations from National Weather Service meteorological aeronautical report (METAR) sites and Iowa Department of Transportation (DOT) road weather information system (RWIS) sites to provide optimized forecasts of bom standard weather and extended highway parameters (e.g., road temperature) for departments of transportation. Overall verification results from the first Iowa DOT RWFS demonstration are presented. Accuracy of RWFS forecasts of air temperature and precipitation type are examined through comparison with METAR and RWIS observations. Road temperature forecasts resulting from the application of MDSS recommended road treatments (plowing, salting) are compared with RWIS measurements of road temperature. A case study from a light snow event is presented to demonstrate some error sources and to compare MDSS recommended and actual Iowa DOT treatments.
机译:Road天气预报系统(RWFS)是由国家大气研究中心开发的,为FHWA的冬季道路维护决策支持系统(MDSS)项目项目的RWFS,这是基于NCAR以前为一般开发的数据融合技术天气预报应用程序,通过向美国陆军冷地研究和工程实验室的道路温度预测系统提供这些信息,为冬季道路维护路线提供特定预测,由Massachusetts理工学院林肯实验室开发的道路状况处理模块。对于这样的系统提供有用的道路维护人员提供有用的信息,它必须为天气提供准确的预测,并将其转化为其对路面影响的合理表示。 RWFS试图通过使用表面观测和统计回归的标准和研究数值模型混合输出来客观地最大化预测精度(最小化错误)。系统的调整是通过使用国家天气服务气象航空报告(MOTAR)地点和IOWA运输部(DOT)道路天气信息系统(RWIS)网站的地表检测的模型输出进行完成的,以提供对BOM标准天气的优化预测交通部门的扩展公路参数(例如,道路温度)。提出了第一款IOWA DOT RWFS示范的整体验证结果。通过与Metar和Rwis观测的比较,检查RWFS预测的rwfs的空气温度和降水类型。利用MDSS推荐的道路治疗(耕种,盐渍)与道路温度的测量值相比,由MDSS推荐道路治疗的道路温度预测。提出了一种浅滩事件的案例研究来展示一些错误来源,并比较MDSS推荐和实际的IOWA DOT治疗。

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