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Concept, Simulation, and Instrumentation for Radiometric Inflight Icing Detection

机译:辐射式飞机结冰检测的概念,仿真和仪器

摘要

The multi-agency Flight in Icing Remote Sensing Team (FIRST), a consortium of the National Aeronautics and Space Administration (NASA), the Federal Aviation Administration (FAA), the National Center for Atmospheric Research (NCAR), the National Oceanographic and Atmospheric Administration (NOAA), and the Army Corps of Engineers (USACE), has developed technologies for remotely detecting hazardous inflight icing conditions. The USACE Cold Regions Research and Engineering Laboratory (CRREL) assessed the potential of onboard passive microwave radiometers for remotely detecting icing conditions ahead of aircraft. The dual wavelength system differences the brightness temperature of Space and clouds, with greater differences potentially indicating closer and higher magnitude cloud liquid water content (LWC). The Air Force RADiative TRANsfer model (RADTRAN) was enhanced to assess the flight track sensing concept, and a 'flying' RADTRAN was developed to simulate a radiometer system flying through simulated clouds. Neural network techniques were developed to invert brightness temperatures and obtain integrated cloud liquid water. In addition, a dual wavelength Direct-Detection Polarimeter Radiometer (DDPR) system was built for detecting hazardous drizzle drops. This paper reviews technology development to date and addresses initial polarimeter performance.
机译:由多机构组成的结冰遥感飞行队(FIRST),国家航空航天局(NASA),联邦航空局(FAA),国家大气研究中心(NCAR),国家海洋学和大气联盟美国政府(NOAA)和美国陆军工程兵团(USACE)已开发出可远程检测危险飞机结冰状况的技术。 USACE寒冷地区研究与工程实验室(CRREL)评估了机载无源微波辐射计在远程检测飞机前方结冰情况方面的潜力。双波长系统会区别空间和云的亮度温度,而更大的差异可能表示云水的液态水含量(LWC)越来越高。增强了空军RADiative TRANsfer模型(RADTRAN)以评估飞行轨迹感测概念,并开发了“飞行中”的RADTRAN以模拟在模拟云中飞行的辐射计系统。开发了神经网络技术来反转亮度温度并获得集成的云状液态水。此外,还建立了双波长直接检测偏振计辐射计(DDPR)系统,用于检测危险的毛毛雨滴。本文回顾了迄今为止的技术发展并讨论了偏振计的初始性能。

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