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首页> 外文期刊>Journal of hydrometeorology >Investigating the Ice Water Path in Convective Cloud Life Cycles to Improve Passive Microwave Rainfall Retrievals
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Investigating the Ice Water Path in Convective Cloud Life Cycles to Improve Passive Microwave Rainfall Retrievals

机译:研究对流云生命周期中的冰水路径,以改善无源微波降雨的获取

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This study focuses on the possible relationship between ice water path (IWP) retrievals using highfrequency channels (89 and 150GHz) from the Advanced Microwave Sounding Unit-B and Moisture Humidity Sounder sensors (NOAA-16-NOAA-19) and the life cycle stage of convective clouds. In the first part of this study, the relationship between IWP and the cloud area expansion rate is analyzed using the 235-K isotherm from Geostationary Operational Environmental Satellite-12 (GOES-12) thermal infrared images (10.7mm). Next, the relationships between cloud convective fraction, rain rates (from ground radar), and cloud life cycle are analyzed. The selected area and time period coincide with the research activities of the Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud Resolving Modeling and to the Global Precipitation Measurement (CHUVA)-Geostationary Lightning Mapper (GLM) project at S?o José dos Campos, Brazil. The results show that 84% of precipitating clouds contain ice, according to the Microwave Surface and Precipitation Products System (MSPPS) algorithm. Convective systems in the intensifying stage (when the area is expanding and the minimum temperature is decreasing) tend to have larger IWPs than systems in the dissipating stage. Larger rain rates and convective fractions are also observed from radar retrievals in the early stage of convection compared with mature systems. Hydrometeor retrieval data from polarimetric X-band radar suggest that particle effective diameter D_e and IWP patterns inferred with the MSPPS algorithm could be used to determine the life cycle stage of a given convective system. Using this information, a new set of equations is evaluated for rainfall retrievals using D_e and IWP from the current retrieval algorithm. This new approach outperforms the current algorithm in the studied region.
机译:这项研究的重点是使用高级微波探测单元B和水分湿度探测仪传感器(NOAA-16-NOAA-19)的高频通道(89和150GHz)检索冰水路径(IWP)与生命周期阶段之间的可能关系对流云。在本研究的第一部分中,使用对地静止作战环境卫星12(GOES-12)的红外热像(10.7mm)中的235-K等温线分析了IWP与云面积扩展率之间的关系。接下来,分析了云对流分数,降雨率(来自地面雷达)和云生命周期之间的关系。选定的区域和时间段与巴西主要降水系统的云过程的研究活动相吻合:对云解析模型和全球降水量测量(CHUVA)-地球静止闪电测绘仪(GLM)项目的贡献巴西Josédos Campos。结果表明,根据微波表面和降水产品系统(MSPPS)算法,有84%的降水云都含有冰。强化阶段(面积扩大且最低温度降低)下的对流系统往往具有比散发阶段的对流系统更大的IWP。与成熟系统相比,在对流初期,从雷达取回中还观察到较大的降雨率和对流分数。来自极化X波段雷达的水文气象探测数据表明,用MSPPS算法推断的粒子有效直径D_e和IWP模式可用于确定给定对流系统的生命周期阶段。利用这些信息,可以使用当前检索算法中的D_e和IWP评估一套新的降雨检索公式。在研究区域中,这种新方法的性能优于当前算法。

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