首页> 外文期刊>Journal of Applied Meteorology and Climatology >A Method to Estimate Vertically Integrated Amounts of Cloud Ice and Liquid and Mean Rain Rate in Stratiform Precipitation from Radar and Auxiliary Data
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A Method to Estimate Vertically Integrated Amounts of Cloud Ice and Liquid and Mean Rain Rate in Stratiform Precipitation from Radar and Auxiliary Data

机译:利用雷达和辅助数据估算层状降水中云冰和液体的垂直积分量和平均降雨率的方法

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摘要

A method to retrieve total vertical amounts of cloud liquid and ice in stratiform precipitating systems is described. The retrievals use measurements from the vertically pointing K_a- and W-band cloud radars operated by the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) Program and auxiliary measurements from a scanning National Weather Service radar and a ground-based disdrometer. Separation between the cloud liquid and rain is based on estimations of the total attenuation of millimeter-wavelength radar signals in the liquid hydrometeor layer. Disdrometer measurements are used for the retrieval constraints. Because the liquid phase hydrometeor retrievals use only differential measurements, they are immune to the absolute radar calibration uncertainties. Estimates of the ice cloud phase are performed using empirical relations between absolute radar reflectivity and ice water content. Data from the nearby scanning weather-service radar, which operates at a lower frequency, are used to correct cloud radar measurements observed above the freezing level for attenuation caused by the layers of liquid and melting hydrometeors and also by wet radomes of cloud radars. Polarimetric and vertical Doppler measurements from ARM cloud radarsprovide a distinct separation between regions of liquid and ice phases, and therefore the corresponding retrievals are performed in each region separately. The applicability of the suggested method is illustrated for a stratiform precipitation event observed at the ARM Southern Great Plains facility. Expected uncertainties for retrievals of cloud liquid water path are estimated at about 200-250 g m~(-2) for typical rainfall rates observed in stratiform systems (-3-4 mm h~(-1)). These uncertainties increase as rainfall rate increases. The ice water path retrieval uncertainties can be as high as a factor of 2.
机译:描述了一种在层状沉淀系统中检索云液体和冰的总垂直量的方法。检索使用美国能源部大气辐射测量(ARM)计划运营的垂直指向的K_a和W波段云雷达的测量结果以及来自扫描的国家气象局雷达和地面测速仪的辅助测量结果。云液和雨之间的分离是基于对液态水凝结层中毫米波雷达信号总衰减的估计。测速仪的测量结果用于检索约束。由于液相水凝物反演仅使用差分测量,因此不受绝对雷达校准不确定性的影响。利用绝对雷达反射率和冰水含量之间的经验关系对冰云阶段进行估算。来自附近以较低频率运行的气象服务扫描雷达的数据将用于校正在冻结水平以上观测到的云雷达测量值,以消除由液态和熔融水凝物层以及云雷达的湿雷达罩引起的衰减。来自ARM云雷达的极化和垂直多普勒测量提供了液相和冰相区域之间的明显分隔,因此,在每个区域中分别执行相应的检索。说明了所建议方法的适用性,该方法适用于在ARM南部大平原工厂观测到的层状降水事件。对于在层状系统(-3-4 mm h〜(-1))中观测到的典型降雨率,估计的云水路径的预期不确定性约为200-250 g m〜(-2)。这些不确定性随着降雨率的增加而增加。冰水路径检索的不确定性可能高达2倍。

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