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首页> 外文期刊>Journal of hydrometeorology >A Field Study of Pixel-Scale Variability of Raindrop Size Distribution in the Mid-Atlantic Region
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A Field Study of Pixel-Scale Variability of Raindrop Size Distribution in the Mid-Atlantic Region

机译:大西洋中部雨滴大小分布的像素尺度变异性实地研究

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The spatial variability of parameters of the raindrop size distribution and its derivatives is investigated through a field study where collocated Particle Size and Velocity (Parsivel 2) and two-dimensional video disdrometers were operated at six sites at Wallops Flight Facility, Virginia, from December 2013 to March 2014. The three-parameter exponential function was employed to determine the spatial variability across the study domain where the maximum separation distance was 2.3 km. The nugget parameter of the exponential function was set to 0.99 and the correlation distance d(0) and shape parameter s(0) were retrieved by minimizing the root-mean-square error, after fitting it to the correlations of physical parameters. Fits were very good for almost all 15 physical parameters. The retrieved d(0) and s(0) were about 4.5 km and 1.1, respectively, for rain rate (RR) when all 12 disdrometers were reporting rainfall with a rain-rate threshold of 0.1mmh 21 for 1-min averages. The d(0) decreased noticeably when one or more disdrometers were required to report rain. The d(0) was considerably different for a number of parameters (e.g., mass-weighted diameter) but was about the same for the other parameters (e.g., RR) when rainfall threshold was reset to 12 and 18 dBZ for Ka- and Ku-band reflectivity, respectively, following the expected Global Precipitation Measurement mission's spaceborne radar minimum detectable signals. The reduction of the database through elimination of a site did not alter d(0) as long as the fit was adequate. The correlations of 5-min rain accumulations were lower when disdrometer observations were simulated for a rain gauge at different bucket sizes.
机译:通过现场研究调查了雨滴尺寸分布及其导数的参数的空间变异性,该研究于2013年12月在弗吉尼亚州Wallops Flight Facility的六个地点运行,并置了粒径和速度(Parsivel 2)和二维视频测速仪到2014年3月。采用三参数指数函数确定整个研究领域的空间变异性,最大分离距离为2.3 km。将指数函数的块参数设置为0.99,并将其与物理参数的相关性拟合后,通过最小化均方根误差来检索相关距离d(0)和形状参数s(0)。几乎所有15个物理参数的拟合度都非常好。当所有12台DDS均报告降雨,降雨率阈值为0.1mmh 21时,对于1分钟平均值,所检索到的d(0)和s(0)分别约为4.5 km和1.1。当需要一个或多个测速仪报告下雨时,d(0)显着下降。对于许多参数(例如,质量加权直径),d(0)显着不同,但是对于Ka和Ku,当降雨阈值重置为12和18 dBZ时,其他参数(例如,RR)大约相同预期的全球降水测量任务的星载雷达最小可探测信号之后的波段反射率。只要适合,通过消除站点来减少数据库不会改变d(0)。当在不同的铲斗尺寸下对雨量计进行里程表观测模拟时,5分钟积雨的相关性较低。

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