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On the statistical relationship between cloud optical and microphysical characteristics and rainfall intensity for convective storms over the Mediterranean

机译:地中海对流风暴的云光学和微物理特征与降雨强度之间的统计关系

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The relationship between the multi-spectral cloud field characterization from the Advanced Very High Resolution Radiometer (AVHRR) and the rainfall intensities from the Advanced Microwave Sounding Unit-module B (AMSU-B) data were studied for a convective storm event, which occurred during the first 15 days of June 2007 over the Mediterranean. The cloud products exploited in this analysis, cloud mask, type, optical thickness, and effective radius, are obtained from the NOAA-NESDIS operational processing system Clouds from the AVHRR-Extended algorithm (CLAVR-x), whereas the rain intensity values are retrieved from the AMSU-B brightness temperatures via a fast algorithm, using opaque frequencies (centred at 183 GHz) to correct for the presence of water vapour affecting the retrieval results. The algorithm is conceived to discriminate between convective and stratiform rain using a suitable set of thresholds; the retrieval is subsequently carried out separately for the two types. A test for the discrimination of precipitating from non-precipitating areas was based on the comparison between the precipitation information and the retrieved cloud parameters. The test produced a cloud optical thickness threshold value, beyond which the precipitation initiates, and an effective radius range for the identification of the precipitating clouds. The results stemming from the application of the test to the June 2007 case study are very encouraging, although still preliminary and restricted to the analyzed Mediterranean storms. In particular, the test shows high potential for delineating non-precipitating areas (more than 90% of successful cases for every considered cloud type) and to identify precipitating ice clouds related to convective rain (confirmed by 82% of hits). On the other hand, the relative inability to address the stratiform cloud systems is proved by the fact that the majority of the missed cases, for each cloud types, is characterized by light rain intensities (< 3 mm h(-1)).
机译:对于一次对流风暴事件,研究了超高分辨率高分辨率辐射计(AVHRR)的多光谱云场表征与先进微波探测单元模块B(AMSU-B)数据的降雨强度之间的关系。 2007年6月的前15天在地中海上空。此分析中使用的云产品,云遮罩,类型,光学厚度和有效半径是从NOAA-NESDIS运算处理系统中获得的,而云则是从AVHRR扩展算法(CLAVR-x)中获得的,而雨水强度值则被检索到通过不透明的频率(以183 GHz为中心),通过快速算法从AMSU-B亮度温度中得到的值,以校正影响检索结果的水蒸气的存在。该算法旨在使用合适的阈值来区分对流雨和层状雨。随后针对这两种类型分别进行检索。基于降水信息与检索到的云参数之间的比较,对来自非降水区域的降水进行判别测试。该测试产生了云光学厚度阈值(超过该阈值将引发降水),以及一个有效半径范围,用于识别正在沉淀的云。尽管该测试仍是初步的,并且仅限于分析过的地中海风暴,但将测试应用于2007年6月的案例研究的结果令人鼓舞。特别是,该测试显示出划定非降水区域(每种考虑的云类型成功案例的90%以上)和识别与对流雨有关的降水冰云的潜力很高(由82%的命中率证实)。另一方面,以下事实证明了相对无法解决层状云系统的事实:对于每种云类型,大多数漏失案例的特征是小雨强度(<3 mm h(-1))。

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