首页> 外文期刊>Journal of Applied Meteorology and Climatology >Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development
【24h】

Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development

机译:基于视频测速仪观测值的指数雨滴分布截距参数诊断:模型开发

获取原文
获取原文并翻译 | 示例
           

摘要

The exponential distribution N(D) = N0 exp(- Lambda D) with a fixed intercept parameter N0 is most commonly used to represent raindrop size distribution (DSD) in rainfall estimation and in single-moment bulk microphysics parameterization schemes. Disdrometer observations show that the intercept parameter is far from constant and systematically depends on the rain type and intensity. In this study, a diagnostic relation of N0 as a function of rainwater content W is derived based on two-dimensional video disdrometer (2DVD) measurements. The data reveal a clear correlation between N0 and W in which N0 increases as W increases. To minimize the effects of sampling error, a relation between two middle moments is used to derive the N0-W relation. This diagnostic relation has the potential to improve rainfall estimation and bulk microphysics parameterizations. A parameterization scheme for warm rain processes based on the diagnostic N0 DSD model is formulated and presented. The diagnostic N0-based parameterization scheme yields less evaporation and accretion for stratiform rain than that using fixed N0.
机译:具有固定截距参数N0的指数分布N(D)= N0 exp(-Lambda D)最常用于表示降雨估计和单矩体微物理参数化方案中的雨滴大小分布(DSD)。测速仪的观测表明,截距参数不是恒定的,而是系统地取决于降雨的类型和强度。在这项研究中,根据二维视频测速仪(2DVD)测量,得出N0与雨水含量W的函数的诊断关系。数据揭示了N0与W之间存在明显的相关性,其中N0随着W的增加而增加。为了最小化采样误差的影响,两个中间矩之间的关系用于导出N0-W关系。这种诊断关系有可能改善降雨估计和整体微物理参数化。提出并提出了基于诊断N0 DSD模型的暖雨过程参数化方案。与基于固定N0的参数相比,基于N0的诊断性参数化方案可减少层状雨的蒸发和积聚。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号