首页> 外文学位 >Classification and quantification of TRMM radar observations.
【24h】

Classification and quantification of TRMM radar observations.

机译:TRMM雷达观测的分类和量化。

获取原文
获取原文并翻译 | 示例

摘要

A better knowledge of precipitation types and their radar reflectivity structures is important for interpretation of space-borne radar observations as well as microphysical processes for improving satellite precipitation algorithms. The differences in microphysics lead to different reflectivity rain rate relationships for convective and stratiform clouds. While this approach is simple for con vective/stratiform classification to rain profiles and suitable for estimating profiles of latent heating, it does not address a variety of problems. Raindrop size distributions can vary widely within the convective and stratiform categories themselves. Research that goes further into classifying precipitation profiles can bridge this gap.; The fundamental observation of space-borne radar is the vertical profile. All inferences and classifications must start there. Classifying rainfall by the three-dimensional structure of its reflectivity field offers the potential to reduce both random and systematic errors in raindrop size distributions assumed in rainfall retrievals. This research attempts to address the specific and unique problems that exist in the field of space-borne radar observation of precipitation profiles on a global scale. The difficulty in modeling the precipitation profile can be attributed to the lack of validated data on a global scale to guide this work. It is likely that long-term research will be required to fully develop the concepts introduced in this work. This effort only takes the first step in defining such an outline. Extensive experimental verification in a wide range of regions is required to validate the usability of new derived techniques.; The main goal of this research is to use the vertical structure of the observed radar reflectivity field to extend rain-type classification beyond convective/stratiform separation and to define a natural profiles classification that can eventually be related to microphysical variability of precipitation profiles. The classification of precipitation type to convective/stratiform rain type from space-borne precipitation radar observation and 2-dimensional wavelet analysis is first introduced in this research. Subsequently this dissertation includes the study of the classification of the self-organizing map of TRMM-PR rain profiles on a global scale, the global study of bright band structure as well as the study of the variability of raindrop size distribution.
机译:更好地了解降水类型及其雷达反射率结构对于解释星载雷达观测以及改进卫星降水算法的微物理过程至关重要。微观物理学的差异导致对流云和层状云的反射率降雨率关系不同。尽管此方法对于对流/层状分类以降雨剖面而言很简单,并且适合于估计潜热剖面,但它不能解决各种问题。在对流和层状类别本身中,雨滴的大小分布可能差异很大。进一步对降水分布进行分类的研究可以弥补这一差距。星载雷达的基本观测是垂直剖面。所有推断和分类都必须从此处开始。通过其反射率场的三维结构对降雨进行分类,有可能减少在降雨获取中假设的雨滴大小分布中的随机误差和系统误差。这项研究试图解决在全球范围内星载雷达观测降水廓线领域中存在的特定而独特的问题。对降水量分布图进行建模的困难可以归因于缺乏在全球范围内验证该工作的有效数据。可能需要进行长期研究才能充分开发本工作中引入的概念。这项工作仅是定义此类轮廓的第一步。需要在广泛的区域进行广泛的实验验证,以验证新衍生技术的可用性。这项研究的主要目标是利用观测到的雷达反射率场的垂直结构,将对流型/层状分离之外的雨水类型分类扩展到自然界,并确定一种自然剖面分类,该分类最终可能与降水剖面的微物理变化有关。本文首先从星载降水雷达观测和二维小波分析出发,将降水类型划分为对流/层状雨类型。随后的论文包括全球范围内TRMM-PR雨廓自组织图的分类研究,亮带结构的全球研究以及雨滴大小分布变化的研究。

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