| Application of a Cloud-Texture Analysis Scheme to the Cloud Cluster Structure Recognition and Rainfall Estimation in a Mesoscale Rainstorm Process |
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| 作者姓名： | 寿亦萱 励申申 寿绍文 赵忠明 |
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| 作者单位： | [1]Nanjing University of Information Science and Technology, Nanjing 210044 [2]Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101 |
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| 基金项目： | 国家自然科学基金，江苏省自然科学基金 |
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| 摘 要： | It is thought that satellite infrared (IR) images can aid the recognition of the structure of the cloud and aid the rainfall estimation. In this article, the authors explore the application of a classification method relevant to four texture features, viz. energy, entropy, inertial-quadrature and local calm, to the study of the structure of a cloud cluster displaying a typical meso-scale structure on infrared satellite images. The classification using the IR satellite images taken during 4–5 July 2003, a time when a meso-scale torrential rainstorm was occurring over the Yangtze River basin, illustrates that the detailed structure of the cloud cluster can be obviously seen by means of the neural network classification method relevant to textural features, and the relationship between the textural energy and rainfall indicates that the structural variation of a cloud cluster can be viewed as an exhibition of the convection intensity evolvement. These facts suggest that the scheme of following a classification method relevant to textural features applied to cloud structure studies is helpful for weather analysis and forecasting.
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| 关 键 词： | 红外图像 云 降水 暴风雨 中尺度 |
| 收稿时间： | 2005-10-08 |
| 修稿时间： | 2006-02-22 |
Application of a cloud-texture analysis scheme to the cloud cluster structure recognition and rainfall estimation in a mesoscale rainstorm process |
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| Yixuan Shou,Shenshen Li,Shaowen Shou,Zhongming Zhao.Application of a Cloud-Texture Analysis Scheme to the Cloud Cluster Structure Recognition and Rainfall Estimation in a Mesoscale Rainstorm Process[J].Advances in Atmospheric Sciences,2006,23(5):767-774. |
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| Authors: | Yixuan Shou Shenshen Li Shaowen Shou Zhongming Zhao |
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| Institution: | Nanjing University of Information Science and Technology, Nanjing 210044,Nanjing University of Information Science and Technology, Nanjing 210044,Nanjing University of Information Science and Technology, Nanjing 210044,Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101 |
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| Abstract: | It is thought that satellite infrared (IR) images can aid the recognition of the structure of the cloud and aid the rainfall estimation. In this article, the authors explore the application of a classification method relevant to four texture features, viz. energy, entropy, inertial-quadrature and local calm, to the study of the structure of a cloud cluster displaying a typical meso-scale structure on infrared satellite images.The classification using the IR satellite images taken during 4-5 July 2003, a time when a meso-scale torrential rainstorm was occurring over the Yangtze River basin, illustrates that the detailed structure of the cloud cluster can be obviously seen by means of the neural network classification method relevant to textural features, and the relationship between the textural energy and rainfall indicates that the structural variation of a cloud cluster can be viewed as an exhibition of the convection intensity evolvement. These facts suggest that the scheme of following a classification method relevant to textural features applied to cloud structure studies is helpful for weather analysis and forecasting. |
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| Keywords: | infrared (IR) images textural features cloud classification rainfall estimation meso-scalc torrential rainstorms |
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