• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Theoretical and applied climatology >Detecting abrupt dynamic change based on changes in the fractal properties of spatial images
【24h】

Detecting abrupt dynamic change based on changes in the fractal properties of spatial images

机译：基于空间图像的分形特性变化来检测突然的动态变化

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Many abrupt climate change events often cannot be detected timely by conventional abrupt detection methods until a few years after these events have occurred. The reason for this lag in detection is that abundant and long-term observational data are required for accurate abrupt change detection by these methods, especially for the detection of a regime shift. So, these methods cannot help us understand and forecast the evolution of the climate system in a timely manner. Obviously, spatial images, generated by a coupled spatiotemporal dynamical model, contain more information about a dynamic system than a single time series, and we find that spatial images show the fractal properties. The fractal properties of spatial images can be quantitatively characterized by the Hurst exponent, which can be estimated by two-dimensional detrended fluctuation analysis (TD-DFA). Based on this, TD-DFA is used to detect an abrupt dynamic change of a coupled spatiotemporal model. The results show that the TD-DFA method can effectively detect abrupt parameter changes in the coupled model by monitoring the changing in the fractal properties of spatial images. The present method provides a new way for abrupt dynamic change detection, which can achieve timely and efficient abrupt change detection results.
机译：通常在这些事件发生后的几年内，许多常规的突变检测方法往往无法及时发现许多突变的气候变化事件。检测滞后的原因是，通过这些方法进行准确的突变检测，特别是检测状态偏移，需要大量的长期观测数据。因此，这些方法无法帮助我们及时了解和预测气候系统的演变。显然，由时空耦合动力学模型生成的空间图像比单个时间序列包含更多有关动态系统的信息，并且我们发现空间图像显示了分形特性。空间图像的分形特性可以通过Hurst指数进行定量表征，该指数可以通过二维去趋势波动分析（TD-DFA）进行估算。基于此，TD-DFA用于检测耦合时空模型的突然动态变化。结果表明，通过监测空间图像的分形特性变化，TD-DFA方法可以有效地检测耦合模型中的参数突变。该方法为突变动态变化的检测提供了一种新方法，可以实现及时有效的突变变化检测结果。

著录项

  • 来源
    《Theoretical and applied climatology》 |2017年第2期|435-442|共8页
  • 作者

    Liu Qunqun; He Wenping; Gu Bin; Jiang Yundi;

  • 作者单位

    Nanjing Univ Informat Sci & Technol, Inst Space Weather, Nanjing 210044, Jiangsu, Peoples R China|Key Lab Aerosol Cloud Precipitat CMA NUIST, Nanjing 210044, Jiangsu, Peoples R China;

    China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China|Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China;

    Nanjing Univ Informat Sci & Technol, Inst Space Weather, Nanjing 210044, Jiangsu, Peoples R China|Key Lab Aerosol Cloud Precipitat CMA NUIST, Nanjing 210044, Jiangsu, Peoples R China;

    China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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