排列熵应用于气候复杂性度量

doi:10.11821/yj2007010006

地理研究 ›› 2007, Vol. 26 ›› Issue (1): 46-52.doi: 10.11821/yj2007010006

排列熵应用于气候复杂性度量

郝成元^1,3, 吴绍洪¹, 李双成²

1. 中国科学院地理科学与资源研究所,北京 100101;
2. 北京大学环境学院资源与环境地理系,北京 100871;
3. 中国科学院研究生院,北京 100049

收稿日期:2006-03-18 修回日期:2006-07-17 出版日期:2007-01-25 发布日期:2007-01-25
作者简介:郝成元(1969-),男,山东曹县人,博士,讲师。主要从事自然地理综合研究。 E-mail:haocy@igsnrr.ac.cn。
基金资助:
国家重点基础研究发展计划(973项目) (2003CB415101)资助

Measurement of climate complexity using permutation entropy

HAO Cheng-yuan^1,3, WU Shao-hong¹, LI Shuang-cheng²

1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
2. College of Environmental Sciences, Peking University|The Key Laboratory for Earth Surface Processes, Ministry of Education, Beijing 100871, China;
3. Graduate School of the Chinese Academy of Sciences, Beijing 100049, China

Received:2006-03-18 Revised:2006-07-17 Online:2007-01-25 Published:2007-01-25
Supported by:
国家重点基础研究发展计划(973项目) (2003CB415101)资助

摘要/Abstract

摘要： 云南省南部地区由于多季风系统影响和大地形作用的多样性,气候系统复杂多样。本文利用多年日气温和降水资料、依据基于长时间序列的相邻数据对比的复杂度参数——排列熵,对这种气候系统复杂性的度量效果是简单而有效的:气温熵值的空间格局反映了区域大气环流的复杂性和哀牢山山地作用的显著性;降水熵值的空间格局不仅指示了水汽来源的方向,而且反映了降水空间递变强度的区域差异。并很好的诠释了当地气候的大气环流和局地地形的双重影响效果。

关键词: 排列熵, 气候复杂性, 大气环流, 地形因子

Abstract: Permutation entropy is a complex parameter for time series based on comparison of neighboring values, which can measure spatio-temporal complexity of weather factors, and more importantly, whose spatial pattern can get geographical explanation. Based on the climate physics elements for time series including daily temperature and daily precipitation from 1971 to 2000, this article takes southwest of Yunnan Province as a case to study the characteristic of varied atmospheric cirulations and complex landforms, measure the climate systematic complexity and probe into their geographic causes. It is concluded that it is simple and effectual to measure the systematic complexity of climate by permutation entropy. On the one hand, the spatial pattern of permutation entropy (based on daily temperature)can reflect the complexity of regional atmospheric circulation and the significance of Ailao Mountain barrier function. On the other hand, the spatial pattern of permutation entropy (based on daily precipitation)can not only indicate the direction of the water vapour sources, but also reflect regional difference of spatial precipitation variation intensity. In a word, there is a good geographical explanation of both atmospheric circulation and localized topography to climate elements.

Key words: permutation entropy, climate complexity, atmosphere circulation, topographic factor

郝成元, 吴绍洪, 李双成. 排列熵应用于气候复杂性度量[J]. 地理研究, 2007, 26(1): 46-52.

HAO Cheng-yuan, WU Shao-hong, LI Shuang-cheng. Measurement of climate complexity using permutation entropy[J]. GEOGRAPHICAL RESEARCH, 2007, 26(1): 46-52.

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排列熵应用于气候复杂性度量

Measurement of climate complexity using permutation entropy

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