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.
HAO Cheng-yuan, WU Shao-hong, LI Shuang-cheng
. Measurement of climate complexity using permutation entropy[J]. GEOGRAPHICAL RESEARCH, 2007
, 26(1)
: 46
-52
.
DOI: 10.11821/yj2007010006
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