您当前所在位置: 首页 > 学者

徐建华

  • 10浏览

  • 0点赞

  • 0收藏

  • 0分享

  • 0下载

  • 0评论

  • 引用

期刊论文

The regional features of temperature variation trends over Xinjiang in China by the ensemble empirical mode decomposition method

Ling BaiJianhua Xu Zhongsheng ChenWeihong Li

International Journal of Climatology,2015,35(11):3229-3237 | 2015年11月11日 | 10.1002/joc.4202

URL:https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.4202

摘要/描述

Based on a temperature anomaly time series from 16 international exchange stations in Xinjiang from 1957 to 2012, the multi‐scale characteristics of temperature variability were analysed using the ensemble empirical mode decomposition (EEMD) method. Regional differences in variation trends and change‐points were also preliminarily discussed. The results indicated that in the past 50+ years, the overall temperature in Xinjiang has exhibited a significant nonlinear upward trend, and its changes have clearly exhibited an inter‐annual scale (quasi‐3 and quasi‐6‐year) and inter‐decadal scale (quasi‐10 and quasi‐30‐year). The variance contribution rates of each component demonstrated that the inter‐annual change had a strong influence on the overall temperature change in Xinjiang, and the reconstructed inter‐annual variation trend could describe the fluctuation state of the original temperature anomaly during the study period. The reconstructed inter‐decadal variability revealed that the climate mode in Xinjiang had a significant transformation before and after 1995, namely the temperature anomaly shift from a negative phase to a positive one. Furthermore, there were regional differences in the nonlinear changes and change‐points of temperature. At the same time, the results also suggested that the EEMD method can effectively reveal variations in long‐term temperature sequences at different time scales and can be used for the complex diagnosis of nonlinear and non‐stationary signal changes.

版权说明:以下全部内容由徐建华上传于   2018年06月26日 21时18分04秒,版权归本人所有。

我要评论

全部评论 0

本学者其他成果

    同领域成果