• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Hydrology and Earth System Sciences >Technical note: Changes in cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers
【24h】

Technical note: Changes in cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers

机译：技术说明：日降水量气候预测中交叉和自相关结构的变化及其对异常值的敏感性

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Simulations of regional or global climate models are often used for climate change impact assessment. To eliminate systematic errors, which are inherent to all climate model simulations, a number of post-processing (statistical downscaling) methods have been proposed recently. In addition to basic statistical properties of simulated variables, some of these methods also consider a dependence structure between or within variables. In the present paper we assess the changes in cross- and auto-correlation structures of daily precipitation in six regional climate model simulations. In addition the effect of outliers is explored making a distinction between ordinary outliers (i.e. values exceptionally small or large) and dependence outliers (values deviating from dependence structures). It is demonstrated that correlation estimates can be strongly influenced by a few outliers even in large datasets. In turn, any statistical downscaling method relying on sample correlation can therefore provide misleading results.?An exploratory procedure is proposed to detect the dependence outliers in multivariate data and to quantify their impact on correlation structures.
机译：区域或全球气候模型的模拟通常用于气候变化影响评估。为了消除所有气候模型模拟所固有的系统误差，最近已提出了许多后处理（统计缩减）方法。除了模拟变量的基本统计属性外，其中一些方法还考虑了变量之间或变量之内的依赖结构。在本文中，我们评估了六个区域气候模型模拟中日降水的互相关和自相关结构的变化。此外，还探索了离群值的影响，以区分普通离群值（即，值异常小或大）和依存离群值（偏离依存结构的值）。结果表明，即使在大型数据集中，相关估计也会受到一些异常值的强烈影响。反过来，任何依赖样本相关性的统计缩减尺度方法都可能产生误导性结果。提出了一种探索性程序，以检测多元数据中的相关性异常值并量化其对相关性结构的影响。

著录项

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