On the Estimation of Natural and Anthropogenic Trends in Climate Records

被引：7
|
作者：
Lennartz, S. [1 ]
Bunde, A. [1 ]
机构：
[1] Univ Edinburgh, Sch Engn, Edinburgh EH9 3JL, Midlothian, Scotland
来源：
EXTREME EVENTS AND NATURAL HAZARDS: THE COMPLEXITY PERSPECTIVE | 2012年 / 196卷
关键词：
LONG-TERM PERSISTENCE; RIVER RUNOFF RECORDS; AFFINE TIME-SERIES; FLUCTUATION ANALYSIS; MULTIFRACTALITY; PRECIPITATION; VOLATILITY; MAGNITUDE; SPECTRA; SLEEP;
D O I：
10.1029/2011GM001079
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
This chapter focuses on data that exhibit long-term memory and, in addition, may be influenced by external deterministic trends. Examples for data with long-term memory are temperature and river runoff records, and deterministic trends may be caused by the increased emissions of greenhouse gases or increased urbanization, leading to global or urban warming. We show how long-term correlations can be quantified in the presence of external trends and to which extent external (approximately linear) trends can be detected in the presence of long-term memory.
引用
收藏
页码：177 / +
页数：3
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