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DOI | 10.1002/joc.6105 |
A new method to study inhomogeneities in climate records: Brownian motion or random deviations? | |
Lindau, Ralf; Venema, Victor | |
2019-10-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:12页码:4769-4783 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany |
英文摘要 | Climate data are affected by inhomogeneities due to historical changes in the way the measurements were performed. Understanding these inhomogeneities is important for accurate estimates of long-term changes in the climate. These inhomogeneities are typically characterized by the number of breaks and the size of the jumps or the variance of the break signal, but a full characterization of the break signal also includes its temporal behaviour. This study develops a method to distinguish between two types of breaks: random deviations from a baseline and Brownian motion. Strength and frequency of both break types are estimated by using the variance of the spatiotemporal differences in the time series of two nearby stations as input. Thus, the result is directly obtained from the data without running a homogenization algorithm to estimate the break signal from the data. This opens the possibility to determine the total number of breaks and not only that of the significantly large ones. The application to German temperature observations suggests generally small inhomogeneities dominated by random deviations from a baseline. U.S. stations, on the other hand, also show the characteristics of a strong Brownian-motion-type component. |
英文关键词 | Brownian motion climate stations homogenization number of breaks random deviations signal separation spurious trends variance of lag differences |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000489003100013 |
WOS关键词 | MONTHLY TEMPERATURE DATA ; HOMOGENIZATION ALGORITHMS ; ERRORS ; NUMBER |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/187400 |
专题 | 气候变化 |
作者单位 | Univ Bonn, Meteorol Inst, Hugel 20, D-53121 Bonn, Germany |
推荐引用方式 GB/T 7714 | Lindau, Ralf,Venema, Victor. A new method to study inhomogeneities in climate records: Brownian motion or random deviations?[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(12):4769-4783. |
APA | Lindau, Ralf,&Venema, Victor.(2019).A new method to study inhomogeneities in climate records: Brownian motion or random deviations?.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(12),4769-4783. |
MLA | Lindau, Ralf,et al."A new method to study inhomogeneities in climate records: Brownian motion or random deviations?".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.12(2019):4769-4783. |
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