根据楚格峰气象站数据对温度多重性的研究

Pub Date : 2024-05-14 DOI:10.1134/s0001433824700099
S. A. Riabova
{"title":"根据楚格峰气象站数据对温度多重性的研究","authors":"S. A. Riabova","doi":"10.1134/s0001433824700099","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The main multifractal properties of time series of mean, maximum, and minimum daily temperatures are analyzed using multifractal fluctuation analysis. We used the results of instrumental temperature observations made at the Zugspitze meteorological station in the period from August 1, 1900, to January 31, 2023. In general, variations in the mean, maximum, and minimum daily temperatures demonstrate multifractal behavior, especially for small time scales, up to about 90 days. An analysis of the generalized Hurst exponent found that the considered time series have a long-term positive correlation and that the multifractality is weaker with large fluctuations. The singularity spectrum for all time series is truncated to the left, which means that the time series have a multifractal structure that is insensitive to local fluctuations of large values.</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation into Temperature Multifractrality According to Zugspitze Weather Station Data\",\"authors\":\"S. A. Riabova\",\"doi\":\"10.1134/s0001433824700099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>The main multifractal properties of time series of mean, maximum, and minimum daily temperatures are analyzed using multifractal fluctuation analysis. We used the results of instrumental temperature observations made at the Zugspitze meteorological station in the period from August 1, 1900, to January 31, 2023. In general, variations in the mean, maximum, and minimum daily temperatures demonstrate multifractal behavior, especially for small time scales, up to about 90 days. An analysis of the generalized Hurst exponent found that the considered time series have a long-term positive correlation and that the multifractality is weaker with large fluctuations. The singularity spectrum for all time series is truncated to the left, which means that the time series have a multifractal structure that is insensitive to local fluctuations of large values.</p>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1134/s0001433824700099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1134/s0001433824700099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

摘要 利用多分形波动分析法分析了日平均气温、最高气温和最低气温时间序列的主要多分形特性。我们使用了祖格峰气象站在 1900 年 8 月 1 日至 2023 年 1 月 31 日期间的仪器温度观测结果。总体而言,日平均气温、最高气温和最低气温的变化表现出多分形行为,尤其是在小时间尺度上,最长可达 90 天左右。对广义赫斯特指数的分析发现,所考虑的时间序列具有长期的正相关性,多分形性在波动较大时会减弱。所有时间序列的奇异谱都向左截断,这意味着时间序列具有多分形结构,对大数值的局部波动不敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigation into Temperature Multifractrality According to Zugspitze Weather Station Data

分享
查看原文
Investigation into Temperature Multifractrality According to Zugspitze Weather Station Data

Abstract

The main multifractal properties of time series of mean, maximum, and minimum daily temperatures are analyzed using multifractal fluctuation analysis. We used the results of instrumental temperature observations made at the Zugspitze meteorological station in the period from August 1, 1900, to January 31, 2023. In general, variations in the mean, maximum, and minimum daily temperatures demonstrate multifractal behavior, especially for small time scales, up to about 90 days. An analysis of the generalized Hurst exponent found that the considered time series have a long-term positive correlation and that the multifractality is weaker with large fluctuations. The singularity spectrum for all time series is truncated to the left, which means that the time series have a multifractal structure that is insensitive to local fluctuations of large values.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信