【24h】

Hoelder Scales of Sea Level

机译:海平面荷尔德秤

获取原文
获取原文并翻译 | 示例
           

摘要

The statistics of sea level is essential in the field of geosciences, ranging from ocean dynamics to climates. The fractal properties of sea level, such as long-range dependence (LRD) or long memory, 1/f noise behavior, and self-similarity (SS), are known. However, the description of its multiscale behavior as well as local roughness with the Holder exponent h(t) from a view of multifractional Brownian motion (mBm) is rarely reported, to the best of our knowledge. In this research, we will exhibit that there is the multiscale property of sea level based on h(t)s of sea level data recorded by the National Data Buoy Center (NDBC) at six stations in the Florida and Eastern Gulf of Mexico. The contributions of this paper are twofold as follows, (ⅰ) Hoelder exponent of sea level may not change with time considerably at small time scale, for example, daily time scale, but it varies significantly at large time scale, such as at monthly time scale, (ⅱ) The dispersion of the Hoelder exponents of sea level may be different at different stations. This implies that the Hoelder roughness of sea level may be spatial dependent.
机译:在从海洋动力学到气候的地球科学领域中,海平面的统计都是必不可少的。已知海平面的分形特性,例如长程依赖关系(LRD)或长时记忆,1 / f噪声行为和自相似(SS)。但是,据我们所知,很少有人从多分数布朗运动(mBm)的角度描述其多尺度行为以及Holder指数h(t)的局部粗糙度。在这项研究中,我们将根据国家数据浮标中心(NDBC)在佛罗里达州和墨西哥东部海湾的六个站点记录的海平面数据的h(t)来显示海平面具有多尺度特性。本文的贡献有以下两个方面:(ⅰ)在较小的时间范围内(例如,每日时间范围),海平面的Hoelder指数可能不会随时间显着变化,但是在较大的时间范围(例如,每月时间)内,其海尔德指数可能不会发生显着变化。标度,(ⅱ)在不同站点,海德霍尔德指数的离散度可能不同。这意味着海德的Hoelder粗糙度可能与空间有关。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2012年第12期|863707.1-863707.22|共22页
  • 作者单位

    Department of Computer and Information Science, University of Macau, Avenida Padre Tomas Pereira, Taipa, Macau, Macau,School of Information Science and Technology, East China Normal University, Shanghai 200241, China;

    School of Engineering, University of California, Merced, CA 95343, USA;

    College of Resources and Environmental Science, East China Normal University, Shanghai 200241, China;

    Department of Computer and Information Science, University of Macau, Avenida Padre Tomas Pereira, Taipa, Macau, Macau;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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