| 书目名称 | Nonlinear Time Series Analysis in the Geosciences |
| 副标题 | Applications in Clim |
| 编辑 | Reik V. Donner (Dr),Susana M. Barbosa (Dr) |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | Lecture Notes in Earth Sciences |
| 图书封面 |  |
| 描述 | The enormous progress over the last decades in our understanding of the mechanisms behind the complex system “Earth” is to a large extent based on the availability of enlarged data sets and sophisticated methods for their analysis. Univariate as well as multivariate time series are a particular class of such data which are of special importance for studying the dynamical p- cesses in complex systems. Time series analysis theory and applications in geo- and astrophysics have always been mutually stimulating, starting with classical (linear) problems like the proper estimation of power spectra, which hasbeenputforwardbyUdnyYule(studyingthefeaturesofsunspotactivity) and, later, by John Tukey. In the second half of the 20th century, more and more evidence has been accumulated that most processes in nature are intrinsically non-linear and thus cannot be su?ciently studied by linear statistical methods. With mat- matical developments in the ?elds of dynamic system’s theory, exempli?ed by Edward Lorenz’s pioneering work, and fractal theory, starting with the early fractal concepts inferred by Harold Edwin Hurst from the analysis of geoph- ical time series,nonlinear methods became availabl |
| 出版日期 | Book 2008 |
| 关键词 | Climatology; Deformation; Geosciences; Nonlinear time series analysis; Observational data; Scale; Simulati |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-78938-3 |
| isbn_softcover | 978-3-642-09769-0 |
| isbn_ebook | 978-3-540-78938-3Series ISSN 0930-0317 Series E-ISSN 1613-2580 |
| issn_series | 0930-0317 |
| copyright | Springer-Verlag Berlin Heidelberg 2008 |
发表于 2025-3-21 18:23:15
