The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES
Open accessAbstract
The analysis of univariate or multivariate time series provides crucial information to describe, understand, and predict climatic variability. The discovery and implementation of a number of novel methods for extracting useful information from time series has recently revitalized this classical field of study. Considerable progress has also been made in interpreting the information so obtained in terms of dynamical systems theory. In this review we describe the connections between time series analysis and nonlinear dynamics, discuss signal‐to‐noise enhancement, and present some of the novel methods for spectral analysis. The various steps, as well as the advantages and disadvantages of these methods, are illustrated by their application to an important climatic time series, the Southern Oscillation Index. This index captures major features of interannual climate variability and is used extensively in its prediction. Regional and global sea surface temperature data sets are used to illustrate multivariate spectral methods. Open questions and further prospects conclude the review.
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Cites
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Cited by
Bentsen, M., Bethke, I., Debernard, J. B., Iversen, T., Kirkevåg, A., Seland, Ø., Drange, H., Roelandt, C., Seierstad, I. A., Hoose, C., et al. (2013) · Geoscientific Model Development · doi:10.5194/gmd-6-687-2013 · Cited by 1,084
Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis
Oropeza, V., & Sacchi, M. (2011) · Geophysics · doi:10.1190/1.3552706 · Cited by 788
Echo Chambers: Emotional Contagion and Group Polarization on Facebook
Del Vicario, M., Vivaldo, G., Bessi, A., Zollo, F., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2016) · Scientific Reports · doi:10.1038/srep37825 · Cited by 576
A Review of Multitaper Spectral Analysis
Babadi, B., & Brown, E. N. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2311996 · Cited by 342
Improved Bias Correction Techniques for Hydrological Simulations of Climate Change*
Pierce, D. W., Cayan, D. R., Maurer, E. P., Abatzoglou, J. T., & Hegewisch, K. C. (2015) · Journal of Hydrometeorology · doi:10.1175/jhm-d-14-0236.1 · Cited by 332
Metadata
- Authors
- Ghil, M., Allen, M. R., Dettinger, M. D., Ide, K., Kondrashov, D., Mann, M. E., Robertson, A. W., Saunders, A., Tian, Y., Varadi, F., & Yiou, P.
- Venue
- Reviews of Geophysics
- Publisher
- American Geophysical Union (AGU)
- Published
- 2002-02
- Volume
- 40
- Issue
- 1
- ISSN
- 0096-1043 (ISSN-L)
- 8755-1209
- 1944-9208
- OpenAlex
- W2166361350
- Cited by
- 2,198
- References
- 7
- FWCI
- 35.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ghil, M., Allen, M. R., Dettinger, M. D., Ide, K., Kondrashov, D., Mann, M. E., Robertson, A. W., Saunders, A., Tian, Y., Varadi, F., & Yiou, P. (2002). ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES. Reviews of Geophysics. https://doi.org/10.1029/2000rg000092
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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