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HYDROLOGICAL TIME SERIES INVESTIGATION AND FOERCASTING USING CATERPILLAR SINGULAR SPECTRUM ANALYSIS APPROACH

Polukoshko, Svetlana, Hilkevica, Galina

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b31/s12.051View metrics

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Title
HYDROLOGICAL TIME SERIES INVESTIGATION AND FOERCASTING USING CATERPILLAR SINGULAR SPECTRUM ANALYSIS APPROACH
Authors
Polukoshko, Svetlana, Hilkevica, Galina
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on WATER RESOURCES. FOREST, MARINE AND OCEAN ECOSYSTEMS
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-13-1
Language
en
Publication type
Conference Paper
References16

  1. Danilov D. & Zhigljavsky A. Principal Components of Time Series: "Caterpillar" Method, St. Petersburg University, Russia, 1997, http://www.gistatgroup.com/gus/

  2. Ekman M. The Changing Level of the Baltic Sea during 300 Years: A Clue to Understanding the Earth, Ben Johans, PQR, Sweden, 2009.

  3. Ghil M. et al. Advanced Spectral Methods for Climatic Time Series. Reviews of Geophysics, 40 (1), 2002, pp. 1-1–1-41.

  4. Golyandina N., Nekrutkin V. & Zhigljavsky A. Analysis of Time Series Structure : SSA and Related Techniques, CRC Press, USA, 2010.

  5. Golyandina N. & Osipov E. The "Caterpillar" -SSA method for analysis of time series with missing values, Journal of Statistical Planning and Inference, Volume 137/issue 8, pp 2642-2653, 2007.

  6. Jolliffe I.T. Principal Component Analysis, Springer-Verlag, Germany, 1986.

  7. Permanent Service for Mean Sea Level (PSMSL), Tide Gauge Data, Retrieved 21 Apr 2014 from http://www.psmsl.org/data/obtaining/

  8. SSA –MTM Toolkit for Spectral Analysis, http://www.atmos.ucla.edu/tcd/ssa/

  9. Danilov D. & Zhigljavsky A. Principal Components of Time Series: "Caterpillar" Method, St. Petersburg University, Russia, 1997, http://www.gistatgroup.com/gus/

  10. Ekman M. The Changing Level of the Baltic Sea during 300 Years: A Clue to Understanding the Earth, Ben Johans, PQR, Sweden, 2009.

  11. Ghil M. et al. Advanced Spectral Methods for Climatic Time Series. Reviews of Geophysics, 40 (1), 2002, pp. 1-1–1-41.

  12. Golyandina N., Nekrutkin V. & Zhigljavsky A. Analysis of Time Series Structure : SSA and Related Techniques, CRC Press, USA, 2010.

  13. Golyandina N. & Osipov E. The "Caterpillar" -SSA method for analysis of time series with missing values, Journal of Statistical Planning and Inference, Volume 137/issue 8, pp 2642-2653, 2007.

  14. Jolliffe I.T. Principal Component Analysis, Springer-Verlag, Germany, 1986.

  15. Permanent Service for Mean Sea Level (PSMSL), Tide Gauge Data, Retrieved 21 Apr 2014 from http://www.psmsl.org/data/obtaining/

  16. SSA –MTM Toolkit for Spectral Analysis, http://www.atmos.ucla.edu/tcd/ssa/

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