Accurate Forecasting of the satellite-derived seasonal caspian sea level anomaly using polynomial interpolation and holt-winters exponential smoothing

Moslem Imani, Rey-Jer You, Chung-Yen Kuo

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Polynomial interpolation and Holt-Winters exponential smoothing (HWES) are used to analyze and forecast Caspian Sea level anomalies derived from 15-year Topex/Poseidon (T/P) and Jason-1 (J-1) altimetry covering 1993 to 2008. Because along-track altimetric products may contain temporal and spatial data gaps, a least squares polynomial interpolation is performed to fill the gaps of along-track sea surface heights used. The modeling results of a 3-year forecasting time span (2005 - 2008) derived using HWES agree well with the observed time series with a correlation coefficient of 0.86. Finally, the 3-year forecasted Caspian Sea level anomalies are compared with those obtained using an artificial neural network method with reasonable agreement found.

Original languageEnglish
Pages (from-to)521-530
Number of pages10
JournalTerrestrial, Atmospheric and Oceanic Sciences
Volume24
Issue number4 PART1
DOIs
Publication statusPublished - 2013 Aug 1

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)

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