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Time-series analysis of ocean biogeochemical and ecological data
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Statistical analysis of time series and its applications to the global sea level rise and to tide predictions in the shallow waters of the gulf of mexico (Invited)
Tuesday 8th @ 1330-1405, Conference Room 5
Alexey Sadovski* , Department of Mathematics & Statistics, Texas A&M University -Corpus Christi
Presenter Email: alexey.sadovski@tamucc.edu
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| This presentation is based on the research done at the Texas A&M University-Corpus Christi. We applied different tools of statistical analysis and neural networks to analyze time series data collected by the Texas Coastal Ocean Observation Network (TCOON) along the coast of the Gulf of Mexico. The results of this approach is a good predictions of primary water levels for 12-48 hours period as well as a reliable shorter term predictions of fast changing water levels in the cases of tropical storms. Another investigation is used factor analysis to deal with the global and local time series data to explain and predict sea level rise. Discoveries include, but not limited to, the Geoid impact, sea level rise due to global ice melting, and local factors such as a land subsidence. |
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