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HARMONICAL ANALYSIS OF SEA LEVEL DATA AT VARNA TIDE GAUGE

Anton Ivanov

First published: 2023-10-01https://doi.org/10.5593/sgem2023/2.1/s09.26View metrics

Abstract

This article outlines time series analysis of sea level data from Varna tide gauge stations, to solve for short and long term sea level variations. The period of observations span to 1928 - 2022. Monthly sea level data were processed using a linear regression model includes mean sea level, trend, annual, semiannual and decadal variations. Analysis of monthly sea level data for period 1928-2022 clearly indicates annual and decadal variations of mean sea level. Hourly sea level data of radar tide gauge include the period May 2013 - December 2022. The period is enough for separation the influence of long from short term tidal constituents. To analyzing of hourly sea level data, a harmonic analysis with least squares was used to resolve the amplitudes and phases of the tidal components. Harmonic analysis described observed data like series presented by sum of components whit a previously known frequencies stable in time. More than sixty statistically significant short term tidal constituents are obtained. Observation of the mean sea level is an important not only from an changing climate point of view, it also plays an key role in geodesy and geophysics. The results obtained for the annual and semi-annual tides from the regression analysis of monthly sea level and the harmonic analysis of hourly sea level data are compared.

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Publication details

Title
HARMONICAL ANALYSIS OF SEA LEVEL DATA AT VARNA TIDE GAUGE
Authors
Anton Ivanov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 23rd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2023, Informatics, Geoinformatics and Remote Sensing, Vol 23, Issue 2.1.
Publisher
STEF92 Technology
Year
2023
Pages
209-214
SWS Citekey
Ivanov20239209214
ISSN
1314-2704
ISBN
978-619-7603-57-6
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References5
  1. Golyandina, N., Osipov, E. The �Caterpillar�-SSA method for analysis of time series with missing values. Journal of Statistical Planning and Inference 13. 2007, pp2642 � 2653p. DOI: 10.1016/j.jspi.2006.05.014

  2. Codiga, D.L., Unified Tidal Analysis and Prediction Using the UTide Matlab Functions, Technical Report 2011-01, Graduate School of Oceanography, University of Rhode Island, Narragansett, RI., USA, 2011, 59pp;

  3. Thompson, K. R., An analysis of British monthly mean sea level, International Scientific Event, Geophys Journal Royal astronomical. society. vol 63, 1980, pp57-73 DOI: 10.1111/j.1365-246x.1980.tb02610.x

  4. Ivanov A., Georgiev I., Dimitrov N. (2019). Analysis of 90 years sea level data at Varna tide gauge station. 19th International Multidisciplinary Scientific GeoConference SGEM 2019. 9.Geodesy and Mine Surveying. Book 2.2. pp11-16, ISSN 1314-2704, DOI: 10.5593/sgem2019/2.2/S09.002

  5. Ivanov A., Georgiev I., Dimitrov N. (2019). Single spectrum analysis for monthly sea level data from Varna tide gauge station. 10th Congress of Balkan Geophysical Society, 18-22 September 2019, Albena Resort, Bulgaria. 1.2 Marine Geophysics. DOI: 10.3997/2214-4609.201902664

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