225
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

Effects of Offsets and Outliers on the Sea Level Trend at Antalya 2 Tide Gauge within the Eastern Mediterranean Sea

ORCID Icon
Pages 329-359 | Received 17 Oct 2021, Accepted 24 Feb 2022, Published online: 11 Mar 2022

References

  • Ayhan, M. E. 2020. Dynamic harmonic regression modeling for monthly mean sea levels at tide gauges within the Arabian Gulf. Journal of Geodesy 94 (4):46.
  • Bai, J., and P. Perron. 2003. Computation and analysis of multiple structural Change models. Journal of Applied Econometrics 18 (1):1–22.
  • Barbosa, S. M., M. E. Silva, and M. J. Fernandes. 2008. Time series analysis of sea-level records: Characterising long-term variability. In Nonlinear time series analysis in the geosciences-applications in climatology, geodynamics, and solar-terrestrial physics, eds. by R. V. Donner, S. M. Barbosa, 157–73. Berlin, Heidelberg: Springer.
  • Beaulieu, C., and R. Killick. 2018. Distinguishing trends and shifts from memory in climate data. Journal of Climate 31 (23):9519–43.
  • Beaulieu, C., R. Killick, D. Ireland, and B. Norwood. 2020. Considering long-memory when testing for changepoints in surface temperature: A classification approach based on the time-varying spectrum. Environmetrics 31 (1):e2568.
  • Becker, M., M. Karpytchev, M. Davy, and K. Doekes. 2009. Impact of a shift in mean on the sea level rise: Application to the tide gauges in the Southern Netherlands. Continental Shelf Research 29 (4):741–9.
  • Beran, J. 1994. Statistics for long-memory processes. Boca Raton, FL: Chapman and Hall/CRC.
  • Bos, M. S., S. D. P. Williams, I. B. Araújo, and L. Bastos. 2014. The effect of temporal correlated noise on the sea level rate and acceleration uncertainty. Geophysical Journal International 196 (3):1423–30.
  • Box, G. E. P., G. M. Jenkins, G. C. Reinsel, and G. M. Ljung. 2016. Time Series Analysis - Forecasting and Control. 5th ed. Hoboken, NJ: Wiley.
  • Cazenave, A., Y. Gouzenes, F. Birol, F. Leger, M. Passaro, F. M. Calafat, A. Shaw, F. Nino, J. F. Legeais, J. Oeismann, et al. 2022. New network of virtual altimetry stations for measuring sea level along the world coastlines. SEANOE.
  • Chang, I., G. C. Tiao, and C. Chen. 1988. Estimation of time series parameters in the presence of outliers. Technometrics 30 (2):193–204.
  • Chen, C., and L.-M. Liu. 1993. Joint estimation of model parameters and outlier effects in time series. Journal of the American Statistical Association 88 (421):284–97.
  • Chung, S.-K. 2000. Asymptotics of trend stationary fractionally integrated ARMA models. Applied Economics 32 (12):1509–14.
  • Cleveland, R., W. Cleveland, J. McRae, and I. Terpenning. 1990. STL: A seasonal-trend decomposition procedure based on loess (with discussion). Journal of Official Statistics 6 (1):3–73.
  • Durbin, J., and S. J. Koopman. 2012. Time series analysis by state space methods. 2nd ed. Oxford, UK: Oxford University Press.
  • Emre, Ö., T. Y. Duman, S. Özalp, F. Şaroğlu, Ş. Olgun, H. Elmacı, and T. Çan. 2018. Active fault database of Turkey. Bulletin of Earthquake Engineering 16 (8):3229–75.
  • Fatichi, S., S. M. Barbosa, E. Caporali, and M. E. Silva. 2009. Deterministic versus stochastic trends: Detection and challenges. Journal of Geophysical Research 114 (D18):D18121.
  • Feng, X., M. N. Tsimplis, M. Marcos, F. M. Calafat, J. Zheng, G. Jorda, and P. Cipollini. 2015. Spatial and temporal variations of the seasonal sea level cycle in the northwest Pacific. Journal of Geophysical Research: Oceans 120 (10):7091–112.
  • Flemming, N. C. 1978. Holocene Eustatic Changes and Coastal Tectonics in the Northeast Mediterranean: Implications for Models of Crustal Consumption. Philosophical Transactions of the Royal Society of London, Series A, Mathematical and Physical Sciences 289 (1362):405–58.
  • Flemming, N. C., and C. O. Webb. 1986. Tectonic and eustatic coastal changes during the last 10,000 years derived from archaeological data. Z. Geomorphol. N.F 62:1–29.
  • Friedman, J. H. 1984. A variable span smoother. Technical Report LCSS, Department of Statistics, Stanford University.
  • Gedikli, A., H. Aksoy, and N. E. Unal. 2008. Segmentation algorithm for long time series analysis. Stochastic Environmental Research and Risk Assessment 22 (3):291–302.
  • Gedikli, A., H. Aksoy, and N. E. Unal. 2010. AUG-Segmenter: A user-friendly tool for segmentation of long time series. Journal of Hydroinformatics 12 (3):318–28.
  • GDM. 2019. Personel communication with geodetic staff of the general directorate of mapping (GDM), Ankara, Turkey.
  • Hogarth, P., C. W. Hughes, S. D. P. Williams, and C. Wilson. 2020. Improved and extended tide gauge records for the British Isles leading to more consistent estimates of sea level rise and acceleration since 1958. Progress in Oceanography 184:102333.
  • Holgate, S. J., A. Matthews, P. L. Woodworth, L. J. Rickards, M. E. Tamisiea, E. Bradshaw, P. R. Foden, K. M. Gordon, S. Jevrejeva, and J. Pugh. 2013. New data systems and products at the permanent service for mean sea level. Journal of Coastal Research 29 (3):493–504.
  • Howell, A., J. Jackson, A. Copley, D. McKenzie, and E. Nissen. 2017. Subduction and vertical coastal motions in the eastern Mediterranean. Geophysical Journal International 211 (1):593–620.
  • Hyndman, R. J. 2021. Detecting time series outliers. https://robjhyndman.com/hyndsight/tsoutliers/.
  • Hyndman, R. J., Athanasopoulos, G., Bergmeir, C., Caceres, G., Chhay, L., O'Hara-Wild, M., Petropoulos, F., Razbash, S. 2021. Package “forecast”: Forecasting functions for time series and linear models. R package version 8.15. https://cran.r-project.org/web/packages/forecast/forecast.pdf.
  • Hyndman, R. J., and G. Athanasopoulos. 2018. Forecasting: Principles and practice. 2nd ed. Melbourne, Australia: OTexts. https://OTexts.org/fpp2/.
  • Hyndman, R. J., and Y. Fan. 1996. Sample quantiles in statistical packages. The American Statistician 50 (4):361–5.
  • Killick, R., P. Fearnhead, and I. A. Eckley. 2012. Optimal detection of change points with a linear computational cost. Journal of the American Statistical Association 107 (500):1590–8.
  • Killick, R., Beaulieu, C. S. Taylor, H. Hullait. and H. 2020. Package “EnvCpt”: Detection of structural changes in climate and environment time series. R package version 1.1.2. https://cran.r-project.org/web/packages/EnvCpt/EnvCpt.pdf.
  • Luedicke, J. 2015. Friedman’s super smoother. http://fmwww.bc.edu/RePEc/bocode/s/supsmooth_doc.pdf.
  • Marcos, M., and M. N. Tsimplis. 2007. Variations of the seasonal sea level cycle in southern Europe. Journal of Geophysical Research 112 (C12):C12011.
  • Marcos, M., and M. N. Tsimplis. 2008. Coastal sea level trends in Southern Europe. Geophysical Journal International 175 (1):70–82.
  • Mendes, V. B., S. M. Barbosa, I. Romero, J. Madeira, and A. Brum da Silveira. 2017. Vertical land motion and sea level change in Macaronesia. Geophysical Journal International 210 (2):1264–80.
  • Mohamed, B., A. M. Abdallah, K. Alam El-Din, H. Nagy, and M. Shaltout. 2019. Inter-annual variability and trends of sea level and sea surface temperature in the Mediterranean Sea over the last 25 years. Pure and Applied Geophysics 176 (8):3787–810.
  • Moritz, S., and T. Bartz-Beielstein. 2017. Package imputeTS: Time series missing value imputation in R. R Journal 9:1.
  • Moritz, S., and S. Gatscha. 2021. Package imputeTS: Time series missing value imputation. R package version 3.2. https://cran.r-project.org/web/packages/imputeTS/imputeTS.pdf.
  • NASA JPL. 2013. NASA Shuttle Radar Topography Mission Global 3 arc second [Data set]. NASA EOSDIS Land Processes DAAC. https://doi.org/https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL3.003.
  • Ozturk, U., N. Marwan, S. Specht, O. Korup, and J. Jensen. 2018. A new centennial sea-level record for antalya, Eastern Mediterranean. Journal of Geophysical Research: Oceans 123 (7):4503–17.
  • Peltier, W. R. 2004. Global glacial isostasy and the surface of the ice-age earth: The ICE-5G (VM2) model and GRACE. Annual Review of Earth and Planetary Sciences 32 (1):111–49.
  • Pettitt, A. N. 1979. A non-parametric approach to the change-point problem. Applied Statistics 28 (2):26–135.
  • Perron, P. 1989. The great crash, the oil price shock and the unit root hypothesis. Econometrica 57 (6):1361–401.
  • Perron, P. 1994. Trend, unit root and structural change in macroeconomic time series. In Cointegration, ed. by B. B. Rao, 113–46. London, UK: Palgrave Macmillan.
  • Pfaff, B. 2008. Analysis of integrated and cointegrated series with R. Berlin, Heidelberg: Springer.
  • Pfaff, B., E. Zivot, and M. Stigler. 2016. Package urca: Unit Root and Cointegration Tests for Time Series Data. R package version 1.3.0. https://cran.r-project.org/web/packages/urca/urca.pdf.
  • Ruf, T. 1999. The Lomb-Scargle periodogram in biological rhythm research: analysis of incomplete and unequally spaced time-series. Biological Rhythm Research 30 (2):178–201.
  • Ruf, T. 2019. Package lomb: Lomb-Scargle Periodogram. R package version 1.2. https://cran.r-project.org/web/packages/lomb/lomb.pdf.
  • Simav, M., H. Yildiz, A. Türkezer, O. Lenk, and E. Ozsoy. 2012. Sea level variability at Antalya and Menteş tide gauges in Turkey: Atmospheric, steric and land motion contributions. Studia Geophysica et Geodaetica 56 (1):215–30.
  • Tan, O., C. Tapirdamaz, and A. Yoruk. 2008. The earthquake catalogues for Turkey. Turkish Journal of Earth Sciences 17 (2):405–18.
  • The Climate Change Initiative Coastal Sea Level Team. 2020. Coastal sea level anomalies and associated trends from Jason satellite altimetry over 2002–2018. Scientific Data 7:357.
  • Tsimplis, M. N., and P. L. Woodworth. 1994. The global distribution of the seasonal sea level cycle calculated from coastal tide gauge data. Journal of Geophysical Research 99 (C8):16031–9.
  • van Onselen, K. I. 2000. The influence of data quality on the detectability of sea-level height variations. PhD diss., NCG Publications on Geodesy, 49, TU Delft.
  • Veenstra, J. Q. 2013. Persistence and anti-persistence: Theory and software. PhD diss., The University of Western Ontario. Electronic Thesis and Dissertation Repository 1119. https://ir.lib.uwo.ca/etd/1119.
  • Veenstra, J. Q., and A. I. McLeod. 2018. Package arfima: Fractional ARIMA (and other long memory) time series modeling. R package version 1.7-0. https://cran.r-project.org/web/packages/arfima/arfima.pdf.
  • White, N. J., I. D. Haigh, J. A. Church, T. Koen, C. S. Watson, T. R. Pritchard, P. J. Watson, R. J. Burgette, K. L. McInnes, Z.-J. You, et al. 2014. Australian sea levels—Trends, regional variability and influencing factors. Earth-Science Reviews 136:155–74.
  • Wikipedia. 2021. Quantile. https://en.wikipedia.org/wiki/Quantile.
  • Yildiz, H, et al. 2003. Analysis of sea level and geodetic Measurements of Antalya-II, Bodrum II, Erdek and Menteş tide gauges in the period of 1984-2002. Harita Dergisi 17:1–75. https://www.harita.gov.tr/images/dergi/f416faa4457586b.pdf.
  • Yildiz, H., O. B. Andersen, M. Simav, B. Aktug, and S. Ozdemir. 2013. Estimates of vertical land motion along the southwestern coasts of Turkey from coastal altimetry and tide gauge data. Advances in Space Research 51 (8):1572–80.
  • Young, P. 1988. Recursive extrapolation, interpolation and smoothing of nonstationary time-series. IFAC Proceedings Volumes 21 (9):35–46.
  • Zivot, E., and D. W. K. Andrews. 1992. Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics 10 (3):251–70.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.