Changes in extreme sea-levels in the Baltic Sea

References

• Andersson H . Influence of long-term regional and large-scale atmospheric circulation on the Baltic Sea level. Tellus A. 2002; 54: 76–88.
   Google Scholar
• Barbosa S . Quantile trends in Baltic Sea level. Geophys. Res. Lett. 2008; 35: L22704.
   Web of Science ®Google Scholar
• Barbosa S. M. , Madsen K. S . Kenyon S. , Pacino M. C. , Marti U . Quantile analysis of relative sea-level at the Hornbæk and Gedser Tide Gauges. Geodesy for Planet Earth: Proceedings of the 2009 IAG Symposium. 2012; Berlin Heidelberg: Springer. 567–571.
   Google Scholar
• Barbosa S. M. , Scotto M. G. , Alonso A. M . Summarising changes in air temperature over Central Europe by quantile regression and clustering. Nat. Hazard Earth Syst. 2011; 11: 3227–3233.
   Web of Science ®Google Scholar
• Bastos A. , Trigo R. , Barbosa S. M . Discrete wavelet analysis of the influence of the North Atlantic Oscillation on Baltic Sea level. Tellus A. 2013; 65: 20077.
   Google Scholar
• Cleveland W. S . Robust locally weighted regression and smoothing scatterplots. J. Am. Stat. Assoc. 1979; 74: 829–836.
   Web of Science ®Google Scholar
• Coles S . An Introduction to Statistical Modeling of Extreme Values. 2001; Springer-Verlag, London.
   Google Scholar
• Dangendorf S. , Mudersbach C. , Jensen J. , Ganske A. , Hartmut H . Seasonal to decadal forcing of high water level percentiles in the German Bight throughout the last century. Ocean Dynam. 2013; 63: 533–548.
   Web of Science ®Google Scholar
• Donner R. , Sakamoto T. , Tanizuka N . Donner R. V. , Barbosa S. M . Complexity of spatio-temporal correlations in Japanese air temperature records. Nonlinear Time Series Analysis in the Geosciences – Applications in Climatology, Geodynamics, and Solar-Terrestrial Physics. 2008; Berlin: Springer. 125–154.
   Google Scholar
• Donner R. V. , Ehrcke R. , Barbosa S. M. , Wagner J. , Donges J. F. , co-authors . Spatial patterns of linear and nonparametric long-term trends in Baltic sea-level variability. Nonlinear Process Geophys. 2012; 19: 95–111.
   Web of Science ®Google Scholar
• Ekman M . Climate changes detected through the world's longest sea level series. Glob. Planet. Change. 1999; 21: 215–224.
   Web of Science ®Google Scholar
• Ekman M . A Secular Change in Storm Activity over the Baltic Sea Detected through Analysis of Sea Level Data. 2007; Åland Islands: Small Publications in Historical Geophysics 16. Summer Institute for Historical Geophysics.
   Google Scholar
• Ekman M . The Changing Level of the Baltic Sea During 300 Years: A Clue to Understanding the Earth. 2009; Åland Islands: Summer Institute for Historical Geophysics.
   Google Scholar
• Ekman M. , Mäkinen J . Recent postglacial rebound, gravity change and mantle flow in Fennoscandia. Geophys. J. Int. 1996; 126: 229–234.
   Web of Science ®Google Scholar
• Gräwe U. , Burchard H . Storm surges in the Western Baltic Sea: the present and a possible future. Clim. Dynam. 2012; 39: 165–183.
   Web of Science ®Google Scholar
• Hansen L . Hourly values of sea level observations from two stations in Denmark Hornbæk 1890–2005 and Gedser 1891–2005. DMI Technical Report. 2007; Copenhagen: Danish Meteorological Institute. No 07-09.
   Google Scholar
• Hünicke B. , Zorita E . Influence of temperature and precipitation on decadal Baltic Sea level variations in the 20th century. Tellus A. 2006; 58: 141–153.
   Google Scholar
• Hünicke B. , Zorita E . Trends in the amplitude of Baltic Sea level annual cycle. Tellus A. 2008; 60: 154–164.
   Google Scholar
• Jevrejeva S. , Moore J. , Woodworth P. , Grinsted A . Influence of large-scale atmospheric circulation on European sea level: results based on the wavelet transform method. Tellus A. 2005; 57: 183–193.
   Google Scholar
• Johansson M. , Boman H. , Kahma K. , Launiainen J . Trends in sea level variability in the Baltic Sea. Boreal Environ. Res. 2001; 6: 159–179.
   Web of Science ®Google Scholar
• Kalnay E. , Kanamitsu M. , Kistler R. , Collins W. , Deaven D. , co-authors . The NCEP/NCAR 40-year reanalysis project. Bull. Am. Meteorol. Soc. 1996; 77: 437–470.
   Web of Science ®Google Scholar
• Katz R. W. , Brush G. S. , Parlange M. B . Statistics of extremes: modelling ecological disturbances. Ecology. 2005; 86: 1124–1134.
   Web of Science ®Google Scholar
• Koenker R . Quantile Regression. 2005; Cambridge University Press, New York.
   Google Scholar
• Koenker R. , Basset G . Regression quantiles. Econometrica. 1978; 46: 33–50.
   Web of Science ®Google Scholar
• Koenker R. , D'Orey V . Computing regression quantiles. Appl. Stat. 1987; 36: 383–393.
   Web of Science ®Google Scholar
• Koenker R. , Hallock K . Quantile regression. J. Econ. Perspect. 2001; 15: 143–156.
   Web of Science ®Google Scholar
• Lehmann A. , Krauss W. , Hinrichsen H.-H . Effects of remote and local atmospheric forcing on circulation and upwelling in the Baltic Sea Journal. Tellus A. 2002; 54: 299–316.
   Google Scholar
• Menéndez M. , Woodworth P. L . Changes in extreme high water levels based on a quasi-global tide-gauge data set. J. Geophys. Res. 2010; 115: 10011.
   Web of Science ®Google Scholar
• Mudersbach C. , Jensen J . Nonstationary extreme value analysis of annual maximum water levels for designing coastal structures on the German North Sea coastline. J. Flood Risk Manage. 2010; 3: 52–62.
   Web of Science ®Google Scholar
• Samuelsson M. , Stigebrandt A . Main characteristics of the long-term sea level variability in the Baltic sea. Telllus A. 1996; 48: 672–683.
   Google Scholar
• Scotto M. G. , Barbosa S. M. , Alonso A. M . Wright L. L . Model-Based Clustering of Extreme Sea Level Heights. Sea Level Rise, Coastal Engineering, Shorelines and Tides. 2011; New York: Nova Science Publishers. 277–293. Chapter 15.
   Google Scholar
• Suursaar U. , Kullas T. , Otsmann M. , Kuts T . Extreme sea level events in the coastal waters of western Estonia. J. Sea Res. 2003; 49: 295–303.
   Web of Science ®Google Scholar
• Suursaar U. , Sooaar J . Decadal variations in mean and extreme sea level values along the Estonian coast of the Baltic Sea. Tellus A. 2007; 59: 249–260.
   Google Scholar
• Vinod H. D. , Lopez-de-Lacalle J . Maximum entropy bootstrap for time series: the meboot r package. J. Stat. Software. 2009; 29: 1–19.
   Web of Science ®Google Scholar