Extreme floods in central Europe over the past 500 years: Role of cyclone pathway ''Zugstrasse Vb''

[1] Anthropogenically induced climate change has been hypothesized to add to the risk of extreme river floods because a warmer atmosphere can carry more water. In the case of the central European rivers Elbe and Oder, another possibility that has been considered is a more frequent occurrence of a weather situation of the type ‘‘Zugstrasse Vb,’’ where a low-pressure system travels from the Adriatic region northeastward, carrying moist air and bringing orographic rainfall in the mountainous catchment areas (Erzgebirge, Sudeten, and Beskids). Analysis of long, homogeneous records of past floods allows us to test such ideas. M. Mudelsee and co-workers recently presented flood records for the middle parts of the Elbe and Oder, which go continuously back to A.D. 1021 and A.D. 1269, respectively. Here we review the reconstruction and assess the data quality of the records, which are based on combining documentary data from the interval up to 1850 and measurements thereafter, finding both the Elbe and Oder records to provide reliable information on heavy floods at least since A.D. 1500. We explain that the statistical method of kernel occurrence rate estimation can overcome deficiencies of techniques previously used to investigate trends in the occurrence of climatic extremes, because it (1) allows nonmonotonic trends, (2) imposes no parametric restrictions, and (3) provides confidence bands, which are essential for evaluating whether observed trends are real or came by chance into the data. We further give a hypothesis test that can be used to evaluate monotonic trends. On the basis of these data and methods, we find for both the Elbe and Oder rivers (1) significant downward trends in winter flood risk during the twentieth century, (2) no significant trends in summer flood risk in the twentieth century, and (3) significant variations in flood risk during past centuries, with notable differences between the Elbe and Oder. The observed trends are shown to be both robust against data uncertainties and only slightly sensitive to land use changes or river engineering, lending support for climatic influences on flood occurrence rate. In the case of winter floods, regional warming during the twentieth century has likely reduced winter flood risk via a reduced rate of strong river freezing (breaking ice at the end of winter may function as a water barrier and enhance a high water stage severely). In the case of summer floods, correlation analysis shows a significant, but weak, relation between flood occurrence and meridional airflow, compatible with a ‘‘Zugstrasse Vb’’ weather situation. The weakness of this relation, together with the uncertainty about whether this weather situation became more frequent, explains the absence of trends in summer flood risk for the Elbe and Oder in the twentieth century. We finally draw conclusions about flood disaster management and modeling of flood occurrence under a changed climate. INDEX TERMS: 1610 Global Change: Atmosphere (0315, 0325); 1620 Global Change: Climate dynamics (3309); 1655 Global Change: Water cycles (1836); 1821 Hydrology: Floods; KEYWORDS: climate change, extreme events, flood risk

[1]  H. Storch,et al.  Statistical Analysis in Climate Research , 2000 .

[2]  T. V. Ommen,et al.  Observed climate variability and change , 2002 .

[3]  Elena Xoplaki,et al.  The Late Maunder Minimum (1675–1715) – A Key Period forStudying Decadal Scale Climatic Change in Europe , 2001 .

[4]  Manfred Mudelsee,et al.  Estimating Pearson's Correlation Coefficient with Bootstrap Confidence Interval from Serially Dependent Time Series , 2003 .

[5]  J. Marron,et al.  Asymptotic Optimality of the Least-Squares Cross-Validation Bandwidth for Kernel Estimates of Intensity Functions , 1991 .

[6]  Andrea M. Philipp,et al.  Das Hochwasserereignis in Mitteleuropa im August 2002 aus klimatologischer Perspektive , 2003 .

[7]  Axel Bronstert,et al.  River flooding in Germany: Influenced by climate change? , 1995 .

[8]  C. Schär,et al.  Detection Probability of Trends in Rare Events: Theory and Application to Heavy Precipitation in the Alpine Region , 2001 .

[9]  P. D. Batesa,et al.  A simple raster-based model for flood inundation simulation , 2000 .

[10]  J. Hurrell Decadal Trends in the North Atlantic Oscillation: Regional Temperatures and Precipitation , 1995, Science.

[11]  J. Kwadijk,et al.  Impact of Climate Change on Hydrological Regimes and Water Resources Management in the Rhine Basin , 2001 .

[12]  David R. Cox,et al.  The statistical analysis of series of events , 1966 .

[13]  J. Stehlík,et al.  The August 2002 flood in the Czech Republic , 2003 .

[14]  M. Noguer,et al.  Climate change 2001: The scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2002 .

[15]  Malcolm R Leadbetter,et al.  On a basis for 'Peaks over Threshold' modeling , 1991 .

[16]  U. Ulbrich,et al.  The central European floods of August 2002: Part 1 – Rainfall periods and flood development , 2003 .

[17]  Arko Lucieer,et al.  Assessing the effects of land use changes on floods in the meuse and oder catchment , 2001 .

[18]  John R. Lanzante,et al.  Resistant, Robust and Non-Parametric Techniques for the Analysis of Climate Data: Theory and Examples, Including Applications to Historical Radiosonde Station Data , 1996 .

[19]  N. Diodato Local Models for Rainstorm-induced Hazard Analysis on Mediterranean River-torrential Geomorphological Systems , 2022 .

[20]  F. Firbas,et al.  Untersuchungen über die Entstehung der heutigen Waldstufen in den Sudeten , 1949, Planta.

[21]  G. Tetzlaff,et al.  Quellentexte zur Witterungsgeschichte Europas von der - Zeitwende bis zum Jahr 1850 - Hydrographie Band 1, Teil 5 - (1751-1800) , 2000 .

[22]  Raquel V. Francisco,et al.  Regional Climate Information—Evaluation and Projections , 2001 .

[23]  H. Wanner,et al.  Reconstruction of sea level pressure fields over the Eastern North Atlantic and Europe back to 1500 , 2002 .

[24]  B. Silverman,et al.  Kernel Density Estimation Using the Fast Fourier Transform , 1982 .

[25]  R. Vogel,et al.  Global warming and the hydrologic cycle , 1996 .

[26]  J. Christensen,et al.  Climate modelling: Severe summertime flooding in Europe , 2003, Nature.

[27]  Documentary evidence on climate in sixteenth-century Europe , 1999 .

[28]  L. Starkel Extreme rainfalls and river floods in Europe during the last millenium , 2001 .

[29]  A. Robson,et al.  Evidence for trends in UK flooding , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[30]  U. Ulbrich,et al.  The central European floods of August 2002: Part 2 –Synoptic causes and considerations with respect to climatic change , 2003 .

[31]  Peter Hall,et al.  Bootstrap Confidence Regions for the Intensity of a Poisson Point Process , 1996 .

[32]  P. Diggle A Kernel Method for Smoothing Point Process Data , 1985 .

[33]  Markus Disse,et al.  Flood Events in the Rhine Basin: Genesis, Influences and Mitigation , 2001 .

[34]  Uwe Grünewald,et al.  Hochwasservorsorge in Deutschland : Lernen aus der Katastrophe 2002 im Elbegebiet , 2004 .

[35]  H. Caspary,et al.  Markieren die Winterhochwasser 1990 und 1993 das Ende der Stationarität in der Hochwasserhydrologie infolge von Klimaänderungen , 1995 .

[36]  J. Kurths,et al.  Solar variability : simple models and proxy data , 1997 .

[37]  Clive R. Loader A Log-Linear Model for a Poisson Process Change Point , 1992 .

[38]  Jucundus Jacobeit,et al.  Links Between Flood Events In Central Europe Since Ad 1500 and The Large-scale Atmospheric Circulation , 2002 .

[39]  J. Corcoran Modelling Extremal Events for Insurance and Finance , 2002 .

[40]  U. Grünewald,et al.  Ursachen, Verlauf und Folgen des Sommerhochwassers 1997 an der Oder sowie Aussagen zu bestehenden Risikopotentialen , 1998 .

[41]  Jürgen Ihringer,et al.  Statistical analysis of the flood situation and assessment of the impact of diking measures along the Elbe (Labe) river , 2002 .

[42]  Rüdiger Glaser,et al.  Links between flood events in central Europe since AD 1500 and large‐scale atmospheric circulation modes , 2003 .

[43]  R. R. van der Ploeg,et al.  Elbe river flood peaks and postwar agricultural land use in East Germany , 2001, Naturwissenschaften.

[44]  C. Pfister,et al.  Hochwasser in Mitteleuropa seit 1500 und ihre Beziehung zuratmosphaerischen Zirkulation , 2001 .

[45]  Z. Kundzewicz,et al.  Searching for change in hydrological data , 2004 .

[46]  M. Mudelsee,et al.  No upward trends in the occurrence of extreme floods in central Europe , 2003, Nature.

[47]  A. Black Major flooding and increased flood frequency in Scotland since 1988 , 1995 .

[48]  B. Silverman,et al.  Algorithm AS 176: Kernel Density Estimation Using the Fast Fourier Transform , 1982 .

[49]  Manfred Mudelsee,et al.  TAUEST: a computer program for estimating persistence in unevenly spaced weather/climate time series , 2002 .

[50]  PAUL EMBRECHTS,et al.  Modelling of extremal events in insurance and finance , 1994, Math. Methods Oper. Res..

[51]  H. Wanner,et al.  Reconstruction of monthly NAO and EU indices back to AD 1675 , 1999 .

[52]  C. Klüppelberg,et al.  Modelling Extremal Events , 1997 .

[53]  Uwe Grünewald,et al.  Flood Risk in Central Europe , 2003, Science.

[54]  T. N. Palmer,et al.  Quantifying the risk of extreme seasonal precipitation events in a changing climate , 2002, Nature.

[55]  Peter Hall,et al.  On Pseudodata Methods for Removing Boundary Effects in Kernel Density Estimation , 1996 .

[56]  G. Benito,et al.  Paleofloods and historical floods of the Ardèche River, France , 2003 .

[57]  H. Caspary Recent winter floods in Germany caused by changes in the atmospheric circulation across Europe , 1995 .

[58]  G. Bürger,et al.  Climate change scenarios and runoff response in the Mulde catchment (Southern Elbe, Germany) , 2002 .