Skip to main content

REGIONAL CLIMATE CHANGE: To be included in Future Flood Risk Analysis?

  • Conference paper
Book cover Flood Risk Management: Hazards, Vulnerability and Mitigation Measures

Part of the book series: NATO Science Series ((NAIV,volume 67))

Abstract

Floods and other seemingly weather related natural disasters have been increasing not only by reported damage but also by frequency and intensity (www.munichre.com). As global climate models predict a clear increase in temperature and weather extremes (IPCC 2001) due to increase in the atmospheric concentration of green house gases (GHG) it is obvious to relate the reported increase in flood risk to climate change. However, extreme precipitation is neither correctly modelled in existing global models nor correctly covered in existing statistical analysis of the past due to its inherent variability in space and time. This is specially true for the data base of future risk analysis as along with the spatial extend of typical flood prone catchments the need for regional and local estimates of extreme precipitation is increasingly important. New methods as well as new combinations of existing methods are required to address climate change related flood risk on the regional level.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bernhofer Ch. and Goldberg V. (2001) CLISAX – Statistische Untersuchungen regionaler Klimatrends in Sachsen. Final Report of the Saxon State Office for Environment and Geology, Dresden.

    Google Scholar 

  • Bernhofer Ch., Goldberg V. and Franke J. (2002) CLISAX II – Assimilation von standardisierten und abgeleiteten Klimadaten für die Region Sachsen und Ausbau der Sächsischen Klimadatenbank. Final Report of the Saxon State Office for Environment and Geology, Dresden.

    Google Scholar 

  • Blümel K., Klämt A., Malitz G., Matthäus H., Rachner M. and Richter D. (2001) Hydrometeorologische Untersuchungen zum Problem der Klimaveränderungen. Ber. Dt. Wetterdienst 219, Offenbach.

    Google Scholar 

  • Chmielewski F.M. (2003) KLIVEG – Mögliche Auswirkungen klimatischer Veränderungen auf die Vegetationsentwicklung in Sachsen. Final Report of the Saxon State Office for Environment and Geology, Dresden.

    Google Scholar 

  • Conway D. and Jones P.D. (1998) The use of weather types and air flow indices for GCM downscaling. J. Hydrol. 212/213, 348–361.

    Article  Google Scholar 

  • Egger J. (1995) Regional statistical-dynamical climate modelling tests. Contr. Phys. Atmos. 68: 281–289.

    Google Scholar 

  • Enders G. (1999) Klimaänderungen in Bayern und ihre Auswirkungen. Final Report, Bayerischer Klimaforschungsverbund (BayForKlim), Ludwig Maximilian University, Munich.

    Google Scholar 

  • Enke W. and Spekat A. (1997) Downscaling climate model outputs into local and regional weather elements by classification and regression. Climate Research 8, 195–207.

    Google Scholar 

  • Enke W., Deutschländer T. and Schneider F. (2005) Results of 5 regional climate studies applying a weather pattern based downscaling method to ECHAM4 climate simulations. Met. Z. (in press).

    Google Scholar 

  • Flemming G. (2001) Angewandte Klimatologie von Sachsen. Basis- und Zustandsklima im Überblick. Tharandter Klimaprotokolle 4, Dresden University of Technology.

    Google Scholar 

  • Franke J., Goldberg V., Eichelmann U., Freydank E. and Bernhofer Ch. (2004) Statistical analysis of regional climate trends in Saxony. Climate Research 27 (2), 145–150.

    Article  Google Scholar 

  • Fuentes U. and Heimann D. (1996) Verification of statistical dynamical downscaling in the Alpine region. Climate Research 7, 151–168.

    Google Scholar 

  • Herzog J. and Müller-Westermeier G. (1998) Homogenitätsprüfung und Homogenisierung klimatologischer Messreihen im Deutschen Wetterdienst. Ber. Dt. Wetterdienst 202, Offenbach.

    Google Scholar 

  • HMU-MD (1973) Klima und Witterung im Erzgebirge. Hydrometeorologick’y Ústav CSSR, Meteorologischer Dienst der DDR (eds) Abh. Meteorol. Dienst DDR 104, Berlin.

    Google Scholar 

  • IPCC (2001) Third Assessment Report of Working Group I of the IPCC. Summary for Policymakers. Shanghai.

    Google Scholar 

  • Mann M.E., Bradley R.S. and Hughes M.K. (1999) Northern Hemisphere Temperatures During the Past Millennium: Inferences, Uncertainties, and Limitations. Geophysical Research Letters 26 (6): 759–762.

    Article  Google Scholar 

  • Owen S.J. (1992) An implementation of natural neighbour interpolation in three dimensions. MS thesis, Brigham Young University, Provo, UT.

    Google Scholar 

  • Parlow E. (1994) Faktoren und Modelle für das Klima am Oberrhein – Ansätze und Ergebnisse des Regio-Klima-Projektes REKLIP. Geogr. Rundsch. 3, 160–167.

    Google Scholar 

  • Rapp J. (2000) Konzeption, Problematik und Ergebnisse klimatologischer Trendanalysen für Europa und Deutschland. Ber. Dt. Wetterdienst 212, Offenbach.

    Google Scholar 

  • Rapp J. and Schönwiese CD (1995) Klimatrend-Atlas Deutschland 1891–1990. Frankfurt Geowiss. Arb. 5, University of Frankfurt (Main).

    Google Scholar 

  • Schnur R. and Lettenmaier D.P. (1998) A case study of statistical downscaling in Australia using weather classification by recursive partitioning. J. Hydrol. 212/213, 362–379.

    Article  Google Scholar 

  • Schönwiese C.D. (1995) Klimaänderungen. Daten, Analysen, Prognosen. Springer, Berlin.

    Google Scholar 

  • Schönwiese C.D. and Malcher J. (1985) Nicht Stationarität oder Inhomogenität? Analyse klimatologischer Zeitreihen. Wetter Leben (Vienna) 37, 181–193.

    Google Scholar 

  • Schrödter H. (1985) VerdunstungAnwendungsorientierte Messverfahren und Bestimmungsmethoden. Springer, Berlin.

    Google Scholar 

  • Schwanecke W. and Koch D. (1970) Mittelgebirge und Hügelland der DDR. Klimastufen, zusammengestellt nach Ergebnissen der forstlichen Standorterkundung von 1956– 1970. Akad. Landwirt. Wiss. DDR, Potsdam.

    Google Scholar 

  • Werner P.C. Gerstengarbe F.W. and Oesterle H. (2001) Klimatypänderungen in Deutschland im 20. Jahrhundert. Climate status report 2001, Deutscher Wetterdienst, Offenbach.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer

About this paper

Cite this paper

BERNHOFER, C., FRANKE, J., GOLDBERG, V., SEEGERT, J., KÜCHLER, W. (2006). REGIONAL CLIMATE CHANGE: To be included in Future Flood Risk Analysis?. In: Schanze, J., Zeman, E., Marsalek, J. (eds) Flood Risk Management: Hazards, Vulnerability and Mitigation Measures. NATO Science Series, vol 67. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-4598-1_8

Download citation

Publish with us

Policies and ethics