<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.hydrol-earth-syst-sci.net/inc/hess/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>11</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2007</publication_year>
	</journal>
	<doi>10.5194/hess-11-1455-2007</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/11/1455/2007/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/11/1455/2007/hess-11-1455-2007.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/11/1455/2007/hess-11-1455-2007.pdf</fulltext_pdf>
	<start_page>1455</start_page>
	<end_page>1468</end_page>
	<publication_date>2007-07-26</publication_date>
	<article_title content_type="html">Aspects of seasonality and flood generating circulation patterns in a mountainous catchment in south-eastern Germany</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>Th. Petrow</name>
			<email>thpetrow@gfz-potsdam.de</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>B. Merz</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>K.-E. Lindenschmidt</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>A. H. Thieken</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">GeoForschungsZentrum Potsdam, Section Engineering Hydrology, Telegrafenberg, 14473 Potsdam, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Analyses of discharge series, precipitation fields and flood producing
atmospheric circulation patterns reveal that two governing flood regimes
exist in the Mulde catchment in south-eastern Germany: frequent floods
during the winter and less frequent but sometimes extreme floods during the
summer. Differences in the statistical parameters of the discharge data can
be found within the catchment from west to east. The discharges are compared
to a number of landscape parameters that influence the discharge in the
sub-catchments. Triggering circulation patterns were assigned to all events
of the annual maximum discharge series in order to evaluate which circulation
patterns are likely to produce large floods. It can be shown that the
cyclone Vb-weather regime (TM, TRM) generates the most extreme flood events
in the Mulde catchment, whereas westerly winds produce frequently small
floods. The Vb-weather pattern is a very slowly moving low pressure field
over the Gulf of Genoa, which can bring large amounts of rainfall to the
study area. It could also be shown that even with the two flood regimes
estimates with the annual maximum series provide a safer flood protection
with a larger safety margin than using summer maximum discharge series for
extreme summer floods only. In view of climate change it is necessary to
integrate knowledge about catchment characteristics, the prevailing flood
regime or the trends of weather patterns in the estimation of extreme
events.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Bárdossy, A. and Filiz, F.: Identification of flood producing atmospheric circulation patterns, J. Hydrol., 313, 48&amp;ndash;57, 2005. </reference>
		<reference numeration="2" content_type="text"> Bárdossy, A. and Pakosch, P.: Wahrscheinlichkeiten extremer Hochwasser unter sich ändernden Klimaverhältnissen, Wasserwirtschaft, 7&amp;ndash;8, 58&amp;ndash;62, 2005. </reference>
		<reference numeration="3" content_type="text"> Benito, G., Lang, M., Barriendos, M., Llasat, M. C., Francés, F., Ouarda, T., Thorndycraft, V. R., Enzel, Y., Bardossy, A., Coeur, D., and Bobée, B.: Use of systematic, palaeoflood and historical data for the improvement of flood risk estimation Review of Scientific methods, Nat. Hazards, 31, 623&amp;ndash;643, 2004. </reference>
		<reference numeration="4" content_type="text"> DKKV (German Committee for Disaster Reduction): Flood Risk Reduction in Germany &amp;ndash; Lessons Learned from the 2002 Disaster in the Elbe Region, DKKV Publication 29e LESSONS LEARNED, Bonn, 2004. </reference>
		<reference numeration="5" content_type="text"> Douglas, E. M. and Vogel, R. M.: Probabilistic behavior of floods of record in the United States, J. Hydrol. Eng., 11(5), 482&amp;ndash;488, 2006. </reference>
		<reference numeration="6" content_type="text"> Francés, F.: Incorporating non-systematic information to flood frequency analysis using the maximum likelihood estimation method, in: The Use of Historical Data in Natural Hazards Assessments, edited by: Glade, T., Albini P., and Frances, F., 89&amp;ndash;99, Kluwer Academic Publishers, Dordrecht, 2001. </reference>
		<reference numeration="7" content_type="text"> Gerstengarbe, F. W. and Werner, P. C.: Katalog der Großwetterlagen Europas (1881&amp;ndash;2004) nach Paul Hess und Helmut Brezowsky (6th revised edition), PIK-Report No. 100, Potsdam Institute for Climate Impact Research, 2005. </reference>
		<reference numeration="8" content_type="text"> Grünewald, U., Kaltofen, M., Rolland, W., Schümberg, S., Chmielewski, R., Ahlheim, M., Sauer, T., Wagner, R., Schluchter, W., Birkner, H., Petzold, R., Radczuk, L., Eliasiewicz, R., Paus, L., and Zahn, G.: Ursachen, Verlauf und Folgen des Sommer-Hochwassers 1997 an der Oder sowie Aussagen zu bestehenden Risikopotentialen, Deutsches IDNDR-Komitee für Katastrophenvorbeugung e.V. 10b, Bonn, 1998. </reference>
		<reference numeration="9" content_type="text"> Harlin, J. and Kung, C.-S.: Parameter uncertainty and simulation of design floods in Sweden, J. Hydrol., 137, 209&amp;ndash;230, 1992. </reference>
		<reference numeration="10" content_type="text"> Hosking, J. R. M. and Wallis, J. R.: Regional frequency analysis, Cambridge University Press, New York, 1997. </reference>
		<reference numeration="11" content_type="text"> Institute of Hydrology: Flood estimation handbook, Institute of Hydrology, Crowmarsh Gifford, Wallingford, UK, Vol. 1&amp;ndash;5, 1999. </reference>
		<reference numeration="12" content_type="text"> Jain, S. and Lall, U.: Magnitude and timing of annual maximum floods: Trends and large-scale climatic associations for the Blacksmith Fork River, Utah, Water Resour. Res., 36(12), 3641&amp;ndash;3651, 2000. </reference>
		<reference numeration="13" content_type="text"> Kästner, W.: How do Großwetterlagen become flood-producing weather situations in Bavaria?, DGM (in German), 41(3), 107&amp;ndash;112, 1997. </reference>
		<reference numeration="14" content_type="text"> Khaliq, M. N., Ouarda, T. B. M. J., Ondo, J.-C., Gachon, P., and Bobée, B.: Frequency analysis of a sequence of dependent and/or non-stationary hydro-meteorological observations: A review, J. Hydrol., 329, 534&amp;ndash;552, 2006. </reference>
		<reference numeration="15" content_type="text"> Klem\ves, V.: Probability of extreme hydrometeorological events&amp;ndash;a different approach, in: Extreme hydrological events: precipitation, floods and droughts, edited by: Kundzewicz, Z. W., Rosbjerg, D., Simonovic, S. P., and Takeuchi, K., IAHS Publ., 213, 167&amp;ndash;176, 1993. </reference>
		<reference numeration="16" content_type="text"> Kundzewicz, Z. W. and Robson, A. J.: Change detection in hydrological records &amp;ndash; a review of the methodology, Hydrol. Sci., 49(1), 7&amp;ndash;19, 2004. </reference>
		<reference numeration="17" content_type="text"> Lindström, G. and Bergström, S.: Runoff trends in Sweden 1807&amp;ndash;2002, Hydrol. Sci., 49(1), 69&amp;ndash;83, 2004. </reference>
		<reference numeration="18" content_type="text"> Merz, B.: Hochwasserrisiken: Grenzen und Möglichkeiten der Risikoabschätzung, Schweizerbart&apos;sche Verlagsbuchhandlung, Stuttgart, 2006. </reference>
		<reference numeration="19" content_type="text"> Merz, B. and Thieken, A. H.: Separating natural and epistemic uncertainty in flood frequency analysis, J. Hydrol., 309, 114&amp;ndash;132, 2005. </reference>
		<reference numeration="20" content_type="text"> Merz, R. and Blöschl, G.: A process typology of regional floods, Water Resour. Res., 39(12), 1340, doi:10.1029/2002WR001952, 2003. </reference>
		<reference numeration="21" content_type="text"> Merz, R., Blöschl, G., and Parajka, J.: Raum-zeitliche Variabilität von Ereignisabflussbeiwerten in Österreich, Hydrologie und Wasserbewirtschaftung, 50(1), 2&amp;ndash;11, 2006. </reference>
		<reference numeration="22" content_type="text"> Ouarda, T. B. M. J., Cunderlik, J. M., St-Hilaire, A., Barbet, M., Bruneau, P., and Bobée, B.: Data-based comparison of seasonality-based regional flood frequency methods, J. Hydrol., 330, 329&amp;ndash;339, 2006. </reference>
		<reference numeration="23" content_type="text"> Onoz, B. and Bayazit, M.: Best-fit distributions of largest available flood samples, J. Hydrol., 167, 195&amp;ndash;208, 1995. </reference>
		<reference numeration="24" content_type="text"> Pearson, C. P.: New Zealand Regional flood frequency analysis using L-Moments, J. Hydrol., 30(2), 53&amp;ndash;64, 1991. </reference>
		<reference numeration="25" content_type="text"> Pohl, R.: Historische Hochwasser aus dem Erzgebirge, Wasserbauliche Mitteilungen Vol. 28, Institut für Wasserbau und Technische Hydromechanik TU Dresden, 2004. </reference>
		<reference numeration="26" content_type="text"> Sivapalan, M., Blöschl, G., Merz, R., and Gutknecht, D.: Linking flood frequency to long-term water balance: Incorporating effects of seasonality, Water Resour. Res., 41, W06012, doi:10.1029/2004WR003439, 2005. </reference>
		<reference numeration="27" content_type="text"> Stedinger, J. R.: Estimating a regional flood frequency distribution, Water Resour. Res., 19(2), 503&amp;ndash;510, 1983. </reference>
		<reference numeration="28" content_type="text"> Stedinger, J. R.: Flood frequency analysis and statistical estimation of flood risk, in: Inland Flood Hazards &amp;ndash; Human, Riparian and aquatic communities, edited by: Wohl, E. E., 12, Cambridge University Press, Cambridge, 2000. </reference>
		<reference numeration="29" content_type="text"> St. George, S.: Streamflow in the Winnipeg River basin, Canada: Trends, extremes and climate linkages, J. Hydrol., 332, 396&amp;ndash;411, 2007. </reference>
		<reference numeration="30" content_type="text"> Steinbrich, A., Uhlenbrook, S., Reich, Th., and Kolokotronis, V.: Raum-zeitliche Zusammenhänge zwischen Großwetterlagen und Starkniederschlägen in Baden-Württemberg, Wasserwirtschaft, 11, 14&amp;ndash;19, 2005. </reference>
		<reference numeration="31" content_type="text"> Svenson, C., Kundzewicz, Z. W., and Maurer, Th.: Trend detection in river flow series: 2. Flood and low-flow index series, Hydrol. Sci., 50(5), 811&amp;ndash;824, 2005. </reference>
		<reference numeration="32" content_type="text"> Thieken, A. H., Petrow, Th., Kreibich, H., and Merz, B.: Flood losses, insurance cover and precautionary behaviour of private households affected by the August 2002 flood in Germany, Risk Analysis, 26(2), 383&amp;ndash;395, 2006. </reference>
		<reference numeration="33" content_type="text"> Vogel, R. M. and Wilson, I.: Probability distribution of annual maximum, mean, and minimum streamflows in the United States, J. Hydrol. Eng., 1(2), 69&amp;ndash;76, 1996. </reference>
		<reference numeration="34" content_type="text"> Wasserwirtschaftsamt Bayreuth: http://www.wwa-bt.bayern.de/gewaesser/wasserbau/hochwasserschutz/hwku.htm (access on 29 June 2007), 2006. </reference>
		<reference numeration="35" content_type="text"> Webb, R. H. and Betancourt, J. K.: Climate variability and flood frequency of the Santa Cruz River, Pima County, Arizona, U.S. Geological Survey Water Supply Paper, 2379, 1992. </reference>
	</references>
</article>

