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<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>13</volume_number>
		<issue_number>7</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hess-13-1031-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/13/1031/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/13/1031/2009/hess-13-1031-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/13/1031/2009/hess-13-1031-2009.pdf</fulltext_pdf>
	<start_page>1031</start_page>
	<end_page>1043</end_page>
	<publication_date>2009-07-08</publication_date>
	<article_title content_type="html">Evaluation of a probabilistic hydrometeorological forecast system</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>S. Jaun</name>
			<email>simon.jaun@wsl.ch</email>
		</author>
		<author numeration="2" affiliations="3">
			<name>B. Ahrens</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland</affiliation>
		<affiliation numeration="2" content_type="html">Swiss Federal Research Institute WSL, Birmensdorf, Switzerland</affiliation>
		<affiliation numeration="3" content_type="html">Institute for Atmosphere and Environment, Goethe-University Frankfurt a. M., Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Medium range hydrological forecasts in mesoscale catchments are only possible
with the use of hydrological models driven by meteorological forecasts, which
in particular contribute quantitative precipitation forecasts (QPF). QPFs are
accompanied by large uncertainties, especially for longer lead times, which
are propagated within the hydrometeorological model system. To deal with this
limitation of predictability, a probabilistic forecasting system is tested,
which is based on a hydrological-meteorological ensemble prediction system.
The meteorological component of the system is the operational limited-area
ensemble prediction system COSMO-LEPS that downscales the global ECMWF
ensemble to a horizontal resolution of 10 km, while the hydrological
component is based on the semi-distributed hydrological model PREVAH with a
spatial resolution of 500 m.
&lt;br&gt;&lt;br&gt;
Earlier studies have mostly addressed the potential benefits of
hydrometeorological ensemble systems in short case studies. Here we present
an analysis of hydrological ensemble hindcasts for two years (2005 and 2006).
It is shown that the ensemble covers the uncertainty during different weather
situations with appropriate spread. The ensemble also shows advantages over a
corresponding deterministic forecast, even under consideration of an
artificial spread.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Ahrens, B. and Jaun, S.: On evaluation of ensemble precipitation forecasts with observation-based ensembles, Adv. Geosci., 10, 139–144, prefixwww.adv-geosci.net/10/139/2007/, 2007. </reference>
		<reference numeration="2" content_type="text"> Ahrens, B. and Walser, A.: Information-based skill scores for probabilistic forecasts, Mon. Weather Rev., 136, 352–363, \doi10.1175/2007MWR1931.1, 2008. </reference>
		<reference numeration="3" content_type="text"> Anderson, J.: A method for producing and evaluating probabilistic forecasts from ensemble model integration, J. Climate, 9, 1518–1530, 1996. </reference>
		<reference numeration="4" content_type="text"> Bartholmes, J. C. and Todini, E.: Coupling meteorological and hydrological models for flood forecasting, Hydrol. Earth Syst. Sci., 9, 333–346, 2005. </reference>
		<reference numeration="5" content_type="text"> Bartholmes, J. C., Thielen, J., Ramos, M. H., and Gentilini, S.: The european flood alert system EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts, Hydrol. Earth Syst. Sci., 13, 141–153, 2009. </reference>
		<reference numeration="6" content_type="text"> Bergström, S. and Forsman, A.: Development of a conceptual deterministic rainfall-runoff model, Nord. Hydrol., 4, 147–170, 1973. </reference>
		<reference numeration="7" content_type="text"> Bezzola, G R. and Hegg, C. (Eds.): Ereignisanalyse Hochwasser 2005, Teil 1 – Prozesse, Schäden und erste Einordnung, no 0707 in Umweltwissen, Bundesamt für Umwelt BAFU, Bern, Eidg. Forschungsanstalt WSL, Birmensdorf, online available at: prefixhttp://www.bafu.admin.ch/publikationen/publikation/00044/, 2007. </reference>
		<reference numeration="8" content_type="text"> Buizza, R.: Encyclopaedia of Atmospheric Sciences, chap. Weather Prediction: Ensemble Prediction, Academic Press, London, 2546–2557, 2003. </reference>
		<reference numeration="9" content_type="text"> Buizza, R. and Palmer, T.: The singular-vector structure of the atmospheric global circulation, J. Atmos. Sci., 52, 1434–1456, \doi10.1175/1520-0469(1995)052&lt;1434:TSVSOT&gt;2.0.CO;2, 1995. </reference>
		<reference numeration="10" content_type="text"> Cloke, H. and Pappenberger, F.: Ensemble flood forecasting: a review, J. Hydrol., \doi10.1016/j.jhydrol.2009.06.005, in press, 2009. </reference>
		<reference numeration="11" content_type="text"> Diomede, T., Nerozzi, F., Paccagnella, T., and Todini, E.: The use of meteorological analogues to account for LAM QPF uncertainty, Hydrol. Earth Syst. Sci., 12, 141–157, 2008. </reference>
		<reference numeration="12" content_type="text"> Ehrendorfer, M.: Predicting the uncertainty of numerical weather forecasts: a review, Meteorol. Z., 6, 147–183, 1997. </reference>
		<reference numeration="13" content_type="text"> Flügel, W.-A.: Combining GIS with regional hydrological modelling using hydrological response units (HRUs): An application from Germany, Math. Comput. Simulat., 43, 297–304, \doi10.1016/S0378-4754(97)00013-X, 1997. </reference>
		<reference numeration="14" content_type="text"> Fundel, F., Liniger, M., Walser, A., Frei, C., and Appenzeller, C.: Reliable precipitation forecasts for a limited area ensemble forecast system using reforecasts, Mon. Weather Rev., in review, 2009. </reference>
		<reference numeration="15" content_type="text"> Gurtz, J., Baltensweiler, A., and Lang, H.: Spatially distributed hydrotope-based modelling of evapotranspiration and runoff in mountainous basins, Hydrol. Process., 13, 2751–2768, \doi10.1002/(SICI)1099-1085(19991215)13:17&lt;2751::AID-HYP897&gt;3.0.CO;2-O, 1999. </reference>
		<reference numeration="16" content_type="text"> Gurtz, J., Zappa, M., Jasper, K., Lang, H., Verbunt, M., Badoux, A., and Vitvar, T.: A comparative study in modelling runoff and its components in two mountainous catchments, Hydrol. Process., 17, 297–311, \doi10.1002/hyp.1125, 2003. </reference>
		<reference numeration="17" content_type="text"> Hamill, T., Whitaker, J., and Wei, X.: Ensemble reforecasting: improving medium-range forecast skill using retrospective forecasts, Mon. Weather Rev., 132, 1434–1447, \doi10.1175/1520-0493(2004)132&lt;1434:ERIMFS&gt;2.0.CO;2, 2004. </reference>
		<reference numeration="18" content_type="text"> Hohenegger, C., Walser, A., Langhans, W., and Schär, C.: Cloud-resolving ensemble simulations of the August 2005 Alpine flood, Q. J. Roy. Meteorol. Soc., 134, 889–904, \doi10.1002/qj.252, prefixhttp://dx.doi.org/10.1002/qj.252, 2008. </reference>
		<reference numeration="19" content_type="text"> Houtekamer, P L., Lefaivre, L., Derome, J., Ritchie, H., and Mitchell, H L.: A system simulation approach to ensemble prediction, Mon. Weather Rev., 124, 1225–1242, \doi10.1175/1520-0493(1996)124&lt;1225:ASSATE&gt;2.0.CO;2, 1996. </reference>
		<reference numeration="20" content_type="text"> Jaun, S., Ahrens, B., Walser, A., Ewen, T., and Schär, C.: A probabilistic view on the August 2005 floods in the upper Rhine catchment, Nat. Hazards Earth Syst. Sci., 8, 281–291, 2008. </reference>
		<reference numeration="21" content_type="text"> Komma, J., Reszler, C., Blöschl, G., and Haiden, T.: Ensemble prediction of floods – catchment non-linearity and forecast probabilities, Nat. Hazards Earth Syst. Sci., 7, 431–444, 2007. </reference>
		<reference numeration="22" content_type="text"> Laio, F. and Tamea, S.: Verification tools for probabilistic forecasts of continuous hydrological variables, Hydrol. Earth Syst. Sci., 11, 1267–1277, 2007. </reference>
		<reference numeration="23" content_type="text"> Lalaurette, F., Bidlot, J., Ferranti, L., Ghelli, A., Grazzini, F., Leutbecher, M., Paulsen, J.-E., and Viterbo, P.: Verification statistics and evaluations of ECMWF forecasts in 2003–2004, Tech. Rep. 463, ECMWF, Shinfield Park Reading, Berks RG2 9AX, online available at: prefixhttp://www.ecmwf.int/publications/library/ecpublications/_pdf% /tm/401-500/tm463.pdf, 2005. </reference>
		<reference numeration="24" content_type="text"> Legates, D R. and McCabe, G J.: Evaluating the use of &quot;goodness-of-fit&quot; measures in hydrologic and hydroclimatic model validation, Water Resour. Res., 35, 233–242, \doi10.1029/1998WR900018, 1999. </reference>
		<reference numeration="25" content_type="text"> Lindström, G., Johansson, B., Persson, M., Gardelin, M., and Bergström, S.: Development and test of the distributed HBV-96 hydrological model, J. Hydrol., 201, 272–288, \doi10.1016/S0022-1694(97)00041-3, 1997. </reference>
		<reference numeration="26" content_type="text"> Marsigli, C., Montani, A., Nerozzi, F., Paccagnella, T., Tibaldi, S., Molteni, F., and Buizza, R.: A Strategy for high-resolution ensemble prediction. II: Limited-area experiments in four Alpine flood events, Q. J. Roy. Meteorol. Soc., 127, 2095–2115, \doi10.1256/smsqj.57612, 2001. </reference>
		<reference numeration="27" content_type="text"> Marsigli, C., Boccanera, F., Montani, A., and Paccagnella, T.: The COSMO-LEPS mesoscale ensemble system: validation of the methodology and verification, Nonlin. Processes Geophys., 12, 527–536, 2005. </reference>
		<reference numeration="28" content_type="text"> Mass, C., Ovens, D., Westrick, K., and Colle, B.: Does Increasing Horizontal Resolution Produce More Skillful Forecasts?, B. Am. Meteorol. Soc., 83, 407–430, doi:10.1175%2F1520-0477%282002%29083%3C0407%3ADIHRPM%3E2.3.CO%3B2, 2002. </reference>
		<reference numeration="29" content_type="text"> Molteni, F., Buizza, R., Palmer, T., and Petroliagis, T.: The ECMWF Ensemble Prediction System: Methodology and validation, Q. J. Roy. Meteorol. Soc., 122, 73–119, \doi10.1002/qj.49712252905, 1996. </reference>
		<reference numeration="30" content_type="text"> Molteni, F., Buizza, R., Marsigli, C., Montani, A., Nerozzi, F., and Paccagnelli, T.: A Strategy for high-resolution ensemble prediction. I: Definition of representative members and global-model experiments., Q. J. Roy. Meteorol. Soc., 127, 2069–2094, \doi10.1256/smsqj.57611, 2001. </reference>
		<reference numeration="31" content_type="text"> Montani, A., Capaldo, M., Cesari, D., Marsigli, C., Modigliani, U., Nerozzi, F., Paccagnella, T., Patruno, P., and Tibaldi, S.: Operational limited-area ensemble forecasts based on the Lokal Modell, ECMWF Newsletter, 98, 2–7, online available at: prefixhttp://www.ecmwf.int/publications/newsletters/pdf/98.pdf, 2003. </reference>
		<reference numeration="32" content_type="text"> Müller, W A., Appenzeller, C., Doblas-Reyes, F J., and Liniger, M A.: A debiased ranked probability skill score to evaluate probabilistic ensemble forecasts with small ensemble sizes, J. Climate, 18, 1513–1523, \doi10.1175/JCLI3361.1, 2005. </reference>
		<reference numeration="33" content_type="text"> Nash, J E. and Sutcliffe, J V.: River flow forecasting through conceptual models: Part 1 - A discussion of principles, J. Hydrol., 10, 282–290, \doi10.1016/0022-1694(70)90255-6, 1970. </reference>
		<reference numeration="34" content_type="text"> Olsson, J. and Lindström, G.: Evaluation and calibration of operational hydrological ensemble forecasts in Sweden, J. Hydrol., 350, 14–24, \doi10.1016/j.jhydrol.2007.11.010, 2007. </reference>
		<reference numeration="35" content_type="text"> Pappenberger, F. and Beven, K J.: Ignorance is bliss: Or seven reasons not to use uncertainty analysis, Water Resour. Res., 42, 1–8, \doi10.1029/2005WR004820, 2006. </reference>
		<reference numeration="36" content_type="text"> Pappenberger, F., Beven, K. J., Hunter, N. M., Bates, P. D., Gouweleeuw, B. T., Thielen, J., and de Roo, A. P. J.: Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS), Hydrol. Earth Syst. Sci., 9, 381–393, 2005. </reference>
		<reference numeration="37" content_type="text"> R Development Core Team: R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, prefixhttp://www.R-project.org, ISBN 3-900051-07-0, 2008. </reference>
		<reference numeration="38" content_type="text"> Roulin, E. and Vannitsem, S.: Skill of Medium-Range Hydrological Ensemble Predictions, J. Hydrometeorol., 6, 729–744, \doi10.1175/JHM436.1, 2005. </reference>
		<reference numeration="39" content_type="text"> Rousset, F., Habets, F., Martin, E., and Noilhan, J.: Ensemble streamflow forecasts over France, ECMWF Newsletter, 111, 21–27, prefixhttp://www.ecmwf.int/publications/newsletters/pdf/111.pdf, 2007. </reference>
		<reference numeration="40" content_type="text"> Scherrer, S C., Appenzeller, C., Eckert, P., and Cattani, D.: Analysis of the spread-skill Relations using the ECMWF ensemble prediction system over Europe, Weather Forecast., 19, 522–565, 2004. </reference>
		<reference numeration="41" content_type="text"> Siccardi, F., Boni, G., Ferraris, L., and Rudari, R.: A hydrometeorological approach for probabilistic flood forecast, J. Geophys. Res., 110, 1–9, \doi10.1029/2004JD005314, 2005. </reference>
		<reference numeration="42" content_type="text"> Steppeler, J., Doms, G., Schättler, U., Bitzer, H.-W., Gassmann, A., Damrath, U., and Gregoric, G.: Meso-gamma scale forecasts using the nonhydrostatic model LM, Meteorol. Atmos. Phys., 82, 75–96, \doi10.1007/s00703-001-0592-9, 2003. </reference>
		<reference numeration="43" content_type="text"> Todini, E.: Role and treatment of uncertainty in real-time flood forecasting, Hydrol. Process., 18, 2743–2746, \doi10.1002/hyp.5687, 2004. </reference>
		<reference numeration="44" content_type="text"> Toth, Z. and Kalnay, E.: Ensemble forecasting at NCEP and the breeding method, Mon. Weather Rev., 125, 3297–3319, \doi10.1175/1520-0493(1997)125&lt;3297:EFANAT&gt;2.0.CO;2, 1997. </reference>
		<reference numeration="45" content_type="text"> Verbunt, M., Zappa, M., Gurtz, J., and Kaufmann, P.: Verification of a coupled hydrometeorological modelling approach for alpine tributaries in the Rhine basin, J. Hydrol., 324, 224–238, \doi10.1016/j.jhydrol.2005.09.036, 2006. </reference>
		<reference numeration="46" content_type="text"> Verbunt, M., Walser, A., Gurtz, J., Montani, A., and Schär, C.: Probabilistic Flood Forecasting with a Limited-Area Ensemble Prediction System: Selected Case Studies, J. Hydrometeorol., 8, 897–909, \doi10.1175/JHM594.1, 2007. </reference>
		<reference numeration="47" content_type="text"> Viviroli, D., Zappa, M., Gurtz, J., and Weingartner, R.: An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools, Environ. Model. Softw., 24, 1209–1222, \doi10.1016/j.envsoft.2009.04.001, 2009. </reference>
		<reference numeration="48" content_type="text"> Vrugt, J A., Diks, C. G H., Gupta, H V., Bouten, W., and Verstraten, J M.: Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation, Water Resour. Res., 41, W01017, \doi10.1029/2004WR003059, 2005. </reference>
		<reference numeration="49" content_type="text"> Weigel, A P., Liniger, M A., and Appenzeller, C.: The Discrete Brier and Ranked Probability Skill Scores, Mon. Weather Rev., 135, 118–124, \doi10.1175/MWR3280.1, 2007a. </reference>
		<reference numeration="50" content_type="text"> Weigel, A P., Liniger, M A., and Appenzeller, C.: Generalization of the Discrete Brier and Ranked Probability Skill Scores for Weighted Multi-model Ensemble Forecasts, Mon. Weather Rev., 135, 2778–2785, \doi10.1175/MWR3428.1, 2007b. </reference>
		<reference numeration="51" content_type="text"> Wilks, D.: Statistical methods in the atmospheric sciences, vol 91 of International geophysics series, Elsevier, Amsterdam, 2nd edn., 2006. </reference>
		<reference numeration="52" content_type="text"> Zappa, M., Pos, F., Strasser, U., Warmerdam, P., and Gurtz, J.: Seasonal water balance of an Alpine catchment as evaluated by different methods for spatially distributed snowmelt modelling, Nord. Hydrol., 34, 179–202, 2003. </reference>
		<reference numeration="53" content_type="text"> Zappa, M., Rotach, M W., Arpagaus, M., Dorninger, M., Hegg, C., Montani, A., Ranzi, R., Ament, F., Germann, U., Grossi, G., Jaun, S., Rossa, A., Vogt, S., Walser, A., Wehrhan, J., and Wunram, C.: MAP D-PHASE: Real-time demonstration of hydrological ensemble prediction systems, Atmos. Sci. Lett., 9, 80–87, \doi10.1002/asl.183, 2008. </reference>
	</references>
</article>

