<?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>13</volume_number>
		<issue_number>6</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hess-13-819-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/13/819/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/13/819/2009/hess-13-819-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/13/819/2009/hess-13-819-2009.pdf</fulltext_pdf>
	<start_page>819</start_page>
	<end_page>831</end_page>
	<publication_date>2009-06-18</publication_date>
	<article_title content_type="html">How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>L. Berthet</name>
			<email>lionel.berthet@cemagref.fr</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>V. AndrÃ©assian</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>C. Perrin</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>P. Javelle</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Cemagref, Hydrosystems and Bioprocesses Research Unit Antony, France</affiliation>
		<affiliation numeration="2" content_type="html">AgroParisTech ENGREF, 19 avenue du Maine, 75732 Paris, France</affiliation>
		<affiliation numeration="3" content_type="html">Cemagref, Hydrology and Hydraulic Works Research Unit,  Aix-en-Provence, France</affiliation>
	</affiliations>
	<abstract content_type="html">This paper compares event-based and continuous hydrological modelling approaches
for real-time forecasting of river flows. Both approaches are compared using
a lumped hydrologic model (whose structure includes a soil moisture accounting
(SMA) store and a routing store) on a data set of 178 French catchments. The
main focus of this study was to investigate the actual impact of soil moisture
initial conditions on the performance of flood forecasting models and the
possible compensations with updating techniques. The rainfall-runoff model
assimilation technique we used does not impact the SMA component of the model
but only its routing part. Tests were made by running the SMA store continuously
or on event basis, everything else being equal. The results show that the
continuous approach remains the reference to ensure good forecasting performances.
We show, however, that the possibility to assimilate the last observed flow
considerably reduces the differences in performance. Last, we present a robust
alternative to initialize the SMA store where continuous approaches are
impossible because of data availability problems.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Amengual, A., Diomede, T., Marsigli, C., Mart\&apos;in, A., Morgillo, A., Romero, R., Papetti, P., and Alonso, S.: A hydrometeorological model intercomparison as a tool to quantify the forecast uncertainty in a medium size basin, Nat. Hazards Earth Syst. Sci., 8, 819â€“838, 2008. </reference>
		<reference numeration="2" content_type="text"> Anctil, F., Michel, C., Perrin, C., and AndrÃ©assian, V.: A soil moisture index as an auxiliary ANN input for stream flow forecasting, J. Hydrol., 286, 155â€“167, 2004a. </reference>
		<reference numeration="3" content_type="text"> Anctil, F., Perrin, C., and AndrÃ©assian, V.: Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models, Environmental Modelling &amp; Software, 19, 357â€“368, 2004b. </reference>
		<reference numeration="4" content_type="text"> AndrÃ©assian, V., Hall, A., Chahinian, N., and Schaake, J.: Introduction and Synthesis: Why should hydrologists work on a large number of basin data sets?, IAHS-AISH Publication, 307, 1â€“5, 2006. </reference>
		<reference numeration="5" content_type="text"> Aubert, D., Loumagne, C., and Oudin, L.: Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall - Runoff model, J. Hydrol., 280, 145â€“161, 2003. </reference>
		<reference numeration="6" content_type="text"> Box, G. E P. and Jenkins, G M.: Time Series Analysis: Forecasting and Control, Holden Day Inc., Oakland, California, USA, 575 pp., 1976. </reference>
		<reference numeration="7" content_type="text"> Brocca, L., Melone, F., Moramarco, T., and Singh, V P.: Assimilation of Observed Soil Moisture Data in Storm Rainfall-Runoff Modeling, J. Hydrol. Eng., 14, 153â€“165, \doi10.1061/(ASCE)1084-0699(2009)14:2(153), 2009. </reference>
		<reference numeration="8" content_type="text"> Cemagref: Inventory and diagnosis of simple existing flood forecasting models on the Seine River basin (in French), Final report 133 pages, Hydrosystems and Bioprocesses Research Unit, DIREN ÃŽle-de-France, Antony, France, 2005. </reference>
		<reference numeration="9" content_type="text"> Da~Ros, D. and Borga, M.: Adaptive use of a conceptual model for real time flood forecasting, Nord. Hydrol., 28, 169â€“188, 1997. </reference>
		<reference numeration="10" content_type="text"> Dietrich, J., Trepte, S., Wang, Y., Schumann, A H., VoÃŸ, F., Hesser, F B., and Denhard, M.: Combination of different types of ensembles for the adaptive simulation of probabilistic flood forecasts: hindcasts for the Mulde 2002 extreme event, Nonlinear Proc. Geophys., 15, 275â€“286, 2008. </reference>
		<reference numeration="11" content_type="text"> Javelle, P. and Berthet, L.: Inter-comparaison des modÃ¨les de prÃ©vision des crues dÃ©veloppÃ©s au Cemagref: GR3H et GR3P, convention 2008 Cemagref / MinistÃ¨re de l&apos;Ã‰cologie et du DÃ©veloppement durable â€“ service central d&apos;hydromÃ©tÃ©orologie et d&apos;appui à la prÃ©vision des inondations, Rapport Cemagref, 23 pp. (in French), 2008. </reference>
		<reference numeration="12" content_type="text"> Kitanidis, P. and Bras, R.: Real-time forecasting wih a conceptual hydrologic model. 1. Analysis of uncertainty, Water Resour. Res., 16, 1025â€“1033, 1980a. </reference>
		<reference numeration="13" content_type="text"> Kitanidis, P. and Bras, R.: Real-time forecasting with a conceptual hydrologic model. 2. Applications and results., Water Resour. Res., 16, 1034â€“1044, 1980b. </reference>
		<reference numeration="14" content_type="text"> Kleme\u s, V.: Operational testing of hydrologic simulation models, Hydrol. Sci. J., 31, 13â€“24, 1986. </reference>
		<reference numeration="15" content_type="text"> Kohler, M A. and Linsley, R. K J.: Predicting runoff from storm rainfall, Res. Paper, 34, US Weather Bureau, Washington DC, USA, 1951. </reference>
		<reference numeration="16" content_type="text"> Lamb, R. and Kay, A.: Confidence intervals for a spatially generalized, continuous simulation flood frequency model for Great Britain, Water Resour. Res., 40, W07501, doi:10.1029/2003WR002428, 2004. </reference>
		<reference numeration="17" content_type="text"> Le Moine, N.: Le bassin versant de surface vu par le souterrain: une voie d&apos;amÃ©lioration des performances et du rÃ©alisme des modÃ¨les Pluie â€“ DÃ©bit?, Ph.D. thesis, UniversitÃ© Pierre et Marie Curie (Paris VI), 2008. </reference>
		<reference numeration="18" content_type="text"> Linsley, R.: Proceedings of the international symposium on rainfall-runoff modelling, in: Proceedings of the international symposium on rainfall-runoff modelling, edited by: Singh, V., 3â€“22, Water Resources Publications, Littleton, CO, USA, 1982. </reference>
		<reference numeration="19" content_type="text"> Merz, B. and BÃ¡rdossy, A.: Effects of spatial variability on the rainfall runoff process in a small loess catchment, J. Hydrol., 212â€“213, 304â€“317, 1998. </reference>
		<reference numeration="20" content_type="text"> Merz, R. and BlÃ¶schl, G.: A regional analysis of event runoff coefficients with respect to climate and catchment characteristics in Austria, Water Resour. Res., 45, W01405, doi:10.1029/2008WR007163, 2009. </reference>
		<reference numeration="21" content_type="text"> Moore, R., Cole, S., Bell, V., and Jones, D.: Issues in flood forecasting: Ungauged basins, extreme floods and uncertainty, in: IAHS-AISH Publication no. 305, 103â€“122, 2006. </reference>
		<reference numeration="22" content_type="text"> Moore, R J.: The \textscPDM rainfall-runoff model, Hydrol. Earth Syst. Sci., 11, 483â€“499, 2007. </reference>
		<reference numeration="23" content_type="text"> Moore, R J., Bell, V A., and Jones, D A.: Forecasting for flood warning, Comptes Rendus Geosciences, 337, 203â€“217, prefixhttp://www.sciencedirect.com/science/article/B6X1D-4F0199D-6/% 2/c3a587ebec49a67b3ff4217a8dfab536, 2005. </reference>
		<reference numeration="24" content_type="text"> Morton, F.: Operational estimates of areal evapotranspiration and their significance to the science and practice of hydrology, J. Hydrol., 66, 1â€“76, 1983. </reference>
		<reference numeration="25" content_type="text"> Nalbantis, I.: Use of multiple-time-step information in rainfall-runoff modeling, J. Hydrol., 165, 135â€“159, 1995. </reference>
		<reference numeration="26" content_type="text"> Nalbantis, I.: Real-time flood forecasting with the use of inadequate data, Hydrol. Sci. J., 45, 269â€“284, 2000. </reference>
		<reference numeration="27" content_type="text"> National Research Council (NRC): Report of a Workshop on Predictability &amp; Limits-To-Prediction in Hydrologic Systems, 0-309-08347-8, National Academic Press, Washington DC, USA, 118 pp., 2002. </reference>
		<reference numeration="28" content_type="text"> Norbiato, D., Borga, M., Degli~Esposti, S., Gaume, E., and Anquetin, S.: Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins, J. Hydrol., 362, 274â€“290, 2008. </reference>
		<reference numeration="29" content_type="text"> Noto, L., Ivanov, V., Bras, R., and Vivoni, E.: Effects of initialization on response of a fully-distributed hydrologic model, J. Hydrol., 352, 107â€“125, 2008.  </reference>
		<reference numeration="30" content_type="text"> Ogrosky, H O. and Mockus, V.: $\textrmin$ Handbook of Applied Hydrology, chap. Hydrology of Agricultural Lands, 21:1â€“21:97, McGraw-Hill inc., USA, 1964. </reference>
		<reference numeration="31" content_type="text"> Oudin, L., Hervieu, F., Michel, C., Perrin, C., AndrÃ©assian, V., Anctil, F., and Loumagne, C.: Which potential evapotranspiration input for a lumped rainfall-runoff model? Part 2 â€“ Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modelling, J. Hydrol., 303, 290â€“306, 2005. </reference>
		<reference numeration="32" content_type="text"> Perrin, C., Michel, C., and AndrÃ©assian, V.: Improvement of a parsimonious model for streamflow simulation, J. Hydrol., 279, 275â€“289, 2003. </reference>
		<reference numeration="33" content_type="text"> Refsgaard, J C.: Validation and Intercomparison of Different Updating Procedures for Real-Time Forecasting, Nord. Hydrol., 28, 65â€“84, 1997. </reference>
		<reference numeration="34" content_type="text"> Refsgaard, J C. and Henriksen, H J.: Modelling guidelines â€“ terminology and guiding principles, Adv. Water Resour., 27, 71â€“82, 2004. </reference>
		<reference numeration="35" content_type="text"> Refsgaard, J C., Thorsen, M., Jensen, J., Kleeschulte, S., and Hansen, S.: Large scale modelling of groundwater contamination from nitrate leaching, J. Hydrol., 221, 117â€“140, 1999. </reference>
		<reference numeration="36" content_type="text"> Shamseldin, A Y.: River Basin Modelling for Flood Risk Mitigation, chap. Real-time river flow forecasting, Taylor &amp; Francis/Balkema, Leiden, the Netherlands, 181â€“195, 2006. </reference>
		<reference numeration="37" content_type="text"> Sheikh, V., Visser, S., and Stroosnijder, L.: A simple model to predict soil moisture: Bridging Event and Continuous Hydrological (BEACH) modelling, Environ. Model. Softw., 24, 542â€“556, 2009. </reference>
		<reference numeration="38" content_type="text"> Tan, S., Chua, L., Shuy, E., Lo, E.-M., and Lim, L.: Performances of rainfall-runoff models calibrated over single and continuous storm flow events, J. Hydrol. Eng., 13, 597â€“607, 2008. </reference>
		<reference numeration="39" content_type="text"> Tangara, M.: Nouvelle mÃ©thode de prÃ©vision de crue utilisant un modÃ¨le pluie-dÃ©bit global, Ph.D. thesis, \&apos;Ecole pratique des hautes Ã©tudes de Paris, 2005. </reference>
		<reference numeration="40" content_type="text"> Vieux, B., Cui, Z., and Gaur, A.: Evaluation of a physics-based distributed hydrologic model for flood forecasting, J. Hydrol., 298, 155â€“177, 2004. </reference>
		<reference numeration="41" content_type="text"> Vivoni, E., Entekhabi, D., Bras, R., and Ivanov, V.: Controls on runoff generation and scale-dependence in a distributed hydrologic model, Hydrol. Earth Syst. Sci., 11, 1683â€“1701, 2007. </reference>
		<reference numeration="42" content_type="text"> Zehe, E. and BlÃ¶schl, G.: Predictability of hydrologic response at the plot and catchment scales: Role of initial conditions, Water Resour. Res., 40, W10202, doi:10.1029/2003WR002869, 2004. </reference>
	</references>
</article>

