<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.nat-hazards-earth-syst-sci.net/inc/nhess/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Natural Hazards and Earth System Science</journal_title>
		<journal_url>www.nat-hazards-earth-syst-sci.net</journal_url>
		<issn>1561-8633</issn>
		<eissn>1684-9981</eissn>
		<volume_number>9</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/nhess-9-575-2009</doi>
	<article_url>http://www.nat-hazards-earth-syst-sci.net/9/575/2009/</article_url>
	<abstract_html>http://www.nat-hazards-earth-syst-sci.net/9/575/2009/nhess-9-575-2009.html</abstract_html>
	<fulltext_pdf>http://www.nat-hazards-earth-syst-sci.net/9/575/2009/nhess-9-575-2009.pdf</fulltext_pdf>
	<start_page>575</start_page>
	<end_page>584</end_page>
	<publication_date>2009-04-09</publication_date>
	<article_title content_type="html">Influence of rainfall spatial resolution on flash flood modelling</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>M. Sangati</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>M. Borga</name>
			<email>marco.borga@unipd.it</email>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Land and Agroforest Environment, University of Padova, Agripolis, Legnaro (PD), Italy</affiliation>
	</affiliations>
	<abstract content_type="html">High resolution radar rainfall fields and a distributed hydrologic model are
used to evaluate the sensitivity of flash flood simulations to spatial
aggregation of rainfall at catchment scales ranging from 10.5 km&lt;sup&gt;2&lt;/sup&gt; to
623 km&lt;sup&gt;2&lt;/sup&gt;. The case study focuses on the extreme flash flood occurred on
29 August 2003 on the eastern Italian Alps. Four rainfall spatial
resolutions are considered, with grid size equal to 1-, 4-, 8- and 16-km.
The influence of rainfall spatial aggregation is examined by using the flow
distance as a spatial coordinate, hence emphasising the role of river
network in the averaging of space-time rainfall. Effects of rainfall spatial
aggregation are quantified by using a dimensionless parameter, represented
by the ratio of rainfall resolution (&lt;i&gt;L&lt;sub&gt;r&lt;/sub&gt;&lt;/i&gt;) to the characteristic basin
length (&lt;i&gt;L&lt;sub&gt;w&lt;/sub&gt;&lt;/i&gt;), taken as the square root of the watershed area. Increasing
the &lt;i&gt;L&lt;sub&gt;r&lt;/sub&gt;&lt;/i&gt;/&lt;i&gt;L&lt;sub&gt;w&lt;/sub&gt;&lt;/i&gt; parameter induces large errors on the simulated peak
discharge, with values of the peak discharge error up to 0.33 for
&lt;i&gt;L&lt;sub&gt;r&lt;/sub&gt;&lt;/i&gt;/&lt;i&gt;L&lt;sub&gt;w&lt;/sub&gt;&lt;/i&gt; equal to 1.0. An important error source related to spatial
rainfall aggregation is the rainfall volume error caused by incorrectly
smoothing the rainfall volume either inside or outside of of the watershed.
It is found that for &lt;i&gt;L&lt;sub&gt;r&lt;/sub&gt;&lt;/i&gt;/&lt;i&gt;L&lt;sub&gt;w&lt;/sub&gt;&lt;/i&gt; 1.0, around 50% of the peak
discharge error is due to the rainfall volume error. Remaining errors are
due to both the distortion of the rainfall spatial distribution, measured
with respect to the river network, and to the reduced spatial variability of
the rainfield. Further investigations are required to isolate and examine
the effect of river network geometry on the averaging of space-time rainfall
at various aggregation lengths and on simulated peak discharges.</abstract>
	<references>
		<reference numeration="1" content_type="text">Andréassian V., Perrin, C., Michel, C., Usart-Sanchez, I., and Lavabre, J.: Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models, J. Hydrol., 250, 206–223, 2001. </reference>
		<reference numeration="2" content_type="text">Barancourt, C., Creutin, J. D., and Rivoirard, J.: A Method for Delineating and Estimating Rainfall Fields, Water Resour. Res., 28, 1133–1144, 1992. </reference>
		<reference numeration="3" content_type="text">Bell, V. A. and Moore, R. J.: The sensitivity of catchment runoff models to rainfall data at different spatial scales, Hydrol. Earth Syst. Sci., 4, 653–667, 2000. </reference>
		<reference numeration="4" content_type="text">Berne, A., Delrieu, G., Creutin, J. D., and Obled, C.: Temporal and spatial resolution of rainfall measurements required for urban hydrology, J. Hydrol., 299, 166–179, 2004. </reference>
		<reference numeration="5" content_type="text">Blöschl G. and Sivapalan, M.: Scale issues in hydrological modelling: a review, Hydrol. Process., 9, 251–290 1995. </reference>
		<reference numeration="6" content_type="text">Borga, M., Tonelli, F., Moore, R. J., and Andrieu, H.: Long-term assessment of bias adjustment in radar rainfall estimation, Water Resour. Res., 38, 1226, doi:10.1029/2001WR000555, 2002. </reference>
		<reference numeration="7" content_type="text">Borga, M., Boscolo, P., Zanon, F., and Sangati, M.: Hydrometeorological analysis of the August 29, 2003 flash flood in the eastern Italian Alps, J. Hydrometeorol., 8, 1049–1067, 2007. </reference>
		<reference numeration="8" content_type="text">Borga, M., Gaume, E., Creutin, J. D., and Marchi, L.: Surveying flash flood response: gauging the ungauged extremes, Hydrol. Process., 22(18), 3883–3885, 2008. </reference>
		<reference numeration="9" content_type="text">Creutin, J. D. and Borga, M.: Radar hydrology modifies the monitoring of flash flood hazard, Hydrol. Process., 17(7), 1453–1456, 2003. </reference>
		<reference numeration="10" content_type="text">Journel, A. G.: Non parametric estimation of spatial distributions, Math. Geol., 15, 445–467, 1983. </reference>
		<reference numeration="11" content_type="text">Kouwen, N. and Garland, G.: Resolution considerations in using radar rainfall ata for flood forecasting, Can. J. Civ. Eng., 16, 279–289, 1989. </reference>
		<reference numeration="12" content_type="text">Lebel, T., Bastin, G., Obled, C., and Creutin, J.: On the Accuracy of Areal Rainfall Estimation: A Case Study, Water Resour. Res., 23, 2123–2134, 1987. </reference>
		<reference numeration="13" content_type="text">Naden P. S.: Spatial variability in flood estimation for large catchments: the exploitation of channel network structure, Hydrol. Sci. J., 37, 53–71, 1992. </reference>
		<reference numeration="14" content_type="text">Nicotina, L., Alessi-Celegon, E., Rinaldo, A., and Marani, M.: On the impact of rainfall patterns on the hydrologic response, Water Resour. Res., 44, W12401, doi:10.1029/2007WR006654, 2008. </reference>
		<reference numeration="15" content_type="text">Norbiato, D., Borga, M., Sangati, M., and Zanon, F.: Regional Frequency Analysis of Extreme Precipitation in the eastern Italian Alps and the August 29, 2003 Flash Flood, J. Hydrol., 345(3–4), 149–166, 2007. </reference>
		<reference numeration="16" content_type="text">Norbiato, D., Borga, M., Degli Esposti, S., Gaume, E., and Anquetin, S.: Flash flood warning based on rainfall depth-duration thresholds and soil moisture conditions: An assessment for gauged and ungauged basins, J. Hydrol., 362(3–4), 274–290, doi:10.1016/j.jhydrol.2008.08.023., 2008. </reference>
		<reference numeration="17" content_type="text">Obled, C., Wendling, J., and Beven, K.: Sensitivity of hydrological models to spatial rainfall patterns: An evaluation using observed data, J. Hydrol., 159, 305–333, 1994. </reference>
		<reference numeration="18" content_type="text">Ogden, F. L. and Julien, P. Y.: Runoff model sensitivity to radar rainfall resolution, J. Hydrol., 158, 1–18, 1994. </reference>
		<reference numeration="19" content_type="text">Segond, M. L., Wheater, H. S., and Onof, C.: The significance of spatial rainfall representation for flood runoff estimation: A numerical evaluation based on the Lee catchment, UK, J. Hydrol., 347, 116–131, 2007. </reference>
		<reference numeration="20" content_type="text">Smith, M. B., Seo, D. J., Koren, V. I., Reed, S. M., Zhang, Z., Duan, Q., Moreda, F., and Cong, S.: The distributed model intercomparison project (DMIP): motivation and experiment design, J. Hydrol., 298, 4–26, 2004. </reference>
		<reference numeration="21" content_type="text">US Department of Agriculture: Urban hydrology for small watersheds, US Department of Agriculture Tech. Release, 55, 164 pp., 1986. </reference>
		<reference numeration="22" content_type="text">Winchell, M., Gupta, H., and Sorooshian, S.: On the Simulation of Infiltration- and Saturation-Excess Runoff Using Radar-Based Rainfall Estimates: Effects of Algorithm Uncertainty and Pixel Aggregation, Water Resour. Res., 34, 2655–2670, 1998. </reference>
		<reference numeration="23" content_type="text">Woods, R. A. and Sivapalan, M.: A synthesis of space-time variability in storm response: Rainfall, runoff generation and routing, Water Resour. Res., 35, 2469–2485, 1999. </reference>
		<reference numeration="24" content_type="text">Zhang, Y., Smith, J. A., and Baeck, M. L.: The hydrology and hydrometeorology of extreme floods in the Great Plains of eastern Nebraska, Adv. Water Resour., 24, 1037–1050, 2001. </reference>
	</references>
</article>

