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<!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>8</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2004</publication_year>
	</journal>
	<doi>10.5194/hess-8-23-2004</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/8/23/2004/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/8/23/2004/hess-8-23-2004.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/8/23/2004/hess-8-23-2004.pdf</fulltext_pdf>
	<start_page>23</start_page>
	<end_page>34</end_page>
	<publication_date>0000-00-00</publication_date>
	<article_title content_type="html">A stochastic model of throughfall for extreme events</article_title>
	<authors>
		<author numeration="1" affiliations="1,5">
			<name>R.F. Keim</name>
		</author>
		<author numeration="2" affiliations="2,5">
			<name>A.E. Skaugset</name>
		</author>
		<author numeration="3" affiliations="3,5">
			<name>T.E. Link</name>
		</author>
		<author numeration="4" affiliations="4,5">
			<name>A. Iroumé</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA 70803, USA</affiliation>
		<affiliation numeration="2" content_type="html">Department of Forest Engineering, Oregon State University, Corvallis, OR 97331, USA</affiliation>
		<affiliation numeration="3" content_type="html">Department of Forest Rosources, University of Idaho, Moscow, ID 83844, USA</affiliation>
		<affiliation numeration="4" content_type="html">Instituto de Manejo Forestal, Universidad Austral de Chile, Valdivia, Chile</affiliation>
		<affiliation numeration="5" content_type="html">Email for corresponding author: rkeim@lsu.edu</affiliation>
	</affiliations>
	<abstract content_type="html">Although it is well known that forest canopies reduce the amount and intensity 
   of precipitation at the ground surface, little is known about how canopy interception modifies 
   extreme events. The effects of forest cover on intensity-duration-frequency relationships were 
   investigated, using a stochastic model to extrapolate measured rainfall and throughfall to 
   throughfall expected during extreme events. The model coupled a stochastic model of rainfall 
   with stochastic representations of evaporation and precipitation transfer through canopies. 
   Stochastic evaporation was governed by probability distributions sensitive to storm size, and 
   transfer through canopies was governed by a black-box linear system. The modelled reduction of 
   extreme-event intensities by canopies was 5–30%, depending on duration and return interval. 
   The reduction was 15–20% in low return interval events (2 y) at all durations. In contrast, 
   intensities of high return interval events (90 y) were proportionally more reduced at short 
   durations (~30% reduced) than at long durations (~5% reduced). The model suggested that 
   evaporative losses reduced intensity in the frequent events (2 y return interval), but water 
   transfer through the canopy was more important for the reduction in intensity in the rarest 
   extreme events. High return intervals of long duration were least affected by canopies 
   because evaporative losses were the least proportion of rainfall. Extreme events larger 
   than 10- or 20-y return interval probability threshold occurred only 31–69% as often in 
   throughfall as in rainfall.&lt;/p&gt;

&lt;p  style=&quot;line-height: 20px;&quot;&gt;&lt;b&gt;Keywords: &lt;/b&gt;canopy interception, throughfall, stochastic rainfall modelling, rainfall 
    intensity, linear systems, landslides</abstract>
	<references>
	</references>
</article>

