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<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>10</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/nhess-10-429-2010</doi>
	<article_url>http://www.nat-hazards-earth-syst-sci.net/10/429/2010/</article_url>
	<abstract_html>http://www.nat-hazards-earth-syst-sci.net/10/429/2010/nhess-10-429-2010.html</abstract_html>
	<fulltext_pdf>http://www.nat-hazards-earth-syst-sci.net/10/429/2010/nhess-10-429-2010.pdf</fulltext_pdf>
	<start_page>429</start_page>
	<end_page>446</end_page>
	<publication_date>2010-03-11</publication_date>
	<article_title content_type="html">An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of Saxony</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>N. Jatho</name>
			<email>nadine.jatho@tu-dresden.de</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>T. Pluntke</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>C. Kurbjuhn</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>C. Bernhofer</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute of Hydrology and Meteorology, Department of Meteorology, Technische UniversitÃ¤t Dresden, Dresden, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">An approach to combine gauge and radar data and additional quality
information is presented. The development was focused on the improvement of
the diagnostic for temporal (one hour) and spatial (1&amp;times;1 km&lt;sup&gt;2&lt;/sup&gt;)
highly resolved precipitation data. The method is embedded in an online tool
and was applied to the target area Saxony, Germany. The aim of the tool is to
provide accurate spatial rainfall estimates. The results can be used for
rainfall run-off modelling, e.g. in a flood management system.
&lt;br&gt;&lt;br&gt;
Quality information allows a better assessment of the input data and the
resulting precipitation field. They are stored in corresponding fields and
represent the static and dynamic uncertainties of radar and gauge data.
Objective combination of various precipitation and quality fields is realised
using a cost function.
&lt;br&gt;&lt;br&gt;
The findings of cross validation reveal that the proposed combination method
merged the benefits and disadvantages of interpolated gauge and radar data
and leads to mean estimates. The sampling point validation implies that the
presented method slightly overestimated the areal rain as well as the high
rain intensities in case of convective and advective events, while the
results of pure interpolation method performed better. In general, the use of
presented cost function avoids false rainfall amount in areas of low input
data quality and improves the reliability in areas of high data quality. It
is obvious that the combined product includes the small-scale variability of
radar, which is seen as the important benefit of the presented combination
approach. Local improvements of the final rain field are possible due to
consideration of gauges that were not used for radar calibration, e.g. in
topographic distinct regions.</abstract>
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</article>
