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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>14</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/hess-14-205-2010</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/14/205/2010/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/14/205/2010/hess-14-205-2010.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/14/205/2010/hess-14-205-2010.pdf</fulltext_pdf>
	<start_page>205</start_page>
	<end_page>221</end_page>
	<publication_date>2010-02-05</publication_date>
	<article_title content_type="html">Performance of high-resolution X-band radar for rainfall measurement in The Netherlands</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>C. Z. van de Beek</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>H. Leijnse</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>J. N. M. Stricker</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>R. Uijlenhoet</name>
		</author>
		<author numeration="5" affiliations="2">
			<name>H. W. J. Russchenberg</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, The Netherlands</affiliation>
		<affiliation numeration="2" content_type="html">Remote Sensing of Environment Group, IRCTR, Delft University of Technology, The Netherlands</affiliation>
	</affiliations>
	<abstract content_type="html">This study presents an analysis of 195 rainfall events gathered with the
X-band weather radar SOLIDAR and a tipping bucket rain gauge network near
Delft, The Netherlands, between May 1993 and April 1994. The aim of this
paper is to present a thorough analysis of a climatological dataset using a
high spatial (120 m) and temporal (16 s) resolution X-band radar. This
makes it a study of the potential for high-resolution rainfall measurements
with non-polarimetric X-band radar over flat terrain. An appropriate radar
reflectivity &amp;ndash; rain rate relation is derived from measurements of raindrop
size distributions and compared with radar – rain gauge data. The radar
calibration is assessed using a long-term comparison of rain gauge
measurements with corresponding radar reflectivities as well as by analyzing
the evolution of the stability of ground clutter areas over time. Three
different methods for ground clutter correction as well as the effectiveness
of forward and backward attenuation correction algorithms have been studied.
Five individual rainfall events are discussed in detail to illustrate the
strengths and weaknesses of high-resolution X-band radar and the
effectiveness of the presented correction methods. X-band radar is found to
be able to measure the space-time variation of rainfall at high resolution,
far greater than what can be achieved by rain gauge networks or a typical
operational C-band weather radar. On the other hand, SOLIDAR can suffer from
receiver saturation, wet radome attenuation as well as signal loss along the
path. During very strong convective situations the signal can even be lost
completely. In combination with several rain gauges for quality control, high
resolution X-band radar is considered to be suitable for rainfall monitoring
over relatively small (urban) catchments. These results offer great prospects
for the new high resolution polarimetric doppler X-band radar IDRA.</abstract>
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</article>

