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<article language="en">
	<journal>
		<journal_title>Advances in Science and Research</journal_title>
		<journal_url>www.adv-sci-res.net</journal_url>
		<issn>1992-0628</issn>
		<eissn>1992-0636</eissn>
		<volume_number>2</volume_number>
		<volume_title>7th EMS Annual Meeting and 8th European Conference on Applications of Meteorology 2007</volume_title>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/asr-2-1-2008</doi>
	<article_url>http://www.adv-sci-res.net/2/1/2008/</article_url>
	<abstract_html>http://www.adv-sci-res.net/2/1/2008/asr-2-1-2008.html</abstract_html>
	<fulltext_pdf>http://www.adv-sci-res.net/2/1/2008/asr-2-1-2008.pdf</fulltext_pdf>
	<start_page>1</start_page>
	<end_page>4</end_page>
	<publication_date>2008-04-07</publication_date>
	<article_title content_type="html">Calculation of climatic reference values and its use for automatic outlier detection in meteorological datasets</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>B. Téllez</name>
			<email>bea@inm.es</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>T. Cernocky</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>E. Terradellas</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Instituto Nacional de Meteorología, CMT de Cataluña, Spain</affiliation>
	</affiliations>
	<abstract content_type="html">The climatic reference values for monthly and annual average air temperature
and total precipitation in Catalonia &amp;ndash; northeast of Spain  &amp;ndash;  are calculated
using a combination of statistical methods and geostatistical techniques of
interpolation. In order to estimate the uncertainty of the method, the
initial dataset is split into two parts that are, respectively, used for
estimation and validation. The resulting maps are then used in the automatic
outlier detection in meteorological datasets.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Demyanov, V., Kanevsky, M., Chernov, S., Savelieva, E., and Timonin, V.: Neural network residual kriging application for climatic data, J. Geogr. Inform. Decis. Anal., 2, 215&amp;ndash;232, 1998. </reference>
		<reference numeration="2" content_type="text"> Dobesch, H., Dumolard, P., and Dyras, I. (Eds.): Spatial Interpolation for Climate data, Iste Publishing Co., 2007 </reference>
		<reference numeration="3" content_type="text"> Dyras, I., Dobesch, H., Grueter, E., Perdigao, A., and Tveito, O.: The use of Geographic Information Systems in climatology and meteorology: COST 719, Meteorol. Appl., 12, 1&amp;ndash;5, 2005 </reference>
		<reference numeration="4" content_type="text"> Hocking, R. R.: The Analysis and Selection of Variables in Linear Regression, Biometrics, 32, 1&amp;ndash;51, 1976. </reference>
		<reference numeration="5" content_type="text"> Instituto Nacional de Meteorología: Valores normales de precipitación y temperatura de la Red Climatológica (1961&amp;ndash;1990), Serie Monografías, INM, Madrid, 2000. </reference>
		<reference numeration="6" content_type="text"> Journel, A. G. and Huijbregts, C. J.: Mining Geostatistics, Academic Press, London, 601 pp., 1978. </reference>
		<reference numeration="7" content_type="text"> Lam, N. S.: Spatial interpolation methods: A review, Amer. Cart., 10, 129&amp;ndash;149, 1993. </reference>
		<reference numeration="8" content_type="text"> Ninyerola, M., Pons, X., and Roure, J. M.,: Objective air temperature mapping for the Iberian Peninsula using spatial interpolation and GIS, Int. J. Climatol., 27, 1231&amp;ndash;1242, 2007 </reference>
	</references>
</article>

