<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ADGEO</journal-id>
<journal-title-group>
<journal-title>Advances in Geosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7359</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/adgeo-26-71-2010</article-id>
<title-group>
<article-title>Bayesian trend analysis for daily rainfall series of Barcelona</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ortego</surname>
<given-names>M. I.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gibergans-Báguena</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tolosana-Delgado</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Egozcue</surname>
<given-names>J. J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Llasat</surname>
<given-names>M. C.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Universitat Politècnica de Catalunya, Departament de Matemàtica Aplicada III, Barcelona, Spain</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Universitat Politècnica de Catalunya, Laboratori d&apos;Enginyeria Marítima, Barcelona, Spain</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Universitat de Barcelona, Departament d&apos;Astronomia i Meteorologia, Barcelona, Spain</addr-line>
</aff>
<pub-date pub-type="epub">
<day>15</day>
<month>07</month>
<year>2010</year>
</pub-date>
<volume>26</volume>
<fpage>71</fpage>
<lpage>76</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2010 M. I. Ortego et al.</copyright-statement>
<copyright-year>2010</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://adgeo.copernicus.org/articles/26/71/2010/adgeo-26-71-2010.html">This article is available from https://adgeo.copernicus.org/articles/26/71/2010/adgeo-26-71-2010.html</self-uri>
<self-uri xlink:href="https://adgeo.copernicus.org/articles/26/71/2010/adgeo-26-71-2010.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/26/71/2010/adgeo-26-71-2010.pdf</self-uri>
<abstract>
<p>A Point-Over-Threshold approach using a reparameterization of the Generalized
Pareto Distribution (GPD) has been used to assess changes in the daily
rainfall Barcelona series (1854–2006). A Bayesian approach, considering the
suitable scale and physical features of the phenomenon, has been used to look
for these alterations. Two different models have been assessed: existence of
abrupt changes in the new GPD parameters due to modifications of the
observatory locations and trends in these GPD parameters, pointing to a
climate change scenario.</p>
</abstract>
<counts><page-count count="6"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1</label><mixed-citation publication-type="other" xlink:type="simple"> Barrera-Escoda, A.: Evolución de los extremos hídricos en Catalunya en los \&apos;ultimos 500 años y su modelización regional. (Evolution of hydric extrems in Catalonia during the last 500 years and its regional modelling), Ph.D. thesis, Universitat de Barcelona, Barcelona, Spain, 2008. </mixed-citation>
</ref>
<ref id="ref2">
<label>2</label><mixed-citation publication-type="other" xlink:type="simple"> Bodini, A. and Cossu, Q. A.: Vulnerability assessment of Central-East Sardinia (Italy) to extreme rainfall events, Nat. Hazards Earth Syst. Sci., 10, 61–72, https://doi.org/10.5194/nhess-10-61-2010, 2010. </mixed-citation>
</ref>
<ref id="ref3">
<label>3</label><mixed-citation publication-type="other" xlink:type="simple"> Castillo, E., Hadi, A., Balakrishnan, N., and Sarabia, J.: Extreme value and related models with Applications in Engineering and Science, Wiley, London, GB, 384~pp., 2004. </mixed-citation>
</ref>
<ref id="ref4">
<label>4</label><mixed-citation publication-type="other" xlink:type="simple"> Coles, S., Pericchi, L R., and Sisson, S.: A fully probabilistic approach to extreme rainfall modelling, J. Hydrol., 273, 35–50, 2003. </mixed-citation>
</ref>
<ref id="ref5">
<label>5</label><mixed-citation publication-type="other" xlink:type="simple"> Davison, A. and Smith, R.: Models for exceedances over high thresholds (with discussion), J. Roy. Statist. Soc. B, 52, 393–442, 1990. </mixed-citation>
</ref>
<ref id="ref6">
<label>6</label><mixed-citation publication-type="other" xlink:type="simple"> Dupuis, D.: Exceedances over high thresholds: a guide to threshold selection, Extremes, 1, 251–261, 1998.  </mixed-citation>
</ref>
<ref id="ref7">
<label>7</label><mixed-citation publication-type="other" xlink:type="simple"> Egozcue, J. J., Pawlowsky-Glahn, V., Ortego, M. I., and Tolosana-Delgado, R.: The effect of scale in daily precipitation hazard assessment, Nat. Hazards Earth Syst. Sci., 6, 459–470, https://doi.org/10.5194/nhess-6-459-2006, 2006. </mixed-citation>
</ref>
<ref id="ref8">
<label>8</label><mixed-citation publication-type="other" xlink:type="simple"> Embrechts, P., Klüppelberg, C., and Mikosch, T.: Modelling extremal events for insurance and finance, Springer-Verlag, Berlin, Germany, 663~pp., 1997. </mixed-citation>
</ref>
<ref id="ref9">
<label>9</label><mixed-citation publication-type="other" xlink:type="simple"> Gelman, A., Carlin, J., Stern, H., and Rubin, D.: Bayesian data analysis, Wiley, New York, NY, USA, 1995. </mixed-citation>
</ref>
<ref id="ref10">
<label>10</label><mixed-citation publication-type="other" xlink:type="simple"> Grandell, J.: Mixed Poisson processes, Chapman &amp; Hall, London, GB, 268~pp., 1997. </mixed-citation>
</ref>
<ref id="ref11">
<label>11</label><mixed-citation publication-type="other" xlink:type="simple"> Katz, R W., Parlange, M B., and Naveau, P.: Statistics of extremes in hydrology, Adv. Water Res., 25, 1287–1304, 2002. </mixed-citation>
</ref>
<ref id="ref12">
<label>12</label><mixed-citation publication-type="other" xlink:type="simple"> Parey, S., Malek, F., Laurent, C., and Dacunha-Castelle, D.: Trends and climate evolution: Statistical approach for very high temperatures in France, Climatic Change, 81, 331–352, 2007. </mixed-citation>
</ref>
<ref id="ref13">
<label>13</label><mixed-citation publication-type="other" xlink:type="simple"> Pawlowsky-Glahn, V., Tolosana-Delgado, R., and Egozcue, J. J.: Scale effect in hazard assessment – application to daily rainfall, Adv. Geosci., 2, 117–121, https://doi.org/10.5194/adgeo-2-117-2005, 2005. </mixed-citation>
</ref>
<ref id="ref14">
<label>14</label><mixed-citation publication-type="other" xlink:type="simple"> Pickands, J I.: Statistical inference using extreme order statistics, Ann. Stat., 3, 119–131, 1975. </mixed-citation>
</ref>
<ref id="ref15">
<label>15</label><mixed-citation publication-type="other" xlink:type="simple"> Pujol, N., Neppel, L., and Sabatier, R.: Regional tests for trend detection in maximum precipitation series in the French Mediterranian region / Tests régionaux de détection de tendances dans des séries de maxima pluviométriques sour le pourtour Méditerranéen Français, Hydrol. Sci. J., 52, 956–973, 2007. </mixed-citation>
</ref>
<ref id="ref16">
<label>16</label><mixed-citation publication-type="other" xlink:type="simple"> Raftery, A E.: Extreme value analysis of enviromental time series: An application to trend detection in ground-level ozone. Comment: Are ozone rates decreasing?, Stat. Sci., 4, 378–381, 1989. </mixed-citation>
</ref>
<ref id="ref17">
<label>17</label><mixed-citation publication-type="other" xlink:type="simple"> Robert, C. and Casella, G.: Monte Carlo Statistical Methods, Springer, New York, NY, USA, 507~pp., 2000. </mixed-citation>
</ref>
<ref id="ref18">
<label>18</label><mixed-citation publication-type="other" xlink:type="simple"> Smith, R L.: Extreme value analysis of enviromental time series: An application to trend detection in ground-level ozone., Stat. Sci., 4, 367–377, 1989. </mixed-citation>
</ref>
<ref id="ref19">
<label>19</label><mixed-citation publication-type="other" xlink:type="simple"> Tolosana-Delgado, R., Ortego, M I., Egozcue, J J., and Sánchez-Arcilla, A.: Climate change in a Point-Over-Threshold model: an example on ocean-wave-storm hazard in NE Spain, Adv. Geosci., submitted, 2010. </mixed-citation>
</ref>
</ref-list>
</back>
</article>