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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ASR</journal-id>
<journal-title-group>
<journal-title>Advances in Science and Research</journal-title>
<abbrev-journal-title abbrev-type="publisher">ASR</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Adv. Sci. Res.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1992-0636</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/asr-6-219-2011</article-id>
<title-group>
<article-title>A data portal for regional climatic trend analysis in a Peruvian High Andes region</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Schwarb</surname>
<given-names>M.</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>Acuña</surname>
<given-names>D.</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>Konzelmann</surname>
<given-names>Th.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rohrer</surname>
<given-names>M.</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>Salzmann</surname>
<given-names>N.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Serpa Lopez</surname>
<given-names>B.</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>Silvestre</surname>
<given-names>E.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Meteodat GmbH, Zurich, Switzerland</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>SENAMHI, Lima, Peru</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Department of Geography, University of Zurich, Switzerland</addr-line>
</aff>
<pub-date pub-type="epub">
<day>16</day>
<month>08</month>
<year>2011</year>
</pub-date>
<volume>6</volume>
<issue>1</issue>
<fpage>219</fpage>
<lpage>226</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2011 M. Schwarb et al.</copyright-statement>
<copyright-year>2011</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://asr.copernicus.org/articles/6/219/2011/asr-6-219-2011.html">This article is available from https://asr.copernicus.org/articles/6/219/2011/asr-6-219-2011.html</self-uri>
<self-uri xlink:href="https://asr.copernicus.org/articles/6/219/2011/asr-6-219-2011.pdf">The full text article is available as a PDF file from https://asr.copernicus.org/articles/6/219/2011/asr-6-219-2011.pdf</self-uri>
<abstract>
<p>In the frame of a Swiss-Peruvian climate change adaptation initiative
(PACC), operational and historical data series of more than 100 stations of
the Peruvian Meteorological and Hydrological Service (SENAMHI) are now
accessible in a dedicated data portal. The data portal allows for example
the comparison of data series or the interpolation of spatial fields as well
as download of data in various data formats. It is thus a valuable tool
supporting the process of data homogenisation and generation of a regional
baseline climatology for a sound development of adequate climate change
adaptation measures. The procedure to homogenize air-temperature and
precipitation data series near Cusco city is outlined and followed by an
exemplary trend analysis. Local air temperature trends are found to be in
line with global mean trends.</p>
</abstract>
<counts><page-count count="8"/></counts>
</article-meta>
</front>
<body/>
<back>
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</article>