Principal component analysis of precipitation in Thessaly region (Central Greece)View Crossref metadata(active tab) <div id="edit-xml" class="form-item form-type-item"> <?xml version="1.0"?> <doi_batch version="4.4.1" xmlns="http://www.crossref.org/schema/4.4.1" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/schema/4.4.1 http://www.crossref.org/schemas/crossref4.4.1.xsd"><head><doi_batch_id>000690</doi_batch_id><timestamp>1713613279</timestamp><depositor><depositor_name>University of the Aegean</depositor_name><email_address>uoa@university.com</email_address></depositor><registrant>Global NEST Journal</registrant></head><body><journal><journal_metadata><full_title>Global NEST Journal</full_title><full_title>Global NEST: the international Journal</full_title><issn media_type="print">1790-7632</issn><issn media_type="electronic">2241-777X</issn></journal_metadata><journal_issue><titles><title>Issue 4</title></titles><publication_date><month>12</month><year>2024</year></publication_date><journal_volume><volume>11</volume></journal_volume><issue>4</issue></journal_issue><journal_article><titles><title>Principal component analysis of precipitation in Thessaly region (Central Greece)</title></titles><abstract xmlns="http://www.ncbi.nlm.nih.gov/JATS1"><p>Characteristics of the precipitation pattern are determined for Thessaly region in central Greece by using the Principal Component Analysis (PCA). Mean monthly precipitation data from 75 meteorological stations are used covering a 35 year period (1960-1994). The first two principal components (PCs), which describe 87.7% of the total variance, are taken into consideration. It is demonstrated statistically that PC1 is related to the frequency of the cyclones crossing the area, while PC2 is related to the anticyclonic and non-gradient surface weather types and cold pools aloft. This means that PC1 explains the annual amounts of precipitation and PC2 the summer thundery rainfalls. The spatial distribution of precipitation is studied afterwards. Using the PCs scores, homogeneous precipitation sectors are determined over the territory of which the annual pattern of precipitation is discussed. KEYWORDS:</p></abstract><publication_date><month>04</month><day>30</day><year>2013</year></publication_date><pages><first_page>467</first_page><last_page>476</last_page></pages><publisher_item><identifier id_type="pii">534</identifier></publisher_item><doi_data><doi>10.30955/gnj.000534</doi><timestamp>1713613279</timestamp><resource>https://journal.gnest.org/publication/534</resource></doi_data></journal_article></journal></body></doi_batch> </div>
