The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series
Identifieur interne : 001B80 ( Istex/Corpus ); précédent : 001B79; suivant : 001B81The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series
Auteurs : J. Junk ; U. Feister ; A. Helbig ; K. Görgen ; E. Rozanov ; J. W. Krzy Cin ; L. HoffmannSource :
- Journal of Geophysical Research: Atmospheres [ 0148-0227 ] ; 2012-08-27.
Abstract
Solar erythemal UV radiation (UVER) is highly relevant for numerous biological processes that affect plants, animals, and human health. Nevertheless, long‐term UVER records are scarce. As significant declines in the column ozone concentration were observed in the past and a recovery of the stratospheric ozone layer is anticipated by the middle of the 21st century, there is a strong interest in the temporal variation of UVERtime series. Therefore, we combined ground‐based measurements of different meteorological variables with modeled ozone data sets to reconstruct time series of daily totals of UVER at the Meteorological Observatory, Potsdam, Germany. Artificial neural networks were trained with measured UVER, sunshine duration, the day of year, measured and modeled total column ozone, as well as the minimum solar zenith angle. This allows for the reconstruction of daily totals of UVERfor the period from 1901 to 1999. Additionally, analyses of the long‐term variations from 1901 until 1999 of the reconstructed, new UVER data set are presented. The time series of monthly and annual totals of UVERprovide a long‐term meteorological basis for epidemiological investigations in human health and occupational medicine for the region of Potsdam and Berlin. A strong benefit of our ANN‐approach is the fact that it can be easily adapted to different geographical locations, as successfully tested in the framework of the COSTAction 726.
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DOI: 10.1029/2012JD017659
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Junk</name><affiliation><mods:affiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: junk@lippmann.lu</mods:affiliation></affiliation></author><author><name sortKey="Feister, U" sort="Feister, U" uniqKey="Feister U" first="U." last="Feister">U. Feister</name><affiliation><mods:affiliation>German Meteorological Service (DWD), Meteorological Observatory Lindenberg–Richard-Aßmann-Observatory, Lindenberg, Germany</mods:affiliation></affiliation></author><author><name sortKey="Helbig, A" sort="Helbig, A" uniqKey="Helbig A" first="A." last="Helbig">A. Helbig</name><affiliation><mods:affiliation>Department of Environmental Meteorology, University of Trier, Trier, Germany</mods:affiliation></affiliation></author><author><name sortKey="Gorgen, K" sort="Gorgen, K" uniqKey="Gorgen K" first="K." last="Görgen">K. Görgen</name><affiliation><mods:affiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</mods:affiliation></affiliation></author><author><name sortKey="Rozanov, E" sort="Rozanov, E" uniqKey="Rozanov E" first="E." last="Rozanov">E. Rozanov</name><affiliation><mods:affiliation>Institute for Atmospheric and Climate Science, Zurich, Switzerland</mods:affiliation></affiliation><affiliation><mods:affiliation>Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center, Davos, Switzerland</mods:affiliation></affiliation></author><author><name sortKey="Krzy Cin, J W" sort="Krzy Cin, J W" uniqKey="Krzy Cin J" first="J. W." last="Krzy Cin">J. W. Krzy Cin</name><affiliation><mods:affiliation>Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland</mods:affiliation></affiliation></author><author><name sortKey="Hoffmann, L" sort="Hoffmann, L" uniqKey="Hoffmann L" first="L." last="Hoffmann">L. Hoffmann</name><affiliation><mods:affiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of Geophysical Research: Atmospheres</title><title level="j" type="abbrev">J. Geophys. Res.</title><idno type="ISSN">0148-0227</idno><idno type="eISSN">2156-2202</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2012-08-27">2012-08-27</date><biblScope unit="volume">117</biblScope><biblScope unit="issue">D16</biblScope><biblScope unit="page" from="/">n/a</biblScope><biblScope unit="page" to="/">n/a</biblScope></imprint><idno type="ISSN">0148-0227</idno></series><idno type="istex">BA61543841E83CA8B07DB161007E7111940B3622</idno><idno type="DOI">10.1029/2012JD017659</idno><idno type="ArticleID">2012JD017659</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0148-0227</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">Solar erythemal UV radiation (UVER) is highly relevant for numerous biological processes that affect plants, animals, and human health. Nevertheless, long‐term UVER records are scarce. As significant declines in the column ozone concentration were observed in the past and a recovery of the stratospheric ozone layer is anticipated by the middle of the 21st century, there is a strong interest in the temporal variation of UVERtime series. Therefore, we combined ground‐based measurements of different meteorological variables with modeled ozone data sets to reconstruct time series of daily totals of UVER at the Meteorological Observatory, Potsdam, Germany. Artificial neural networks were trained with measured UVER, sunshine duration, the day of year, measured and modeled total column ozone, as well as the minimum solar zenith angle. This allows for the reconstruction of daily totals of UVERfor the period from 1901 to 1999. Additionally, analyses of the long‐term variations from 1901 until 1999 of the reconstructed, new UVER data set are presented. The time series of monthly and annual totals of UVERprovide a long‐term meteorological basis for epidemiological investigations in human health and occupational medicine for the region of Potsdam and Berlin. A strong benefit of our ANN‐approach is the fact that it can be easily adapted to different geographical locations, as successfully tested in the framework of the COSTAction 726.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>J. Junk</name><affiliations><json:string>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</json:string><json:string>E-mail: junk@lippmann.lu</json:string></affiliations></json:item><json:item><name>U. Feister</name><affiliations><json:string>German Meteorological Service (DWD), Meteorological Observatory Lindenberg–Richard-Aßmann-Observatory, Lindenberg, Germany</json:string></affiliations></json:item><json:item><name>A. Helbig</name><affiliations><json:string>Department of Environmental Meteorology, University of Trier, Trier, Germany</json:string></affiliations></json:item><json:item><name>K. Görgen</name><affiliations><json:string>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</json:string></affiliations></json:item><json:item><name>E. Rozanov</name><affiliations><json:string>Institute for Atmospheric and Climate Science, Zurich, Switzerland</json:string><json:string>Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center, Davos, Switzerland</json:string></affiliations></json:item><json:item><name>J. W. Krzyścin</name><affiliations><json:string>Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland</json:string></affiliations></json:item><json:item><name>L. Hoffmann</name><affiliations><json:string>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>artificial neural network</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>column ozone</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>erythemal UV radiation</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>sunshine duration</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>time series reconstruction</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>trend analysis</value></json:item></subject><articleId><json:string>2012JD017659</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><qualityIndicators><score>9.116</score><pdfVersion>1.6</pdfVersion><pdfPageSize>612 x 792 pts (letter)</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>1445</abstractCharCount><pdfWordCount>6352</pdfWordCount><pdfCharCount>38875</pdfCharCount><pdfPageCount>10</pdfPageCount><abstractWordCount>218</abstractWordCount></qualityIndicators><title>The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series</title><refBibs><json:item><author><json:item><name>J. 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Discuss.</title></host><title>Evidence of a possible turning point of UVB increase over Canada, Europe and Japan</title></json:item></refBibs><genre><json:string>article</json:string></genre><host><volume>117</volume><publisherId><json:string>JGRD</json:string></publisherId><pages><total>10</total><last>n/a</last><first>n/a</first></pages><issn><json:string>0148-0227</json:string></issn><issue>D16</issue><subject><json:item><value>Climate and Dynamics</value></json:item><json:item><value>GLOBAL CHANGE</value></json:item><json:item><value>Climate variability</value></json:item><json:item><value>Climate dynamics</value></json:item><json:item><value>ATMOSPHERIC PROCESSES</value></json:item><json:item><value>Climatology</value></json:item><json:item><value>Radiative processes</value></json:item><json:item><value>Instruments and techniques</value></json:item><json:item><value>General or miscellaneous</value></json:item><json:item><value>Climate change and variability</value></json:item><json:item><value>OCEANOGRAPHY: GENERAL</value></json:item><json:item><value>Climate and interannual variability</value></json:item><json:item><value>VOLCANOLOGY</value></json:item><json:item><value>Volcano/climate interactions</value></json:item><json:item><value>Climate and Dynamics</value></json:item></subject><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>2156-2202</json:string></eissn><title>Journal of Geophysical Research: Atmospheres</title><doi><json:string>10.1002/(ISSN)2156-2202d</json:string></doi></host><categories><wos><json:string>science</json:string><json:string>geosciences, multidisciplinary</json:string></wos><scienceMetrix><json:string>natural sciences</json:string><json:string>earth & environmental sciences</json:string><json:string>meteorology & atmospheric sciences</json:string></scienceMetrix></categories><publicationDate>2012</publicationDate><copyrightDate>2012</copyrightDate><doi><json:string>10.1029/2012JD017659</json:string></doi><id>BA61543841E83CA8B07DB161007E7111940B3622</id><score>0.59882677</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/BA61543841E83CA8B07DB161007E7111940B3622/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/BA61543841E83CA8B07DB161007E7111940B3622/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/BA61543841E83CA8B07DB161007E7111940B3622/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Blackwell Publishing Ltd</publisher><availability><p>©2012. American Geophysical Union. All Rights Reserved.</p></availability><date>2012</date></publicationStmt><notesStmt><note>Tab‐delimited Table 1.Tab‐delimited Table 2.</note><note>Minist�re de l'Enseignement sup�rieur et de la Recherche (MESR) of the Grand Duchy of Luxembourg - No. AirQ;</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series</title><author xml:id="author-1"><persName><forename type="first">J.</forename><surname>Junk</surname></persName><email>junk@lippmann.lu</email><affiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</affiliation></author><author xml:id="author-2"><persName><forename type="first">U.</forename><surname>Feister</surname></persName><affiliation>German Meteorological Service (DWD), Meteorological Observatory Lindenberg–Richard-Aßmann-Observatory, Lindenberg, Germany</affiliation></author><author xml:id="author-3"><persName><forename type="first">A.</forename><surname>Helbig</surname></persName><affiliation>Department of Environmental Meteorology, University of Trier, Trier, Germany</affiliation></author><author xml:id="author-4"><persName><forename type="first">K.</forename><surname>Görgen</surname></persName><affiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</affiliation></author><author xml:id="author-5"><persName><forename type="first">E.</forename><surname>Rozanov</surname></persName><affiliation>Institute for Atmospheric and Climate Science, Zurich, Switzerland</affiliation><affiliation>Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center, Davos, Switzerland</affiliation></author><author xml:id="author-6"><persName><forename type="first">J. W.</forename><surname>Krzyścin</surname></persName><affiliation>Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland</affiliation></author><author xml:id="author-7"><persName><forename type="first">L.</forename><surname>Hoffmann</surname></persName><affiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</affiliation></author></analytic><monogr><title level="j">Journal of Geophysical Research: Atmospheres</title><title level="j" type="abbrev">J. Geophys. Res.</title><idno type="pISSN">0148-0227</idno><idno type="eISSN">2156-2202</idno><idno type="DOI">10.1002/(ISSN)2156-2202d</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2012-08-27"></date><biblScope unit="volume">117</biblScope><biblScope unit="issue">D16</biblScope><biblScope unit="page" from="/">n/a</biblScope><biblScope unit="page" to="/">n/a</biblScope></imprint></monogr><idno type="istex">BA61543841E83CA8B07DB161007E7111940B3622</idno><idno type="DOI">10.1029/2012JD017659</idno><idno type="ArticleID">2012JD017659</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2012</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>Solar erythemal UV radiation (UVER) is highly relevant for numerous biological processes that affect plants, animals, and human health. Nevertheless, long‐term UVER records are scarce. As significant declines in the column ozone concentration were observed in the past and a recovery of the stratospheric ozone layer is anticipated by the middle of the 21st century, there is a strong interest in the temporal variation of UVERtime series. Therefore, we combined ground‐based measurements of different meteorological variables with modeled ozone data sets to reconstruct time series of daily totals of UVER at the Meteorological Observatory, Potsdam, Germany. Artificial neural networks were trained with measured UVER, sunshine duration, the day of year, measured and modeled total column ozone, as well as the minimum solar zenith angle. This allows for the reconstruction of daily totals of UVERfor the period from 1901 to 1999. Additionally, analyses of the long‐term variations from 1901 until 1999 of the reconstructed, new UVER data set are presented. The time series of monthly and annual totals of UVERprovide a long‐term meteorological basis for epidemiological investigations in human health and occupational medicine for the region of Potsdam and Berlin. A strong benefit of our ANN‐approach is the fact that it can be easily adapted to different geographical locations, as successfully tested in the framework of the COSTAction 726.</p></abstract><abstract style="short"><p>Successful reconstruction of a 99‐year time series of daily erythemal UV totals Reduced uncertainties in the reconstructed time series due to additional ozone Significant trends in the reconstructed UV time series were detected</p></abstract><textClass><keywords scheme="keyword"><list><head>keywords</head><item><term>artificial neural network</term></item><item><term>column ozone</term></item><item><term>erythemal UV radiation</term></item><item><term>sunshine duration</term></item><item><term>time series reconstruction</term></item><item><term>trend analysis</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>index-terms</head><item><term>Climate and Dynamics</term></item><item><term>GLOBAL CHANGE</term></item><item><term>Climate variability</term></item><item><term>Climate dynamics</term></item><item><term>ATMOSPHERIC PROCESSES</term></item><item><term>Climatology</term></item><item><term>Radiative processes</term></item><item><term>Instruments and techniques</term></item><item><term>General or miscellaneous</term></item><item><term>Climate change and variability</term></item><item><term>OCEANOGRAPHY: GENERAL</term></item><item><term>Climate and interannual variability</term></item><item><term>VOLCANOLOGY</term></item><item><term>Volcano/climate interactions</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Climate and Dynamics</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2012-03-05">Received</change><change when="2012-07-03">Registration</change><change when="2012-08-27">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/BA61543841E83CA8B07DB161007E7111940B3622/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component type="serialArticle" version="2.0" xml:lang="en" xml:id="jgrd17969"><header><publicationMeta level="product"><doi>10.1002/(ISSN)2156-2202d</doi><issn type="print">0148-0227</issn><issn type="electronic">2156-2202</issn><idGroup><id type="product" value="JGRD"></id><id type="coden" value="JGREA2"></id></idGroup><titleGroup><title type="main" xml:lang="en" sort="JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES">Journal of Geophysical Research: Atmospheres</title><title type="short">J. Geophys. Res.</title></titleGroup></publicationMeta><publicationMeta level="part" position="160"><doi>10.1002/jgrd.v117.D16</doi><idGroup><id type="focusSection" value="4"></id></idGroup><titleGroup><title type="focusSection" xml:lang="en">Journal of Geophysical Research: Atmospheres</title></titleGroup><numberingGroup><numbering type="journalVolume" number="117">117</numbering><numbering type="journalIssue">D16</numbering></numberingGroup><coverDate startDate="2012-08-27">27 August 2012</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="330" status="forIssue"><doi>10.1029/2012JD017659</doi><idGroup><id type="editorialOffice" value="2012JD017659"></id><id type="society" value="D16102"></id><id type="unit" value="JGRD17969"></id></idGroup><countGroup><count type="pageTotal" number="10"></count></countGroup><titleGroup><title type="articleCategory">Climate and Dynamics</title><title type="tocHeading1">Climate and Dynamics</title></titleGroup><copyright ownership="thirdParty">©2012. American Geophysical Union. All Rights Reserved.</copyright><eventGroup><event type="manuscriptReceived" date="2012-03-05"></event><event type="manuscriptRevised" date="2012-06-28"></event><event type="manuscriptAccepted" date="2012-07-03"></event><event type="firstOnline" date="2012-08-17"></event><event type="publishedOnlineFinalForm" date="2012-08-17"></event><event type="xmlConverted" agent="SPi Global Converter:AGUv5.2_TO_WileyML3Gv1.0.3 version:1.3; WileyML 3G Packaging Tool v1.0" date="2013-03-06"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-30"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.3.4 mode:FullText" date="2015-02-25"></event></eventGroup><numberingGroup><numbering type="pageFirst">n/a</numbering><numbering type="pageLast">n/a</numbering></numberingGroup><correspondenceTo>Corresponding author: J. Junk, Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro‐Biotechnologies, 41 rue du Brill, LU‐4422 Belvaux, Luxembourg. (<email>junk@lippmann.lu</email>)</correspondenceTo><subjectInfo><subject href="http://psi.agu.org/subset/ACL">Climate and Dynamics</subject><subject role="crossTerm" href="http://psi.agu.org/taxonomy5/1600">GLOBAL CHANGE</subject><subjectInfo><subject role="crossTerm" href="http://psi.agu.org/taxonomy5/1616">Climate variability</subject><subject role="crossTerm" href="http://psi.agu.org/taxonomy5/1620">Climate dynamics</subject></subjectInfo><subject href="http://psi.agu.org/taxonomy5/3300">ATMOSPHERIC PROCESSES</subject><subjectInfo><subject href="http://psi.agu.org/taxonomy5/3309">Climatology</subject><subject href="http://psi.agu.org/taxonomy5/3359">Radiative processes</subject><subject href="http://psi.agu.org/taxonomy5/3394">Instruments and techniques</subject><subject href="http://psi.agu.org/taxonomy5/3399">General or miscellaneous</subject><subject role="crossTerm" href="http://psi.agu.org/taxonomy5/3305">Climate change and variability</subject></subjectInfo><subject role="crossTerm" href="http://psi.agu.org/taxonomy5/4200">OCEANOGRAPHY: GENERAL</subject><subjectInfo><subject role="crossTerm" href="http://psi.agu.org/taxonomy5/4215">Climate and interannual variability</subject></subjectInfo><subject role="crossTerm" href="http://psi.agu.org/taxonomy5/8400">VOLCANOLOGY</subject><subjectInfo><subject role="crossTerm" href="http://psi.agu.org/taxonomy5/8408">Volcano/climate interactions</subject></subjectInfo></subjectInfo><selfCitationGroup><citation xml:id="jgrd17969-cit-0000" type="self"><author><familyName>Junk</familyName>, <givenNames>J.</givenNames></author>, <author><givenNames>U.</givenNames> <familyName>Feister</familyName></author>, <author><givenNames>A.</givenNames> <familyName>Helbig</familyName></author>, <author><givenNames>K.</givenNames> <familyName>Görgen</familyName></author>, <author><givenNames>E.</givenNames> <familyName>Rozanov</familyName></author>, <author><givenNames>J. W.</givenNames> <familyName>Krzyścin</familyName></author>, and <author><givenNames>L.</givenNames> <familyName>Hoffmann</familyName></author> (<pubYear year="2012">2012</pubYear>), <articleTitle>The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series</articleTitle>, <journalTitle>J. Geophys. Res.</journalTitle>, <vol>117</vol>, D16102, doi:<accessionId ref="info:doi/10.1029/2012JD017659">10.1029/2012JD017659</accessionId>.</citation></selfCitationGroup><linkGroup><link type="toTypesetVersion" href="file:JGRD.JGRD17969.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="wordTotal" number="6900"></count><count type="figureTotal" number="8"></count><count type="tableTotal" number="2"></count></countGroup><titleGroup><title type="main">The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series</title><title type="shortAuthors">JUNK ET AL.</title><title type="short">RECONSTRUCTION OF RADIATION TIME SERIES</title></titleGroup><creators><creator xml:id="jgrd17969-cr-0001" creatorRole="author" affiliationRef="#jgrd17969-aff-0001" corresponding="yes"><personName><givenNames>J.</givenNames><familyName>Junk</familyName></personName><contactDetails><email>junk@lippmann.lu</email></contactDetails></creator><creator xml:id="jgrd17969-cr-0002" creatorRole="author" affiliationRef="#jgrd17969-aff-0002"><personName><givenNames>U.</givenNames><familyName>Feister</familyName></personName></creator><creator xml:id="jgrd17969-cr-0003" creatorRole="author" affiliationRef="#jgrd17969-aff-0003"><personName><givenNames>A.</givenNames><familyName>Helbig</familyName></personName></creator><creator xml:id="jgrd17969-cr-0004" creatorRole="author" affiliationRef="#jgrd17969-aff-0001"><personName><givenNames>K.</givenNames><familyName>Görgen</familyName></personName></creator><creator xml:id="jgrd17969-cr-0005" creatorRole="author" affiliationRef="#jgrd17969-aff-0004 #jgrd17969-aff-0005"><personName><givenNames>E.</givenNames><familyName>Rozanov</familyName></personName></creator><creator xml:id="jgrd17969-cr-0006" creatorRole="author" affiliationRef="#jgrd17969-aff-0006"><personName><givenNames>J. W.</givenNames><familyName>Krzyścin</familyName></personName></creator><creator xml:id="jgrd17969-cr-0007" creatorRole="author" affiliationRef="#jgrd17969-aff-0001"><personName><givenNames>L.</givenNames><familyName>Hoffmann</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="jgrd17969-aff-0001" countryCode="LU" type="organization"><unparsedAffiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</unparsedAffiliation></affiliation><affiliation xml:id="jgrd17969-aff-0002" countryCode="DE" type="organization"><unparsedAffiliation>German Meteorological Service (DWD), Meteorological Observatory Lindenberg–Richard-Aßmann-Observatory, Lindenberg, Germany</unparsedAffiliation></affiliation><affiliation xml:id="jgrd17969-aff-0003" countryCode="DE" type="organization"><unparsedAffiliation>Department of Environmental Meteorology, University of Trier, Trier, Germany</unparsedAffiliation></affiliation><affiliation xml:id="jgrd17969-aff-0004" countryCode="CH" type="organization"><unparsedAffiliation>Institute for Atmospheric and Climate Science, Zurich, Switzerland</unparsedAffiliation></affiliation><affiliation xml:id="jgrd17969-aff-0005" countryCode="CH" type="organization"><unparsedAffiliation>Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center, Davos, Switzerland</unparsedAffiliation></affiliation><affiliation xml:id="jgrd17969-aff-0006" countryCode="PL" type="organization"><unparsedAffiliation>Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup type="author"><keyword xml:id="jgrd17969-kwd-0001">artificial neural network</keyword><keyword xml:id="jgrd17969-kwd-0002">column ozone</keyword><keyword xml:id="jgrd17969-kwd-0003">erythemal UV radiation</keyword><keyword xml:id="jgrd17969-kwd-0004">sunshine duration</keyword><keyword xml:id="jgrd17969-kwd-0005">time series reconstruction</keyword><keyword xml:id="jgrd17969-kwd-0006">trend analysis</keyword></keywordGroup><fundingInfo><fundingAgency>Minist�re de l'Enseignement sup�rieur et de la Recherche (MESR) of the Grand Duchy of Luxembourg</fundingAgency><fundingNumber>AirQ</fundingNumber></fundingInfo><supportingInformation><supportingInfoItem><mediaResource alt="supplementary data" mimeType="text/plain" href="urn-x:wiley:01480227:media:jgrd17969:jgrd17969-sup-0001-t01"></mediaResource><caption>Tab‐delimited Table 1.</caption></supportingInfoItem><supportingInfoItem><mediaResource alt="supplementary data" mimeType="text/plain" href="urn-x:wiley:01480227:media:jgrd17969:jgrd17969-sup-0002-t02"></mediaResource><caption>Tab‐delimited Table 2.</caption></supportingInfoItem></supportingInformation><abstractGroup><abstract type="main"><p xml:id="jgrd17969-para-0001" label="1">Solar erythemal UV radiation (UV<sub>ER</sub>) is highly relevant for numerous biological processes that affect plants, animals, and human health. Nevertheless, long‐term UV<sub>ER</sub> records are scarce. As significant declines in the column ozone concentration were observed in the past and a recovery of the stratospheric ozone layer is anticipated by the middle of the 21st century, there is a strong interest in the temporal variation of UV<sub>ER</sub>time series. Therefore, we combined ground‐based measurements of different meteorological variables with modeled ozone data sets to reconstruct time series of daily totals of UV<sub>ER</sub> at the Meteorological Observatory, Potsdam, Germany. Artificial neural networks were trained with measured UV<sub>ER</sub>, sunshine duration, the day of year, measured and modeled total column ozone, as well as the minimum solar zenith angle. This allows for the reconstruction of daily totals of UV<sub>ER</sub>for the period from 1901 to 1999. Additionally, analyses of the long‐term variations from 1901 until 1999 of the reconstructed, new UV<sub>ER</sub> data set are presented. The time series of monthly and annual totals of UV<sub>ER</sub>provide a long‐term meteorological basis for epidemiological investigations in human health and occupational medicine for the region of Potsdam and Berlin. A strong benefit of our ANN‐approach is the fact that it can be easily adapted to different geographical locations, as successfully tested in the framework of the COSTAction 726.</p></abstract><abstract type="short"><title type="main">Key Points</title><p xml:id="jgrd17969-para-0002"><list style="bulleted"><listItem>Successful reconstruction of a 99‐year time series of daily erythemal UV totals</listItem><listItem>Reduced uncertainties in the reconstructed time series due to additional ozone</listItem><listItem>Significant trends in the reconstructed UV time series were detected</listItem></list></p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>RECONSTRUCTION OF RADIATION TIME SERIES</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series</title></titleInfo><name type="personal"><namePart type="given">J.</namePart><namePart type="family">Junk</namePart><affiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</affiliation><affiliation>E-mail: junk@lippmann.lu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">U.</namePart><namePart type="family">Feister</namePart><affiliation>German Meteorological Service (DWD), Meteorological Observatory Lindenberg–Richard-Aßmann-Observatory, Lindenberg, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">A.</namePart><namePart type="family">Helbig</namePart><affiliation>Department of Environmental Meteorology, University of Trier, Trier, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">K.</namePart><namePart type="family">Görgen</namePart><affiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">E.</namePart><namePart type="family">Rozanov</namePart><affiliation>Institute for Atmospheric and Climate Science, Zurich, Switzerland</affiliation><affiliation>Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center, Davos, Switzerland</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J. W.</namePart><namePart type="family">Krzyścin</namePart><affiliation>Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">L.</namePart><namePart type="family">Hoffmann</namePart><affiliation>Centre de Recherche Public–Gabriel Lippmann, Department of Environment and Agro-Biotechnologies, Belvaux, Luxembourg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><dateIssued encoding="w3cdtf">2012-08-27</dateIssued><dateCaptured encoding="w3cdtf">2012-03-05</dateCaptured><dateValid encoding="w3cdtf">2012-07-03</dateValid><edition>Junk, J., U. Feister, A. Helbig, K. Görgen, E. Rozanov, J. W. Krzyścin, and L. Hoffmann (2012), The benefit of modeled ozone data for the reconstruction of a 99‐year UV radiation time series, J. Geophys. Res., 117, D16102, doi:10.1029/2012JD017659.</edition><copyrightDate encoding="w3cdtf">2012</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">8</extent><extent unit="tables">2</extent><extent unit="words">6900</extent></physicalDescription><abstract>Solar erythemal UV radiation (UVER) is highly relevant for numerous biological processes that affect plants, animals, and human health. Nevertheless, long‐term UVER records are scarce. As significant declines in the column ozone concentration were observed in the past and a recovery of the stratospheric ozone layer is anticipated by the middle of the 21st century, there is a strong interest in the temporal variation of UVERtime series. Therefore, we combined ground‐based measurements of different meteorological variables with modeled ozone data sets to reconstruct time series of daily totals of UVER at the Meteorological Observatory, Potsdam, Germany. Artificial neural networks were trained with measured UVER, sunshine duration, the day of year, measured and modeled total column ozone, as well as the minimum solar zenith angle. This allows for the reconstruction of daily totals of UVERfor the period from 1901 to 1999. Additionally, analyses of the long‐term variations from 1901 until 1999 of the reconstructed, new UVER data set are presented. The time series of monthly and annual totals of UVERprovide a long‐term meteorological basis for epidemiological investigations in human health and occupational medicine for the region of Potsdam and Berlin. A strong benefit of our ANN‐approach is the fact that it can be easily adapted to different geographical locations, as successfully tested in the framework of the COSTAction 726.</abstract><abstract type="short">Successful reconstruction of a 99‐year time series of daily erythemal UV totals Reduced uncertainties in the reconstructed time series due to additional ozone Significant trends in the reconstructed UV time series were detected</abstract><note type="additional physical form">Tab‐delimited Table 1.Tab‐delimited Table 2.</note><note type="funding">Minist�re de l'Enseignement sup�rieur et de la Recherche (MESR) of the Grand Duchy of Luxembourg - No. AirQ; </note><subject><genre>keywords</genre><topic>artificial neural network</topic><topic>column ozone</topic><topic>erythemal UV radiation</topic><topic>sunshine duration</topic><topic>time series reconstruction</topic><topic>trend analysis</topic></subject><relatedItem type="host"><titleInfo><title>Journal of Geophysical Research: Atmospheres</title></titleInfo><titleInfo type="abbreviated"><title>J. Geophys. Res.</title></titleInfo><genre type="journal">journal</genre><subject><genre>index-terms</genre><topic authorityURI="http://psi.agu.org/subset/ACL">Climate and Dynamics</topic><topic authorityURI="http://psi.agu.org/taxonomy5/1600">GLOBAL CHANGE</topic><topic authorityURI="http://psi.agu.org/taxonomy5/1616">Climate variability</topic><topic authorityURI="http://psi.agu.org/taxonomy5/1620">Climate dynamics</topic><topic authorityURI="http://psi.agu.org/taxonomy5/3300">ATMOSPHERIC PROCESSES</topic><topic authorityURI="http://psi.agu.org/taxonomy5/3309">Climatology</topic><topic authorityURI="http://psi.agu.org/taxonomy5/3359">Radiative processes</topic><topic authorityURI="http://psi.agu.org/taxonomy5/3394">Instruments and techniques</topic><topic authorityURI="http://psi.agu.org/taxonomy5/3399">General or miscellaneous</topic><topic authorityURI="http://psi.agu.org/taxonomy5/3305">Climate change and variability</topic><topic authorityURI="http://psi.agu.org/taxonomy5/4200">OCEANOGRAPHY: GENERAL</topic><topic authorityURI="http://psi.agu.org/taxonomy5/4215">Climate and interannual variability</topic><topic authorityURI="http://psi.agu.org/taxonomy5/8400">VOLCANOLOGY</topic><topic authorityURI="http://psi.agu.org/taxonomy5/8408">Volcano/climate interactions</topic></subject><subject><genre>article-category</genre><topic>Climate and Dynamics</topic></subject><identifier type="ISSN">0148-0227</identifier><identifier type="eISSN">2156-2202</identifier><identifier type="DOI">10.1002/(ISSN)2156-2202d</identifier><identifier type="CODEN">JGREA2</identifier><identifier type="PublisherID">JGRD</identifier><part><date>2012</date><detail type="volume"><caption>vol.</caption><number>117</number></detail><detail type="issue"><caption>no.</caption><number>D16</number></detail><extent unit="pages"><start>n/a</start><end>n/a</end><total>10</total></extent></part></relatedItem><identifier type="istex">BA61543841E83CA8B07DB161007E7111940B3622</identifier><identifier type="DOI">10.1029/2012JD017659</identifier><identifier type="ArticleID">2012JD017659</identifier><accessCondition type="use and reproduction" contentType="copyright">©2012. American Geophysical Union. All Rights Reserved.</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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