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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Spatial characterization of the meltwater field from icebergs in the Weddell Sea</title><author><name sortKey="Helly, John J" sort="Helly, John J" uniqKey="Helly J" first="John J." last="Helly">John J. Helly</name><affiliation><nlm:aff wicri:cut=" and" id="aff1">San Diego Supercomputer Center</nlm:aff></affiliation><affiliation><nlm:aff wicri:cut="; and" id="aff2">Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093</nlm:aff></affiliation></author><author><name sortKey="Kaufmann, Ronald S" sort="Kaufmann, Ronald S" uniqKey="Kaufmann R" first="Ronald S." last="Kaufmann">Ronald S. Kaufmann</name><affiliation><nlm:aff id="aff3">Marine Science and Environmental Studies Department, University of San Diego, 5998 Alcalá Park, San Diego, CA 92110</nlm:aff></affiliation></author><author><name sortKey="Vernet, Maria" sort="Vernet, Maria" uniqKey="Vernet M" first="Maria" last="Vernet">Maria Vernet</name><affiliation><nlm:aff wicri:cut="; and" id="aff2">Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093</nlm:aff></affiliation></author><author><name sortKey="Stephenson, Gordon R" sort="Stephenson, Gordon R" uniqKey="Stephenson G" first="Gordon R." last="Stephenson">Gordon R. Stephenson</name><affiliation><nlm:aff wicri:cut="; and" id="aff2">Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">21444769</idno><idno type="pmc">3078385</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3078385</idno><idno type="RBID">PMC:3078385</idno><idno type="doi">10.1073/pnas.0909306108</idno><date when="2011">2011</date><idno type="wicri:Area/Pmc/Corpus">000392</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Spatial characterization of the meltwater field from icebergs in the Weddell Sea</title><author><name sortKey="Helly, John J" sort="Helly, John J" uniqKey="Helly J" first="John J." last="Helly">John J. Helly</name><affiliation><nlm:aff wicri:cut=" and" id="aff1">San Diego Supercomputer Center</nlm:aff></affiliation><affiliation><nlm:aff wicri:cut="; and" id="aff2">Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093</nlm:aff></affiliation></author><author><name sortKey="Kaufmann, Ronald S" sort="Kaufmann, Ronald S" uniqKey="Kaufmann R" first="Ronald S." last="Kaufmann">Ronald S. Kaufmann</name><affiliation><nlm:aff id="aff3">Marine Science and Environmental Studies Department, University of San Diego, 5998 Alcalá Park, San Diego, CA 92110</nlm:aff></affiliation></author><author><name sortKey="Vernet, Maria" sort="Vernet, Maria" uniqKey="Vernet M" first="Maria" last="Vernet">Maria Vernet</name><affiliation><nlm:aff wicri:cut="; and" id="aff2">Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093</nlm:aff></affiliation></author><author><name sortKey="Stephenson, Gordon R" sort="Stephenson, Gordon R" uniqKey="Stephenson G" first="Gordon R." last="Stephenson">Gordon R. Stephenson</name><affiliation><nlm:aff wicri:cut="; and" id="aff2">Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093</nlm:aff></affiliation></author></analytic><series><title level="j">Proceedings of the National Academy of Sciences of the United States of America</title><idno type="ISSN">0027-8424</idno><idno type="eISSN">1091-6490</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>We describe the results from a spatial cyberinfrastructure developed to characterize the meltwater field around individual icebergs and integrate the results with regional- and global-scale data. During the course of the cyberinfrastructure development, it became clear that we were also building an integrated sampling planning capability across multidisciplinary teams that provided greater agility in allocating expedition resources resulting in new scientific insights. The cyberinfrastructure-enabled method is a complement to the conventional methods of hydrographic sampling in which the ship provides a static platform on a station-by-station basis. We adapted a sea-floor mapping method to more rapidly characterize the sea surface geophysically and biologically. By jointly analyzing the multisource, continuously sampled biological, chemical, and physical parameters, using Global Positioning System time as the data fusion key, this <italic>surface-mapping</italic> method enables us to examine the relationship between the meltwater field of the iceberg to the larger-scale marine ecosystem of the Southern Ocean. Through geospatial data fusion, we are able to combine very fine-scale maps of dynamic processes with more synoptic but lower-resolution data from satellite systems. Our results illustrate the importance of spatial cyberinfrastructure in the overall scientific enterprise and identify key interfaces and sources of error that require improved controls for the development of future Earth observing systems as we move into an era of peta- and exascale, data-intensive computing.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Proc Natl Acad Sci U S A</journal-id><journal-id journal-id-type="hwp">pnas</journal-id><journal-id journal-id-type="pmc">pnas</journal-id><journal-id journal-id-type="publisher-id">PNAS</journal-id><journal-title-group><journal-title>Proceedings of the National Academy of Sciences of the United States of America</journal-title></journal-title-group><issn pub-type="ppub">0027-8424</issn><issn pub-type="epub">1091-6490</issn><publisher><publisher-name>National Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">21444769</article-id><article-id pub-id-type="pmc">3078385</article-id><article-id pub-id-type="publisher-id">200909306</article-id><article-id pub-id-type="doi">10.1073/pnas.0909306108</article-id><article-categories><subj-group subj-group-type="heading"><subject>Spatial Cyberinfrastructure Special Feature</subject><subj-group><subject>Research Articles</subject></subj-group></subj-group><subj-group subj-group-type="heading"><subject>Physical Sciences</subject><subj-group><subject>Geophysics</subject></subj-group></subj-group><subj-group subj-group-type="heading"><subject>Biological Sciences</subject><subj-group><subject>Ecology</subject></subj-group></subj-group><series-title>Spatial Cyberinfrastructure Special Feature</series-title></article-categories><title-group><article-title>Spatial characterization of the meltwater field from icebergs in the Weddell Sea</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Helly</surname><given-names>John J.</given-names></name><xref ref-type="aff" rid="aff1"><sup>a</sup></xref><xref ref-type="aff" rid="aff2"><sup>b</sup></xref><xref ref-type="corresp" rid="cor1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Kaufmann</surname><given-names>Ronald S.</given-names></name><xref ref-type="aff" rid="aff3"><sup>c</sup></xref></contrib><contrib contrib-type="author"><name><surname>Vernet</surname><given-names>Maria</given-names></name><xref ref-type="aff" rid="aff2"><sup>b</sup></xref></contrib><contrib contrib-type="author"><name><surname>Stephenson</surname><given-names>Gordon R.</given-names></name><xref ref-type="aff" rid="aff2"><sup>b</sup></xref></contrib><aff id="aff1"><label>a</label>San Diego Supercomputer Center and</aff><aff id="aff2"><label>b</label>Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093; and</aff><aff id="aff3"><label>c</label>Marine Science and Environmental Studies Department, University of San Diego, 5998 Alcalá Park, San Diego, CA 92110</aff></contrib-group><author-notes><corresp id="cor1"><sup>1</sup>To whom correspondence should be addressed. E-mail: <email>hellyj@ucsd.edu</email>.</corresp><fn fn-type="edited-by"><p>Edited by Michael Goodchild, University of California, Santa Barbara, CA, and approved November 22, 2010 (received for review August 20, 2009)</p></fn><fn fn-type="participating-researchers"><p>Author contributions: J.J.H., R.S.K., and M.V. designed research; J.J.H., R.S.K., M.V., and G.R.S. performed research; J.J.H. contributed new reagents/analytic tools; J.J.H. analyzed data; and J.J.H. wrote the paper.</p></fn></author-notes><pub-date pub-type="ppub"><day>5</day><month>4</month><year>2011</year></pub-date><pub-date pub-type="epub"><day>28</day><month>3</month><year>2011</year></pub-date><volume>108</volume><issue>14</issue><fpage>5492</fpage><lpage>5497</lpage><self-uri xlink:title="pdf" xlink:type="simple" xlink:href="pnas.0909306108.pdf"></self-uri><abstract><p>We describe the results from a spatial cyberinfrastructure developed to characterize the meltwater field around individual icebergs and integrate the results with regional- and global-scale data. During the course of the cyberinfrastructure development, it became clear that we were also building an integrated sampling planning capability across multidisciplinary teams that provided greater agility in allocating expedition resources resulting in new scientific insights. The cyberinfrastructure-enabled method is a complement to the conventional methods of hydrographic sampling in which the ship provides a static platform on a station-by-station basis. We adapted a sea-floor mapping method to more rapidly characterize the sea surface geophysically and biologically. By jointly analyzing the multisource, continuously sampled biological, chemical, and physical parameters, using Global Positioning System time as the data fusion key, this <italic>surface-mapping</italic> method enables us to examine the relationship between the meltwater field of the iceberg to the larger-scale marine ecosystem of the Southern Ocean. Through geospatial data fusion, we are able to combine very fine-scale maps of dynamic processes with more synoptic but lower-resolution data from satellite systems. Our results illustrate the importance of spatial cyberinfrastructure in the overall scientific enterprise and identify key interfaces and sources of error that require improved controls for the development of future Earth observing systems as we move into an era of peta- and exascale, data-intensive computing.</p></abstract><kwd-group><kwd>Antarctica</kwd><kwd>remote sensing</kwd><kwd>hydrography</kwd><kwd>surface water</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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