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    <titleInfo>
        <title>Proxy-to-proxy calibration: Increasing the temporal resolution of quantitative climate reconstructions</title>
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    <name type="personal">
        <namePart type="family">Gunten</namePart>
        <namePart type="given">Lucien von</namePart>
        <role>
            <roleTerm type="text">author</roleTerm>
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    </name>
    <name type="personal" ID="wjd2111">
        <namePart type="family">D&apos;Andrea</namePart>
        <namePart type="given">William Joseph</namePart>
        <role>
            <roleTerm type="text">author</roleTerm>
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        <affiliation>Columbia University. Lamont-Doherty Earth Observatory </affiliation>
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    <name type="personal">
        <namePart type="family">Bradley</namePart>
        <namePart type="given">Raymond S.</namePart>
        <role>
            <roleTerm type="text">author</roleTerm>
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    </name>
    <name type="personal">
        <namePart type="family">Huang</namePart>
        <namePart type="given">Yongsong</namePart>
        <role>
            <roleTerm type="text">author</roleTerm>
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    </name>
    <name type="corporate">
        <namePart>Columbia University. Lamont-Doherty Earth Observatory</namePart>
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        <dateIssued encoding="w3cdtf" keyDate="yes">2012</dateIssued>
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    <abstract>High-resolution paleoclimate reconstructions are often restricted by the difficulties of sampling geologic archives in great detail and the analytical costs of processing large numbers of samples. Using sediments from Lake Braya Sø, Greenland, we introduce a new method that provides a quantitative high-resolution paleoclimate record by combining measurements of the alkenone unsaturation index (UK 37) with non-destructive scanning reflectance spectroscopic measurements in the visible range (VIS-RS). The proxy-to-proxy (PTP) method exploits two distinct calibrations: the in situ calibration of UK 37 to lake water temperature and the calibration of scanning VIS-RS data to down core UK 37 data. Using this approach, we produced a quantitative temperature record that is longer and has 5 times higher sampling resolution than the original UK 37 time series, thereby allowing detection of temperature variability in frequency bands characteristic of the AMO over the past 7,000 years.</abstract>
    <subject>
        <topic>Paleoclimate science</topic>
    </subject>
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        <titleInfo>
            <title>Scientific Reports</title>
        </titleInfo>
        <part>
            <detail type="volume">
                <number>2</number>
            </detail>
            <detail type="issue">
                <number>609</number>
            </detail>
            <extent unit="page">
                <start>1</start>
                <end>6</end>
            </extent>
            <date>2012-08</date>
        </part>
        <identifier type="doi">http://dx.doi.org/10.1038/srep00609</identifier>
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    <identifier type="hdl">http://hdl.handle.net/10022/AC:P:14820</identifier>
    
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        <recordCreationDate encoding="w3cdtf">2012-10-02 16:41:52 -0400</recordCreationDate>
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        <recordIdentifier>8825</recordIdentifier>
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