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  <controlfield tag="001">4268</controlfield>
  <controlfield tag="005">20190909101519.0</controlfield>
  <datafield tag="024" ind1="7" ind2=" ">
    <subfield code="a">10.1175/JTECH-D-18-0235.1</subfield>
    <subfield code="2">DOI</subfield>
  </datafield>
  <datafield tag="037" ind1=" " ind2=" ">
    <subfield code="a">SCART-2019-0193</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Gobron, K.</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Assessment of tide gauges biases and precisions by the combination of multiple co-located time series </subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">This study proposes a method for the cross-calibration of tide gauges. Based on the combination of at least three co-located sea level time series, it takes advantage of the Least-Squares Variance Component Estimation method to assess both sea-level biases and uncertainties in real conditions. The method was applied to a multi-instrument experiment carried out on Aix island, France, in 2016. Six tide gauges were deployed to carry out simultaneous sea level recordings for 11 hours. The best results were obtained with an electrical contact probe, which reaches a 3-millimeter uncertainty. The method allows assessing both the biases and the precision – i.e., the full accuracy – for each instrument. The results obtained with the proposed combination method have been compared to that of a buddy-checking method. It showed that the combination of all time series also provides more precise bias estimates.</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="a">U. La Rochelle and DGA-France/</subfield>
    <subfield code="c">U. La Rochelle and DGA-France/</subfield>
    <subfield code="f">U. La Rochelle and DGA-France</subfield>
  </datafield>
  <datafield tag="594" ind1=" " ind2=" ">
    <subfield code="a">NO</subfield>
  </datafield>
  <datafield tag="653" ind1="1" ind2=" ">
    <subfield code="a">Cross-calibration of tide gauges</subfield>
  </datafield>
  <datafield tag="653" ind1="1" ind2=" ">
    <subfield code="a">Aix island (France)</subfield>
  </datafield>
  <datafield tag="653" ind1="1" ind2=" ">
    <subfield code="a">Least-Squares Variance Component Estimation method</subfield>
  </datafield>
  <datafield tag="653" ind1="1" ind2=" ">
    <subfield code="a">Sea-level biases and uncertaintie</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">de Viron, O.</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Wöppelmann, G.</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Poirier, E.</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Ballu, V.</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Van Camp, M.</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="p">Journal of Atmospheric and Oceanic Technology</subfield>
    <subfield code="y">2019</subfield>
  </datafield>
  <datafield tag="856" ind1="0" ind2=" ">
    <subfield code="f">michel.vancamp@observatoire.be</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="2">
    <subfield code="a">https://doi.org/10.1175/JTECH-D-18-0235.1</subfield>
  </datafield>
  <datafield tag="905" ind1=" " ind2=" ">
    <subfield code="a">published in</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">REFERD</subfield>
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