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Optimum interpolation - Revision history
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|Display title</ins>=<ins style="font-weight: bold; text-decoration: none;">optimum interpolation</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>{{<del style="font-weight: bold; text-decoration: none;">TermHeader}}</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|Definitions</ins>=<ins style="font-weight: bold; text-decoration: none;">{{Definition</ins></div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|Meaning</ins>=Commonly known as OI, this procedure provides an estimate of the state of the [[atmosphere]] by a weighted least squares fit to observations and a [[background field]], usually provided by a [[NWP]] model forecast.</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"><div class</del>=<del style="font-weight: bold; text-decoration: none;">"termentry"></del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|Explanation</ins>=The weights are the inverse of the [[error]] covariance matrices for the observations and the background field. The word "optimum" is misleading, because in practice it is difficult to define the error covariances accurately. A more appropriate term is "statistical interpolation."<br/> <ins style="font-weight: bold; text-decoration: none;"> </ins>Daley, R. 1991. Atmospheric Data Analysis. 98&ndash;184. </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"> <div class</del>=<del style="font-weight: bold; text-decoration: none;">"term"></del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>}}</div></td></tr>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"><div class="definition"><div class</del>=<del style="font-weight: bold; text-decoration: none;">"short_definition"></del>Commonly known as OI, this procedure provides an estimate of the state of the [[atmosphere]] by a weighted least squares fit to observations and a [[background field]], usually provided by a [[NWP]] model forecast.<del style="font-weight: bold; text-decoration: none;"></div><br/> <div class</del>=<del style="font-weight: bold; text-decoration: none;">"paragraph"></del>The weights are the inverse of the [[error]] covariance matrices for the observations and the background field. The word "optimum" is misleading, because in practice it is difficult to define the error covariances accurately. A more appropriate term is "statistical interpolation."<del style="font-weight: bold; text-decoration: none;"></div></del><br/> <del style="font-weight: bold; text-decoration: none;"></div><div class="reference"> </del>Daley, R. 1991. Atmospheric Data Analysis. 98&ndash;184. <del style="font-weight: bold; text-decoration: none;"></div><br/> </del></div></td><td colspan="2" class="diff-side-added"></td></tr>
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WikiTeq
https://glossary.ametsoc.org/w/index.php?title=Optimum_interpolation&diff=9391&oldid=prev
Unknown user at 22:47, 20 February 2012
2012-02-20T22:47:35Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:47, 20 February 2012</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><div class="definition"><div class="short_definition">Commonly known as OI, this procedure provides an estimate of the state of the [[atmosphere]] by a weighted least squares fit to observations and a [[background field]], usually provided by a [[NWP]] model forecast.</div><br/> <div class="paragraph">The weights are the inverse of the [[error]] covariance matrices for the observations and the background field. The word <del style="font-weight: bold; text-decoration: none;">&ldquo;</del>optimum<del style="font-weight: bold; text-decoration: none;">&rdquo; </del>is misleading, because in practice it is difficult to define the error covariances accurately. A more appropriate term is <del style="font-weight: bold; text-decoration: none;">&ldquo;</del>statistical interpolation.<del style="font-weight: bold; text-decoration: none;">&rdquo;</del></div><br/> </div><div class="reference"> Daley, R. 1991. Atmospheric Data Analysis. 98&ndash;184. </div><br/> </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><div class="definition"><div class="short_definition">Commonly known as OI, this procedure provides an estimate of the state of the [[atmosphere]] by a weighted least squares fit to observations and a [[background field]], usually provided by a [[NWP]] model forecast.</div><br/> <div class="paragraph">The weights are the inverse of the [[error]] covariance matrices for the observations and the background field. The word <ins style="font-weight: bold; text-decoration: none;">"</ins>optimum<ins style="font-weight: bold; text-decoration: none;">" </ins>is misleading, because in practice it is difficult to define the error covariances accurately. A more appropriate term is <ins style="font-weight: bold; text-decoration: none;">"</ins>statistical interpolation.<ins style="font-weight: bold; text-decoration: none;">"</ins></div><br/> </div><div class="reference"> Daley, R. 1991. Atmospheric Data Analysis. 98&ndash;184. </div><br/> </div></td></tr>
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Unknown user
https://glossary.ametsoc.org/w/index.php?title=Optimum_interpolation&diff=9390&oldid=prev
Unknown user: Created page with " {{TermHeader}} {{TermSearch}} <div class="termentry"> <div class="term"> == optimum interpolation == </div> <div class="definition"><div class="short_definition">Commo..."
2012-01-27T01:38:10Z
<p>Created page with " {{TermHeader}} {{TermSearch}} <div class="termentry"> <div class="term"> == optimum interpolation == </div> <div class="definition"><div class="short_definition">Commo..."</p>
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== optimum interpolation ==<br />
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<div class="definition"><div class="short_definition">Commonly known as OI, this procedure provides an estimate of the state of the [[atmosphere]] by a weighted least squares fit to observations and a [[background field]], usually provided by a [[NWP]] model forecast.</div><br/> <div class="paragraph">The weights are the inverse of the [[error]] covariance matrices for the observations and the background field. The word &ldquo;optimum&rdquo; is misleading, because in practice it is difficult to define the error covariances accurately. A more appropriate term is &ldquo;statistical interpolation.&rdquo;</div><br/> </div><div class="reference"> Daley, R. 1991. Atmospheric Data Analysis. 98&ndash;184. </div><br/> <br />
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Unknown user