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    <p>Thank you.</p>
    <p>The idea is that SSH variability is computed over the ensemble
      dimension, rather than the traditional time-dimension- i.e
      computing EOF across individual ensemble member at each time step
      with looping, in which case the below would not make sense .i.e
      averaging the ensemble dimension?</p>
    <p class="">Perhaps i should perform the EOF on both the time and
      ensemble dimension as variations across time and ensemble are
      supposed to be the same after detrending, the more samples the
      more robust the EOF is?<br>
    </p>
    <p class="">Best</p>
    <p class="">Sri</p>
    <p class=""><br>
    </p>
    <div class="moz-cite-prefix">On 21.05.20 05:09, Dennis Shea wrote:<br>
    </div>
    <blockquote type="cite"
cite="mid:CAOF1d_4fk_f_AG_in010AJuXPFxwDkVJ_wvhobb+Jhw9tGc0Uw@mail.gmail.com">
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        <div>At each time stelp,and lat/lon location all 100 ensembel 
          members</div>
        <div> <br>
        </div>
        <div><br>
        </div>
        <div>ssh_ens_mean = <a
href="http://www.ncl.ucar.edu/Document/Functions/Contributed/dim_avg_n_Wrap.shtml"
            moz-do-not-send="true"><b>dim_avg_n_Wrap</b></a>(ssh,1)  ;
          average <br>
        </div>
        <div> printVarSummary(ssh_ens_mean)</div>
        <div> printMinMax(ssh_ens_mean,0)</div>
        <div><br>
        </div>
        <div>--</div>
        <div>Input  'ssh_ens_mean'  as you would any other variable   to
          the eof function<br>
        </div>
         </div>
      <br>
      <div class="gmail_quote">
        <div dir="ltr" class="gmail_attr">On Wed, May 20, 2020 at 7:29
          AM Sri nandini via ncl-talk <<a
            href="mailto:ncl-talk@ucar.edu" moz-do-not-send="true">ncl-talk@ucar.edu</a>>
          wrote:<br>
        </div>
        <blockquote class="gmail_quote" style="margin:0px 0px 0px
          0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Hello
          dear fellow ncl users,<br>
          <br>
          I have been analyzing and plotting the standard EOF with
          success. Now i <br>
          wish to proceed onto model ensemble EOF but having problems <br>
          understanding this coding.<br>
          <br>
          My original data is in this format: SSH=   [time | 240] x [ens
          | 100] x <br>
          [lat | 45] x [lon | 90]<br>
          How can i modify the standard EOF script on the NCL page to
          perform it <br>
          on model ensemble of 100 members?e.g through looping it?<br>
          <br>
          Would be grateful for an example.<br>
          <br>
          best<br>
          <br>
          sri<br>
          <br>
          <br>
          <br>
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