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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri">Kunal<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri">At least one of the data points in the arrays that you are correlating has every single value as ‘missing’ or the same value throughout. This usually occurs if your data includes some masked
regions, e.g. ocean data with a spatial domain that includes land.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri">Another possible valid condition would be precipitation data where one or more data points has been in drought for the entire time period, i.e. P = 0 throughout<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri">If you’re expecting you input data to include masked areas or similar physical conditions then it’s probably nothing to worry about (although that doesn’t mean you shouldn’t check). If
you’re not expecting any missing values in your data then you may have a problem with your input arrays – but that’s not really an NCL problem.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri">Will<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-family:Calibri;color:black">From: </span>
</b><span style="font-family:Calibri;color:black"><ncl-talk-bounces@ucar.edu> on behalf of Kunal Bali <kunal.bali9@gmail.com><br>
<b>Date: </b>Friday, 9 September 2016 at 4:46 PM<br>
<b>To: </b>"ncl-talk@ucar.edu" <ncl-talk@ucar.edu><br>
<b>Subject: </b>[ncl-talk] cross_corr_query<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt">Dear NCL users,<o:p></o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt">I am trying to plot the cross-correlation map. While doing this, I have baeen facing one error
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warning:esccr: Non-fatal conditions encountered: all missing or constant values<o:p></o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt">Could anyone please let me know, how to fix it.
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<o:p></o:p></p>
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<p class="MsoNormal">Regards<o:p></o:p></p>
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<p class="MsoNormal">Kunal Bali<o:p></o:p></p>
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