<div dir="ltr"><div><div><div><div><div>[1] Generally, anomalies are input to the EOF function: eofunc <br></div> Otherwise the EOF's will contain the information from the annual cycle. <br><br></div>[2] <br>Covariance is a measure of *magnitude* of variability between two variables. Most commonly, the same variable (say temperature) is observed at stations or grid points. Then the two variables are temperatures at different locations.<br><br>[3] Correlation is a measure of the variability but it has been *scaled* by each variable's local standard deviation.<br><br></div>[4] EOFs are typically calculated using covariance. The correlation matrix is used *patterns* are important.<br><br></div>[5] NCL uses a modified version of the SCRIPPS code at:<br><a href="http://meteora.ucsd.edu/~pierce/eof/eofs.html">http://meteora.ucsd.edu/~pierce/eof/eofs.html</a><br><br></div>Good luck<br></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Apr 28, 2016 at 11:02 AM, Erik J. Schaffernicht <span dir="ltr"><<a href="mailto:eschaffe@uni-koeln.de" target="_blank">eschaffe@uni-koeln.de</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">I like to read how eofunc works. How can I access its source code?<br>
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It is due to that I am not sure if I have preprocessed my data right to enter them into eofunc and I haven't yet fully understood what the covariance versus correlation switch means to my data, concerning the way I have to input it and to the results I got out of the EOF and my data.<br>
If output patterns are different, then I like to interpret them right and understand what I actually get and if that is what I think I get.<br>
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Furthermore, how this switch allows or disallows for what kind of combined data input (SLP with PR) I can process in which way with EOF.<br>
Do I have to normalize or standardize my data input from different variables or can I rely on eofunc of NCL doing it for me properly?<br>
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