<!--Copyright (C) 1988-2005 by the Institute of Global Environment and Society (IGES). See file COPYRIGHT for more information.--> <html> <head> <title>GrADS Function: tcorr</title> </head> <body bgcolor="e0f0ff" text="#000000"> <h2><b>tcorr()</b></h2> <p> <code>tcorr (<i>expr1, expr2, tdim1, tdim2</i>)</code> <p> This function produces a spatial map of temporal correlation coefficients. <p> <ul> <code><i>expr1</i> </code>- a valid GrADS expression that varies in time<br> <code><i>expr2</i> </code>- a valid GrADS expression that varies in time and may also vary in X and Y<br> <code><i>tdim1</i> </code>- starting time dimension expression <br> <code><i>tdim2</i> </code>- ending time dimension expression <br> </ul> <p> The <code><i>expr1</i></code> time series is correlated to the time series at each grid point in <code><i>expr2</i></code>. The result is a grid of correlation coefficients that matches the X and Y dimensions of <code><i>expr2</i></code>. <p> <h3>Usage Notes</h3> <ol> <li>If both <code><i>expr1</i></code> and <code><i>expr2</i></code> vary only in time, the output is a single value. <p> <li>Use the <a href="gradfuncscorr.html"><code>scorr</code></a> function to do correlation over the spatial domain. </ol> <p> <h3>Example</h3> <ol> <li> This example calculates the temporal correlation between sea level pressure and the defined variable elnino, an areal average of surface temperature in the equatorial Pacific. <p> <pre> set x 1 set y 1 set z 1 set t 1 100 define elnino = aave(ts,lon=-160,lon=-80,lat=-10,lat=10) set lon -180 180 set lat -90 90 set z 1 set t 1 d tcorr(elnino, slp, t=1, t=100) </pre> </ol> </body> </html>
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