Re: Taylor diagram | timeseries smoothing

[2] There is no lowess filter built into in NCL.
     Most commonly a weighted running average is used.

[1] For Taylor diagrams
     ( http://www.ncl.ucar.edu/Applications/taylor.shtml )
      you need:

     (a) (centered) pattern correlations (also called cross correlations)
http://www.ncl.ucar.edu/Document/Functions/Contributed/pattern_cor.shtml

     (b) ratios of areally weighted variances

     (c) % bias. This is an extion to the classic Taylor diagram.
         See Example 8.

A sample processing script is Example 7. Note: this was written before
the 'pattern_cor. The section on computing areally weight variances

              wgt = conform(vcntl, wt , rank-2)
            ;;wgt = mask(wgt, lsflag.eq.0, False) ; if desired
            ;;wgt = mask(wgt, lsflag.eq.1, False)

                                          ; temporary variables
              sumw = sum(wgt)
              sumwc = sum(wgt*vcntl)
              sumwt = sum(wgt*vtest)
                                          ; wgted areal mean
              wmean_cntl = sumwc/sumw
              wmean_test = sumwt/sumw
                                          ; wgted areal variance
              wvar_cntl = sum(wgt*(vcntl-wmean_cntl)^2)/sumw
              wvar_test = sum(wgt*(vtest-wmean_test)^2)/sumw

          ratio(nc,nv) = (wvar_test/wvar_cntl)^0.5

Good luck

On 6/29/12 1:57 PM, Noel Aloysius wrote:
> Hi NCL,
>
> I would like to hear your suggestions/directions on the following,
>
> 1) I want to create a Taylor diagram comparing GCM performance (10 GCMs)
> of three variables at three time intervals - early, mid and late 20th
> century. Are there NCL examples that guide one through the input
> preparation for Taylor diagram?
>
> 2) Is there an equivalent of lowess filter type function in NCL for
> monthly time series smoothing.
>
> Thanks,
> Noel
>
>
>
>
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Received on Fri Jun 29 14:17:08 2012