[ncl-talk] Interpolation for taylor diagram

[Sri Nandini]

Thank you

So i have cleaned out the commented statements, and the errors i am getting are these:

fatal:linint2: The rightmost dimensions of fi must be nyi x nxi, where nyi and nxi are the lengths of yi and xi respectively


   printVarSummary(t2mw)
Dimensions and sizes:    [time | 100] x [lat | 192] x [lon | 288]

   printVarSummary(airw)
Dimensions and sizes:    [lat | 62] x [lon | 162] x [time | 100]

It stops at the interpolation stage before even coming to the correlation section.   
Basically i am unsure of my interpolation method between observations and model output data.

On Feb 24, 2017 4:28:11 PM, Dennis Shea wrote:

> I started to look at your code. However, it has lots of commented statements and, to me,  it is not clear what is happening. Really, you should send only clean scripts. We like to help but we  don't have the time to > decipher codes.
> 
> The commented
> 
>   ;cor1 = dim_avg_n_Wrap(pattern_cor( t2mw, airw, clat, 0), 0)
> 
> contains 
>    > http://www.ncl.ucar.edu/Document/Functions/Contributed/pattern_cor.shtml
> 
> What is wrong with the following:
> 
>    printVarSummary(t2mw)
>    printVarSummary(airw)

>    pcor = pattern_cor( t2mw, airw, clat, 0)
>    print(pcor)
>   

> 
> 
> >    

> 
> On Thu, Feb 23, 2017 at 9:03 AM, Sri Nandini > <> snandini at marum.de> >>  wrote:
> > Dear NCL community,
> > Greetings!
> > 
> > I am trying to plot seasonal (DJF) Taylor diagrams and have errors in interpolation my datasets on same grid.
> > (a) read 2 data sets with different resolutions and regrid 
(modelled and obs temperature for a test)
> > (b) calculate a pattern correlation

> > 
> > My script is attached below ::
> > 
> > ;=============================> > =====================================
> > ;Taylor diagram calculations
> > ;================================ interpolation onto common grid (of observational data)
> > ;ncl pattern_cor between different size arrays
> >  t2mw = f->t2mw(0,0,:,{0:360}); remove cyclic point
> >   lon = f->lon({0:360})
> > ;************************************************
> > ; interpolate to new grid
> > ;***********************************************
> >   newlat = fspan(-60.,60,24)
> >   newlon = fspan(0.,355.,72)
> > 
> >  newt2mw = linint2_Wrap(lon,t2mw&lat,t2mw,True,newlon,newlat,0)
> >   newt2mw!0   ="lat"
> >   newt2mw!1   = "lon"
> >   newt2mw&lat = newlat
> >   newt2mw&lon = newlon
> > ;=============================> > =========================================centered Pattern correlation (coslat weighting has been done previously above)
> > re=escorc(airw,newt2mw)
> >  ;cor1 = dim_avg_n_Wrap(pattern_cor( t2mw, airw, clat, 0), 0);rc = pattern_cor(x, y,gw, 0)      ; gaussian weighting, centered
> >  mmd= (/cor1/)
> >  printVarSummary(mmd)
> > ;================================Standard deviation ;================================
> > 
> > ;pre0_Std = dim_avg_n_Wrap( dim_stddev_n_Wrap( t2mw, (/1,2/)), 0)
> >  ;std1 = dim_rmsd_Wrap(airw,t2mw, 0);computes rootmean square difference
> > ;std1 = dim_rmsd_n(t2mw, airw, 0);
> >     std1 = dim_rmsd( t2mw(lat|:,lon|:,time|:), airw(lat|:,lon|:,time|:) )    ; ==> rmsdTime(nlat,nlon)
> > 
> >     ;rmsdTime = dim_rmsd_n( x, y, 0 )                                       ; ==> no reordering needed
> > ================================================================
> > I had a look at other interpolation functions for correlations between different grids such a s:
> > 
      Assume > > fi> >  is a 4D array dimensioned > > ntim> >  x
      > > nlvl> >  x > > nlat> >  x > > mlon> >  (> > ntim> > =50,
      > > nlvl> > =30, > > nlat> > =64, > > mlon> > =128), and that
      the
      rightmost dimension is to be treated as cyclic (the user should
      not
      add a cyclic point for the rightmost dimension).> > 
    > > 
      All times and levels will be interpolated and returned in a new
      array
      > > fo> >  dimensioned > > ntim> >  x > > nlvl> >  x > > 73> > 
      x
      > > 144> > :
    > > 
    > >   lon = (0., 2.8125, .... , 357,0125)
  lat = (-87.8638, ... ,87.8638)

  LON = (0., 2.5, ... , 357.5)    ; length 144
  LAT = (-90.,87.5,...90.)        ; length 73

  fo = > > linint2_Wrap> >  (lon,lat,fi, True, LON,LAT, 0)
> > Error: 
> > 
> > Deeply appreciated
> > 

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