[gradsusr] smoothing large resolution data

[Andrew Friedman]

Hi Wendi,

You can check ‘q dims’ to see what your time dimensions are.
 
I recommend going through the website examples for lterp.gs, particularly #3-5 - these show situations that often come up about mismatched dimensions.
As they show, you often need to specify time or dfile, or some combination. Another possibility could be wrapped longitude coordinates.

If none of these steps work, can you post a simplified version of your problem, without the anciallary scripts in your code?

Andrew

> On Jan 18, 2017, at 2:56 AM, wendi harjupa <wendiharjupa at gmail.com> wrote:
> 
> Dear Mr Andrew,
> 
> Many thanks for your response
> 
> There is no specific error, but the is no change of result when I use 
> 'd lterp command'.
> 
> I set my dimension environment as below :
> 
>     'set lat 33.000  36.000'
>     'set lon 134.000  137.000'
> 
> I am little confused how to use the 'd lterp'  function in my script program.
> 
> Would you mind to give me more clue?
> 
> Best regards,
> wendi
> 
> 
> 
> 
> 
> On Wed, Jan 18, 2017 at 5:55 AM, Andrew Friedman <andfried at gmail.com> wrote:
> Hi Wendi,
> What specific error message are you getting?
> A typical problem is that the time axes of the two files have to be the same - you may want to check your dimension environment.
> Andrew
> 
> > On Jan 17, 2017, at 1:53 PM, wendi harjupa <wendiharjupa at gmail.com> wrote:
> >
> > Dear Mr. Andrew and colleagues
> >
> > Please tell me what wrong with this script. It does not work to interpolate the coarse grid to fine grid
> >
> > ##first data/resolution 0.002x0.003 (lat, lon)
> >
> >    'open ./Rain.ctl'
> >    'setXrain.gs'
> >    'setCOMMON.gs'    ! set parameter (lon, lat, parea, grid off, etc)
> > #   'd rr'      ! variable
> >    'xcbar  8.85 9.05 0.8 4 -fw 0.11 -fh 0.15 -edge triangle -fstep 1 -line on -lc 1'
> >    'close 1'
> >
> > ##second data/resolution 0.1x0.1 (lat, lon)
> >
> >      'open ./Him.ctl'
> >     'setCOMMON.gs'
> >     'setHimawari.gs'
> > #    'd albedo'    ! variable
> >     'xcbar 6.3 9 0.23 0.37 -fw 0.11 -fh 0.15 -edge triangle -fs 2 -fo 1 -line on'
> >      'close 1'
> >
> >      'd lterp(rr, albedo.2, aave)'
> >
> > Any help will be very appreciated.
> > Thank you very much.
> >
> > Best regards,
> > wendi
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > On Tue, Jan 17, 2017 at 7:12 PM, wendi harjupa <wendiharjupa at gmail.com> wrote:
> > Dear Mr. Andrew..
> >
> > Many thanks for your valuable information.
> >
> > Best regards,
> > wendi
> >
> > On Tue, Jan 17, 2017 at 6:45 PM, Andrew Friedman <andfried at gmail.com> wrote:
> > Hi Wendi,
> > You can use the function lterp for spatial interpolation: http://cola.gmu.edu/grads/gadoc/gradfunclterp.html
> > -Andrew
> >
> > > On Jan 17, 2017, at 10:29 AM, wendi harjupa <wendiharjupa at gmail.com> wrote:
> > >
> > > Dear All
> > >
> > > I got problem in overlaying two type of data.
> > > As I have attached the plot of data in this email.
> > >
> > > First data is rain data with resolution is about 0.002x0.003 deg (lon ,lat).
> > > The rain data is indicated by rainbow color.
> > > and second data is cloud data with resolution is 0.1x0.1 deg (lon, lat)
> > > The cloud data is indicated by gray color
> > >
> > > The plot looks not good. Is there any tools in grads to smooth the cloud data?
> > > Then, we can interpolate cloud data to become 0.005 or 0.001, and plot data will be more nice.
> > >
> > > Thank you very much for your attention and help.
> > >
> > > Best regards,
> > > wendi
> > >
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