[gradsusr] smoothing large resolution data

wendi harjupa wendiharjupa at gmail.com
Fri Jan 20 22:11:21 EST 2017 

Dear Mr. Andrew,

Many thanks for your great support,

Below is q dims and q file of my data,

## Data 1 (large scale : 0.1x0.1 deg)

q dims 1
X is varying   Lon = 121.05 to 148.95   X = 1 to 280
Y is varying   Lat = 22.95 to 46.85   Y = 1 to 240
Z is fixed     Lev = 1  Z = 1
T is fixed     Time = 13:05Z08AUG2015  T = 1
E is fixed     Ens = 1  E = 1

q file 1

  Descriptor: Him.ctl
  Binary: /TAKAYASU/wendi/RDCA/rdca_201508080520.dat
  Type = Gridded
  Xsize = 280  Ysize = 240  Zsize = 1  Tsize = 1  Esize = 1
  Number of Variables = 1
     albedo  0  1  reflectivity


## data 2 (small scale : 0.002x0.003 deg)

q dims 2

X is varying   Lon = 134.375 to 136.872   X = 1 to 800
Y is varying   Lat = 33.5833 to 35.5812   Y = 1 to 960
Z is fixed     Lev = 1  Z = 1
T is fixed     Time = 00Z08AUG2015  T = 1
E is fixed     Ens = 1  E = 1

q file 2

  Binary:
/TAKAYASU/wendi/xband/G000.grads/KINKI/20150808_0900-1700/data/KINKI00001-
   20150808-1420-G000-EL000000.bin
  Type = Gridded
  Xsize = 800  Ysize = 960  Zsize = 1  Tsize = 120  Esize = 1
  Number of Variables = 1
     rr  0  98  rairate [mm/hr]

is there any mistakes on that information?

Best regards,
wendi




On Fri, Jan 20, 2017 at 6:25 PM, Andrew Friedman <andfried at gmail.com> wrote:

> Hi Wendi,
> What is your dimension environment?
> Can you post the output of ‘q dims’, ‘q file 1’ and ‘q file 2'
> Andrew
>
> > On Jan 20, 2017, at 1:28 AM, wendi harjupa <wendiharjupa at gmail.com>
> wrote:
> >
> > Dear Mr. Andrew
> >
> > Thank you very much for your explanation,
> > I am still struggling to solve it.
> >
> > Best regards,
> > wendi
> >
> > On Wed, Jan 18, 2017 at 10:16 PM, Andrew Friedman <andfried at gmail.com>
> wrote:
> > 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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