[ncl-talk] stat_despersion

Buzan, Jonathan jbuzan at purdue.edu
Thu Jul 1 00:24:52 MDT 2021


Hello,

You should try 1 grid cell first and print the values and print the stat_dispersion, and double check that you are feeding the array the correct data.

-Jonathan



On Jul 1, 2021, at 5:52 AM, ali mughal via ncl-talk <ncl-talk at mailman.ucar.edu<mailto:ncl-talk at mailman.ucar.edu>> wrote:

Sorry a correction to the above email is that all values in grid_stats, tenthP and nintythP are 0.

On Thu, Jul 1, 2021 at 11:49 AM ali mughal <mughalali655 at gmail.com<mailto:mughalali655 at gmail.com>> wrote:
Dear All

Here is how I have modified the code according to your suggestions. However, I am getting all values in the output of grid_stats.and when I try plotting the tenth percentile I also have a zero value.  I will be extremely grateful for your support.


load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
a=addfile("wrfout","r")
ta_mean_BEM=a->TA_MEAN
ta=ta_mean_BEM(24:719,0,:,:)
ta=ta-273.16
nlat1=ta(0,:,0)
mlon1=ta(0,0,:)


 nlStrt=0
 nlLast=129
 mlStrt=0
 mlLast=210
 nlat=dimsizes(nlat1)
 mlon=dimsizes(mlon1)

 grid_stats = new ((/nlat,mlon,30/), typeof(ta), getFillValue(ta))
    do nl=nlStrt,nlStrt-1
      do ml=mlStrt,mlStrt-1

         grid_stats(nl-nlStrt,ml-mlStrt,:) = stat_dispersion( ta(:,nl,ml), opt)

      end do
   end do

tenthP=grid_stats(:,:,3)

nintythP=grid_stats(:,:,13)


type = "png"
wks = gsn_open_wks(type,"abc")
res =True
opts = res
opts at cnFillOn = True
opts at cnConstFEnableFill           = True
opts at cnConstFLabelBackgroundColor = "transparent"


pltres = True
pltres at NoTitles = True
pltres at gsnMaximize = True
pltres at FramePlot = False
pltres at PanelPlot = True
mpres = True
mpres at mpOutlineBoundarySets    ="NoBoundaries"
contour_lh = wrf_contour(a,wks,tenthP,opts)
delete(opts)

plot = wrf_map_overlays(a,wks,(/contour_lh/),pltres,mpres)
draw(plot)
frame(wks)















On Wed, Jun 30, 2021 at 10:24 PM Dave Allured - NOAA Affiliate <dave.allured at noaa.gov<mailto:dave.allured at noaa.gov>> wrote:
Also, stat_dispersion returns an array of 30 values each time, not a single value.  See function documentation.  So you need to add an extra dimension in the loop calculation, like this:

    grid_stats = new ((/ nlat, mlon, 30 /), typeof(rf), getFillValue(rf))

    do ...
       do ...
         grid_stats(nl-nlStrt,ml-mlStrt,:) = stat_dispersion( rf(:,nl,ml), opt)
      end do
    end do

When the loop is complete, the 10th percentile values will be in grid_stats(:,:,3), which is a 2-D grid that you can plot.  The 90th percentile values will be in grid_stats(:,:,13).  Again, refer to the function documentation for the correct index values to access the desired statistics.


On Wed, Jun 30, 2021 at 5:13 AM Buzan, Jonathan <jbuzan at purdue.edu<mailto:jbuzan at purdue.edu>> wrote:
NCL counts from 0 to n-1, not from 1 to n. So your loop vars need to account for that.

Cheers,
-Jonathan

On Jun 30, 2021, at 1:10 PM, ali mughal via ncl-talk <ncl-talk at mailman.ucar.edu<mailto:ncl-talk at mailman.ucar.edu>> wrote:

Dear community
Thank you very much for your helpful comments.
As an initial test, I was trying to obtain statistics at all grid points before plotting them. I used the following code
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"
a=addfile("wrfout","r")
ta_mean_BEM=a->TA_MEAN
ta=ta_mean_BEM(24:719,0,:,:)
rf=ta-273.16
nlat1=rf(0,:,0)
printVarSummary(nlat)
mlon1=rf(0,0,:)
printVarSummary(mlon)
printVarSummary(rf)
opt=False

     nlStrt=0
     nlLast=129
     mlStrt=0
     mlLast=210
     nlat=dimsizes(nlat1)
     mlon=dimsizes(mlon1)

    grid_stats = new ((/nlat(0),mlon(0)/), typeof(rf), getFillValue(rf))
    printVarSummary(grid_stats)
    do nl=0,nlLast
      do ml=0,mlLast

         grid_stats(nl-nlStrt,ml-mlStrt) = stat_dispersion( rf(:,nl,ml), opt)

      end do
   end do

   copy_VarCoords(rf(:,nlStrt:nlLast,mlStrt:mlLast), grid_stats)
   grid_stats at long_name = "stat_dispersion at individual grid points"
   printVarSummary(grid_stats)

But I obtain the following output from my print statements and the errors

Variable: rf
Type: float
Total Size: 75418560 bytes
            18854640 values
Number of Dimensions: 3
Dimensions and sizes:   [696] x [129] x [210]
Coordinates:

Variable: grid_stats
Type: float
Total Size: 108360 bytes
            27090 values
Number of Dimensions: 2
Dimensions and sizes:   [129] x [210]
Coordinates:
fatal:VarVarWrite: Number of dimensions on left hand side does not match right hand side
fatal:["Execute.c":8578]:Execute: Error occurred at or near line 46 in file var_Test.ncl

fatal:Subscript out of range, error in subscript #1
fatal:An error occurred reading rf
fatal:["Execute.c":8578]:Execute: Error occurred at or near line 51 in file var_Test.ncl

Variable: grid_stats
Type: float
Total Size: 108360 bytes
            27090 values
Number of Dimensions: 2
Dimensions and sizes:   [129] x [210]
Coordinates:
Number Of Attributes: 1
  long_name :   stat_dispersion at individual grid points


On Wed, Jun 30, 2021 at 12:01 AM Dave Allured - NOAA Affiliate <dave.allured at noaa.gov<mailto:dave.allured at noaa.gov>> wrote:
Ali, you do not need to make new code to find the 10th and 90th percentile values.  Just use stat_dispersion directly, and take only the output values that you need.  The function is designed to be used in this way.  There is no significant performance impact from ignoring all the other result values.

You can easily make a spatial map of 10th or 90th percentile values.  Just call stat_dispersion inside a double loop over X and Y dimensions.


On Tue, Jun 29, 2021 at 9:23 AM Buzan, Jonathan via ncl-talk <ncl-talk at mailman.ucar.edu<mailto:ncl-talk at mailman.ucar.edu>> wrote:
Hello,

I’ve used that function a bunch. If you only want 10th and 90th percentile, you’ll want to use:

qsort
Which will sort your data within a single grid cell from lowest to highest.

And then grab the specific lines of code for 10th and 90th percentiles from the stat_dispersion function in:
$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl

If you look at the function, you’ll see that it uses qsort, then goes step by step through calculating all the different applications.

Cheers,
-Jonathan

On Jun 29, 2021, at 5:14 PM, ali mughal via ncl-talk <ncl-talk at mailman.ucar.edu<mailto:ncl-talk at mailman.ucar.edu>> wrote:

Dear NCL community

In the following ncl function

http://www.ncl.ucar.edu/Document/Functions/Contributed/stat_dispersion.shtml

Is it possible to use 10th and 90th percentile values only ?

Also can these values be used to develop a spatial map?

For example if I want to find the 10th and  90th percentile of air temperature within the urban grid cells only.

Can anyone share an example script or point me to any web resource will be appreciated.

Thanks in advance
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