[ncl-talk] need help to understand how to change the scales in a spectrum plot

Rick Brownrigg brownrig at ucar.edu
Wed Dec 7 07:44:57 MST 2016


Hi Ruksana,

I'm not entirely sure what the issue is, but by my reading of the docs on
the function specx_anal(), it returns a variable with certain attributes
attached, one of which is an array named "spcx". Thus, I think all your
references such as:

spec0 at spcx0
spec1 at spcx1
spec2 at spcx2

should be:

spec0 at spcx
spec1 at spcx
spec2 at spcx

There are a number of such references -- I would think there would have
been other warnings/errors elsewhere in your script (?)

Hope that helps...
Rick


On Wed, Dec 7, 2016 at 5:36 AM, Ruksana Abedin <ruksana.abedin at gmail.com>
wrote:

> Dear Adam,
>
> Thank you very much for suggesting about the way to have three spectrums
> in one plot. I have tried the following script but getting error.
>
> ;*********************************
> ;
> ;**********************************
> load "/usr/share/ncarg/nclscripts/csm/gsn_code.ncl"
> load "/usr/share/ncarg/nclscripts/csm/gsn_csm.ncl"
> load "/usr/share/ncarg/nclscripts/csm/contributed.ncl"
> load "/usr/share/ncarg/nclscripts/csm/shea_util.ncl"
> load "/usr/share/ncarg/nclscripts/csm/popRemap.ncl"
> load "/usr/share/ncarg/nclscripts/contrib/calendar_decode2.ncl"
> ;************************************************
> begin
> ;*****************************************************
> ;read in data
> ;*****************************************************
> f0 = addfile ("/../1WAH_daily_precip_b387clim_Bangladesh_100_1988_
> 2007_land_only.nc", "r");
> f1 = addfile("/.../APHRO_1988_2007_correct_daily_precip.nc", "r")
> f2 = addfile("/.../GPCC_1988_2007_correct_daily_precip.nc","r")
> ;*****************************************************
> ; parameters
> ;*****************************************************
> PPT_mod = f0->precip(:,0,:,:)
> PPT_mod = PPT_mod*60*60*24
> PPT_obs1 = f1->precip
> PPT_obs2 = f2->precip
> fldmean0 = wgt_areaave_Wrap(PPT_mod,1.0,1.0,1)
> fldmean1 = wgt_areaave_Wrap(PPT_obs1,1.0,1.0,1)
> fldmean2= wgt_areaave_Wrap(PPT_obs2,1.0,1.0,1)
> ;printVarSummary(time)
> printVarSummary(PPT_mod)
> printVarSummary(PPT_obs1)
> printVarSummary(PPT_obs2)
> ;************************************************
> ; set function arguments
> ;************************************************
> ; detrending opt: 0=>remove mean 1=>remove mean and detrend
>   d = 0
> ; smoothing periodogram: (0 <= sm <= ??.) should be at least 3 and odd
>   sm = 7
> ; percent tapered: (0.0 <= pct <= 1.0) 0.10 common.
>   pct = 0.10
> ;************************************************
> ; calculate spectrum
> ;************************************************
>   spec0 = specx_anal(fldmean0,d,sm,pct)
>   spec1 = specx_anal(fldmean1,d,sm,pct)
>   spec2 = specx_anal(fldmean2,d,sm,pct)
> ;************************************************
> ; calculate confidence interval [here 5 and 95%]
> ; return 4 curves to be plotted
> ;************************************************
>   splt0 = specx_ci (spec0, 0.05, 0.95)
>   splt1 = specx_ci (spec1, 0.05, 0.95)
>   splt2 = specx_ci (spec2, 0.05, 0.95)
> ;************************************************
> ;************************************************
> ; plotting
> ;************************************************
>    wks  = gsn_open_wks("eps","spec_combined")                ; Opens a
> eps file
>    res = True        ; no plot mods desired
>    res at gsnDraw = False
>    res at gsnFrame = False
>    res at tiMainString = "Precipitation"             ; title
>    res at tiXAxisString = "Frequency (cycles/day)"  ; xaxis
>    res at tiYAxisString = "Variance"                  ; yaxis
>
> ;***********************************************
> ; Generate log plot showing "red noise" confidence bounds
> ; (a) log scaling and (b) the Band Width
> ;***********************************************
>    res at trYLog              = True                 ; log scaling
>    res at trYMinF             = 0.00010                 ; manually set lower
> limit
>    res at trYMaxF             = 350.0                ;   "    upper
>    res at gsnFrame            = False                ; do not advance frame
>
>    xf0   = (/0.75, 0.75+spec0 at bw/)                ; Create band width line
>    ys0   = 0.75*max(spec0 at spcx0)                   ; 75% up Y axis
>    yv0   = (/ys0,ys0/)
>    respl  = True                                  ; resources for polyline
>    respl at gsLineThicknessF  = 2                    ; Define line thickness
>
>    txres= True                                  ; label BW line
>    txres at txFontHeightF = 0.015                  ; font height
>    txres at txJust        = "CenterLeft"           ; Set lable location
>    gsn_text(wks,plot,"BW",0.41+spec0 at bw,ys0,txres); Label
>
>    xf1   = (/0.75, 0.75+spec1 at bw/)                ; Create band width line
>    ys1   = 0.75*max(spec1 at spcx1)                   ; 75% up Y axis
>    yv1   = (/ys1,ys1/)
>    respl  = True                                  ; resources for polyline
>    respl at gsLineThicknessF  = 2                    ; Define line thickness
>
>    txres= True                                  ; label BW line
>    txres at txFontHeightF = 0.015                  ; font height
>    txres at txJust        = "CenterLeft"           ; Set lable location
>    gsn_text(wks,plot,"BW",0.41+spec1 at bw,ys1,txres); Label
>
>    xf2   = (/0.75, 0.75+spec2 at bw/)                ; Create band width line
>    ys2   = 0.75*max(spec2 at spcx2)                   ; 75% up Y axis
>    yv2   = (/ys2,ys2/)
>    respl  = True                                  ; resources for polyline
>    respl at gsLineThicknessF  = 2                    ; Define line thickness
>
>    txres= True                                  ; label BW line
>    txres at txFontHeightF = 0.015                  ; font height
>    txres at txJust        = "CenterLeft"           ; Set lable location
>    gsn_text(wks,plot,"BW",0.41+spec2 at bw,ys2,txres); Label
>
> res at gsnDraw = False
> res at gsnFrame = False
> res at xyLineColor = "black"
> plot0 = gsn_csm_xy(wks,spec0 at frq,spec0 at spcx0,res)     ; create plot
> gsn_polyline(wks,plot,xf0,yv0,respl)             ; Draw BandWidth
> res at xyLineColor = "blue"
> plot1 = gsn_csm_xy(wks,spec1 at frq,spec1 at spcx1,res)     ; create plot
> gsn_polyline(wks,plot,xf1,yv1,respl)             ; Draw BandWidth
> res at xyLineColor = "red"
> plot2 = gsn_csm_xy(wks,spec2 at frq,spec2 at spcx2,res)     ; create plot
> gsn_polyline(wks,plot,xf2,yv2,respl)             ; Draw BandWidth
> overlay(plot0,plot1)
> overlay(plot0,plot2)
> draw(plot)
> frame(wks)
>
>
> *fatal:syntax error: line 121 in file spectrum.ncl before or near plot0 =
> gsn_csm_xy(wks,spec0 at frq,spec0 at spcx0,res)*
>
> *Can you please help me to identify where my mistake is?*
>
> *Best regards,*
> *Ruksana*
>
>
>
> On Mon, Dec 5, 2016 at 7:16 PM, Adam Phillips <asphilli at ucar.edu> wrote:
>
>> Hi Ruksana,
>> If all you want is 3 different spectra overlaid on the same plot you
>> could use the overlay procedure. You will need to tell NCL to not draw the
>> plot nor advance the frame before creating the 3 spectra. You may also need
>> to set trYMaxF if portions of one spectra go off the plot.
>>
>> Here's an example:
>> res at gsnDraw = False
>> res at gsnFrame = False
>> res at xyLineColor = "green"
>> plot=gsn_csm_xy(wks,spec at frq,spec at spcx,res)     ; create plot
>> res at xyLineColor = "black"
>> plot2 = gsn_csm_xy(wks,spec2 at frq,spec2 at spcx,res)     ; create plot
>> res at xyLineColor = "blue"
>> plot3 = gsn_csm_xy(wks,spec3 at frq,spec3 at spcx,res)     ; create plot
>> overlay(plot,plot2)
>> overlay(plot,plot3)
>> draw(plot)
>> frame(wks)
>>
>> Hope that helps. If not, please respond to the ncl-talk email list.
>> Adam
>>
>> On Mon, Dec 5, 2016 at 12:09 PM, Ruksana Abedin <ruksana.abedin at gmail.com
>> > wrote:
>>
>>> Hi,
>>>
>>> I could figure the required process out. This time followed the example
>>> 4 at http://www.ncl.ucar.edu/Applications/Scripts/spec_4.ncl. However,
>>> I would still like to know how can I plot three spectrums of three colours
>>> in one single plot. Your help is always useful.
>>>
>>> Thank you for putting up wonderful resources.
>>>
>>> Best regards,
>>> Ruksana
>>>
>>> On Mon, Dec 5, 2016 at 5:30 PM, Ruksana Abedin <ruksana.abedin at gmail.com
>>> > wrote:
>>>
>>>> Hi,
>>>>
>>>>
>>>>
>>>> I have followed the http://www.ncl.ucar.edu/Applic
>>>> ations/Scripts/spec_1.ncl script to plot a spectrum for my data but
>>>> the specs are very difficult to visualize clearly in the plot. Data is
>>>> daily precipitation from model and two observations for 1988-2007.
>>>>
>>>>
>>>> 1. How to change the x and y axis scales to make it more visible.
>>>>
>>>> 2. Can I have the cycles per day instead of months? How to change this
>>>> aspect?
>>>>
>>>> 3. Can I plot three spectrums for three different files in a panel
>>>> together?
>>>>
>>>>
>>>> The variable summary, script and the resultant plot are attached. Your
>>>> time and efforts to help me out is highly appreciated.
>>>>
>>>>
>>>>
>>>> Variable: PPT_mod
>>>> Type: float
>>>> Total Size: 25056000 bytes
>>>>             6264000 values
>>>> Number of Dimensions: 3
>>>> Dimensions and sizes:   [time | 7200] x [lat | 30] x [lon | 29]
>>>> Coordinates:
>>>>             time: [52950.5..60149.5]
>>>>             lat: [15.25..29.75]
>>>>             lon: [  83..  97]
>>>> Number Of Attributes: 10
>>>>   z1 :   0
>>>>   standard_name :       precipitation_flux
>>>>   long_name :   TOTAL PRECIPITATION RATE KG/M2/S
>>>>   units :       kg m-2 s-1
>>>>   _FillValue :  1e+20
>>>>   missing_value :       1e+20
>>>>   stash_item :  216
>>>>   stash_section :       5
>>>>   field_code :  90
>>>>   cell_method : time: mean
>>>>
>>>> Variable: PPT_obs1
>>>> Type: float
>>>> Total Size: 25056000 bytes
>>>>             6264000 values
>>>> Number of Dimensions: 3
>>>> Dimensions and sizes:   [time | 7200] x [lat | 30] x [lon | 29]
>>>> Coordinates:
>>>>             time: [19880101.5..20071230.5]
>>>>             lat: [15.25..29.75]
>>>>             lon: [  83..  97]
>>>> Number Of Attributes: 5
>>>>   long_name :   daily precipitation analysis interpolated onto 0.5deg
>>>> grids [mm/day]
>>>>   units :       mm/day
>>>>   _FillValue :  -99.9
>>>>   missing_value :       -99.9
>>>>   level_description :   Earth surface
>>>>
>>>> Variable: PPT_obs2
>>>> Type: float
>>>> Total Size: 25056000 bytes
>>>>             6264000 values
>>>> Number of Dimensions: 3
>>>> Dimensions and sizes:   [time | 7200] x [lat | 30] x [lon | 29]
>>>> Coordinates:
>>>>             time: [19880101.5..20071230.5]
>>>>             lat: [15.25..29.75]
>>>>             lon: [  83..  97]
>>>> Number Of Attributes: 5
>>>>   long_name :   full data daily product version 1 precipitation per grid
>>>>   units :       mm/day
>>>>   code :        20
>>>>   _FillValue :  -99999.99
>>>>   missing_value :       -99999.99
>>>>
>>>>
>>>>
>>>> ;************************************************
>>>> begin
>>>> ;*****************************************************
>>>> ;read in data
>>>> ;*****************************************************
>>>> f0 = addfile ("/../1WAH_daily_precip_b387clim_Bangladesh_100_1988_
>>>> 2007_land_only.nc", "r");
>>>> f1 = addfile("/../APHRO_1988_2007_correct_daily_precip.nc", "r")
>>>> f2 = addfile("/../GPCC_1988_2007_correct_daily_precip.nc","r")
>>>>
>>>> ;*****************************************************
>>>> ; parameters
>>>> ;*****************************************************
>>>>
>>>> PPT_mod = f0->precip(:,0,:,:)
>>>> PPT_mod = PPT_mod*60*60*24
>>>> PPT_obs1 = f1->precip
>>>> PPT_obs2 = f2->precip
>>>>
>>>> fldmean0 = wgt_areaave_Wrap(PPT_mod,1.0,1.0,1)
>>>> fldmean1 = wgt_areaave_Wrap(PPT_obs1,1.0,1.0,1)
>>>> fldmean2= wgt_areaave_Wrap(PPT_obs2,1.0,1.0,1)
>>>>
>>>> ;printVarSummary(time)
>>>>
>>>> printVarSummary(PPT_mod)
>>>> printVarSummary(PPT_obs1)
>>>> printVarSummary(PPT_obs2)
>>>>
>>>> ;************************************************
>>>> ; set function arguments
>>>> ;************************************************
>>>> ; detrending opt: 0=>remove mean 1=>remove mean and detrend
>>>>   d = 0
>>>> ; smoothing periodogram: (0 <= sm <= ??.) should be at least 3 and odd
>>>>   sm = 7
>>>> ; percent tapered: (0.0 <= pct <= 1.0) 0.10 common.
>>>>   pct = 0.10
>>>> ;************************************************
>>>> ; calculate spectrum
>>>> ;************************************************
>>>>   spec = specx_anal(fldmean2,d,sm,pct)
>>>> ;************************************************
>>>> ; plotting
>>>> ;************************************************
>>>>    wks  = gsn_open_wks("eps","spec")                ; Opens a eps file
>>>>
>>>>    res = True                       ; no plot mods desired
>>>>    res at tiMainString = "Precipitation"                   ; title
>>>>    res at tiXAxisString = "Frequency (cycles/month)"  ; xaxis
>>>>    res at tiYAxisString = "Variance"                  ; yaxis
>>>>
>>>>    plot=gsn_csm_xy(wks,spec at frq,spec at spcx,res)     ; create plot
>>>> ;***********************************************
>>>> end
>>>>
>>>>
>>>>
>>>
>>> _______________________________________________
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>>>
>>>
>>
>>
>> --
>> Adam Phillips
>> Associate Scientist,  Climate and Global Dynamics Laboratory, NCAR
>> www.cgd.ucar.edu/staff/asphilli/   303-497-1726
>>
>> <http://www.cgd.ucar.edu/staff/asphilli>
>>
>
>
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