[ncl-talk] Fwd: Taylor diagram
Dennis Shea
shea at ucar.edu
Thu Jul 6 12:19:36 MDT 2017
---------- Forwarded message ----------
From: Sri Nandini <snandini at marum.de>
Date: Thu, Jul 6, 2017 at 6:17 AM
Subject: Re: [ncl-talk] Taylor diagram
To: shea at ucar.edu
Sorry for the late reply.
Yes it got resolved.
Attached is my script with my output plot.
It for global scale, i just have to specify my regions next to apply this
to the Caspian.
Thank you.
On Tue, Jun 6, 2017 at 8:05 AM, Sri Nandini <snandini at marum.de> wrote:
Hello
I am plotting multiple variables in Taylor diagram between model -
observations.
There are no errors but the 3rd variable is not plotting.
I have T2M and precip at same resolution [360 720] but my SLP is [192 288]
Now i have weighted it and performed taylor_stats, but it gives missing
values. Part of my script for the SLP is below:
;===========================================================
================================PSL
f= addfile("SLP_PHIS_Z3cam5.nc", "r") ;
TIME = f->time
YYYY = cd_calendar(TIME,-1)/100 ; entire file
iYYYY = ind(YYYY461.ge.yrStrt .and. YYYY461.le.yrLast)
slpp = f->PSL(iYYYY,:,:)
printVarSummary(slpp) ; (time, lat,lon)
pm1 = slpp(:,::-1,:) ; make latitudes
monotonically increasing (NCL syntax)
printVarSummary(pm1) ; (time, lat,lon)
slp = lonFlip( slpp )
s3w=month_to_annual(slp,1)
s3Clm = dim_avg_n_Wrap( s3w, 0)
printVarSummary(s3Clm) ; (lat,lon)
printMinMax(s3Clm, 0)
;===========================================================
========================
f6 = addfile ("slp.mon.mean.nc", "r")
TIME46 = f6->time
YYYY46 = cd_calendar(TIME46,-1)/100 ; entire file
iYYYY46 = ind(YYYY46.ge.yrStrt .and. YYYY46.le.yrLast)
psl = f6->slp(iYYYY46,:,:)
printVarSummary(psl) ; (time, lat,lon)
S3 = linint2_Wrap(psl&lon, psl&lat, psl, True, pm1&lon, pm1&lat, 0)
PSL=month_to_annual(S3,1)
pslClm = dim_avg_n_Wrap( PSL, 0)
printVarSummary(pslClm) ; (lat,lon)
printMinMax(pslClm, 0)
;==================================================================
;Taylor diagram calculations
;===================================================================
case = (/ "CESM CAM5"/)
nCase = dimsizes(case ) ; # of Cases [Cases]
var = (/ "T2M(Wilmott)", "PRECIP(Wilmott)","SLP(NCEP)"/)
nVar = dimsizes(var) ; # of Variables
SEASONS = (/ "ANN" /)
nSeason = dimsizes( SEASONS )
;==================================================================
; create weights: sqrt(cos(lat)) [or sqrt(gw) ]
; =================================================================
rad = 4.*atan(1.)/180.
lat = f->lat
if (typeof(lat).eq."double") then
clat = sqrt( cos(rad*tofloat(lat)) )
else
clat = sqrt( cos(rad*lat) )
end if
copy_VarCoords(lat, clat) ; contributed
printVarSummary(clat)
;==============================Taylorstats=============
stat_taylor = taylor_stats(t4Clm, aClm, clat, 0)
stat_taylor2 = taylor_stats(p3Clm, pClm, clat, 0)
;===============Perform another weighting for the SLP since it is on a
different resolution
rad = 4.*atan(1.)/180.
lat1 = f88->lat
if (typeof(lat1).eq."double") then
clat1 = sqrt( cos(rad*tofloat(lat1)) )
else
clat1 = sqrt( cos(rad*lat1) )
end if
copy_VarCoords(lat1, clat1) ; contributed
printVarSummary(clat1)
w=clat1
stat_taylor3 = taylor_stats(s3Clm, pslClm, w, 0)
print(stat_taylor3)
CA_cc = (/stat_taylor(0), stat_taylor2(0), stat_taylor3(0)/) ; pattern_cor
of t2CLM and of p1CLM and SLP
CA_rat = (/stat_taylor(1), stat_taylor2(1), stat_taylor3(1)/) ; ratio of
t2CLM and of p1CLM and SLP
CA_bias = (/stat_taylor(2), stat_taylor2(2), stat_taylor3(2)/) ; bias of
t2CLM and of p1CLM and SLP
;**********************************
; Put the ratios and pattern correlations into
; arrays for plotting
;**********************************
; arrays to be passed to taylor_diagram. It will calculate the x xnd y
coordinates.
ratio = new ((/nCase, nVar/), typeof(CA_cc) )
cc = new ((/nCase, nVar/), typeof(CA_cc) )
bias = new ((/nCase, nVar/), typeof(CA_cc) )
ratio(0,:) = CA_rat
cc(0,:) = CA_cc
bias(0,:) = CA_bias
print(bias)
print(cc)
print(ratio)
;================================
; PLOTS
;================================
res = True ; default taylor diagram
res at Markers = (/16,16,16/) ; make all solid fill
res at Colors = (/"red","blue","black"/)
res at varLabels = var
res at caseLabels = case
res at varLabelsYloc = 0.6 ; Move location of variable labels
;;[default 0.45]
res at caseLabelsFontHeightF = 0.14 ; make slight larger
[default=0.12 ]
res at varLabelsFontHeightF = 0.011 ; make slight smaller
[default=0.013]
res at stnRad = (/0.5, 1.25 /) ;
res at tiMainString = "Annual Taylor Diagram"
wks = gsn_open_wks("png","TaylorCAM5all") ; send graphics to PNG
file
plot = taylor_diagram_cam(wks,ratio,cc,bias,res)
end
Did i misunderstand and that all variables plotted should be of same
resolution?
Would deeply appreciate
Variable: stat_taylor3
Type: float
Total Size: 12 bytes
3 values
Number of Dimensions: 1
Dimensions and sizes: [3]
Coordinates:
Number Of Attributes: 2
_FillValue : 9.96921e+36
long_name : 0-pattern_cor; 1-ratio; 2-bias (%)
(0) -9.96921e+36
(1) nan
(2) -nan
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