<div dir="ltr"><div class="gmail_default" style="font-size:small">Mira,</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">This is a rather complicated piece of code and it's hard to tell where the problem might be. In the future, please try to provide a cleaner script that shows the problem. Even better, if you can provide a clean script and the data file, then we can run the script here and debug your problem much quicker.</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">Usually when people say that data is not showing up on a map, my first thought is that the lat/lon coordinates are either missing, or out-of-range of the map limits provided.</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">It looks like you do have lat/lon coordinates attached to diff_u and diff_v, so you are probably okay there.</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">Since this is a vector plot, the next thing might be one of your vector resources. I recommend drawing your vector plot with the barest number of resources set, so you can make sure that your data is even valid. </div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default">Try commenting out these resources and see if you get some vectors:</div><div class="gmail_default"><br></div><div class="gmail_default"><span style="font-size:12.8px">vcres@vcRefMagnitudeF = 10.0 ; define vector ref mag</span><br style="font-size:12.8px"><span style="font-size:12.8px">vcres@vcRefLengthF = 0.045 ; define length of vec ref</span><br style="font-size:12.8px"><span style="font-size:12.8px">]vcres@vcMinDistanceF = 0.017</span><br></div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">I don't know which of your vector plots is causing the problem, because I just don't have time to go through your code and follow where "u" and "v" get used in various calculations. But, you should use "printMinMax" on various calculated variables to make sure they look okay.</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">Sometimes a seemingly simple change to your code can cause all missing values to be returned, or values outside of a range you might be expecting.</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">If you continue to have problems that you can't solve, then please email ncl-talk again, but include a cleaner script, and the data file if you can. </div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small">--Mary</div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small"><br></div><div class="gmail_default" style="font-size:small"><span style="font-size:12.8px"><br></span></div><div class="gmail_default" style="font-size:small"><span style="font-size:12.8px"><br></span></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Dec 2, 2015 at 8:13 PM, <span dir="ltr"><<a href="mailto:mberdahl@envsci.rutgers.edu" target="_blank">mberdahl@envsci.rutgers.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi all,<br>
<br>
I have a strange problem where I have a working script and plot with<br>
vectors overlaid on a filled contour. However, when I make a slight<br>
change to how I calculate u and v (I average over levels instead of just<br>
choosing a single level), the vectors won't plot. Below I have the<br>
dysfunctional script where I've commented the section where I just use u<br>
and v at 500mb, and attempt to calculate the average of the u and v over<br>
the troposphere (1000 - 200 mb). I'll also copy the variable summaries<br>
below.<br>
Any help is appreciated.<br>
Thanks,<br>
Mira<br>
<br>
<br>
<br>
My script is:<br>
<br>
<br>
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_code.ncl"<br>
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/gsn_csm.ncl"<br>
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"<br>
load "$NCARG_ROOT/lib/ncarg/nclscripts/csm/shea_util.ncl"<br>
;************************************************<br>
begin<br>
;************************************************<br>
; read in netCDF file s<br>
;************************************************<br>
a = addfile("<a href="http://uwnd.mon.mean.alllevels.nc" rel="noreferrer" target="_blank">uwnd.mon.mean.alllevels.nc</a>","r") ; u winds<br>
b = addfile("<a href="http://vwnd.mon.mean.alllevels.nc" rel="noreferrer" target="_blank">vwnd.mon.mean.alllevels.nc</a>","r") ; v winds<br>
<br>
c = addfile("../PrecipitableWater/<a href="http://pr_wtr.eatm.mon.mean.nc" rel="noreferrer" target="_blank">pr_wtr.eatm.mon.mean.nc</a>","r") ;<br>
precipitable water content<br>
<br>
;************************************************<br>
; read in pwonal [u] and meridional [v] winds (July)<br>
;************************************************<br>
<br>
;;;;;; If I just want one level<br>
;u = a->uwnd(0:803,{500},{45:90},{270:357.5})<br>
;v = b->vwnd(0:803,{500},{45:90},{270:357.5}) ; Get u, v, time (1),level<br>
(1000hpa),latitude(-90:90) and lonitude(0:360) data.<br>
<br>
;; If I want an average of the levels in the troposphere for instance.<br>
u_trop = a->uwnd(0:803,{1000:200},{45:90},{270:357.5})<br>
v_trop = b->vwnd(0:803,{1000:200},{45:90},{270:357.5}) ; Get u, v, time<br>
(1),level (1000 to 200 hpa),latitude(-90:90) and lonitude(0:360) data.<br>
u = dim_avg_n(u_trop,1) ;==> take the average over levels 200mb - 1000mb<br>
(troposphere)<br>
v = dim_avg_n(v_trop,1) ;==> take the average over levels 200mb - 1000mb<br>
(troposphere)<br>
;; name the dimensions<br>
u!0 = "time"<br>
u!1 = "lat"<br>
u!2 = "lon"<br>
v!0 = "time"<br>
v!1 = "lat"<br>
v!2 = "lon"<br>
<br>
pw = c->pr_wtr(0:803,{45:90},{270:357.5}) ; get precipitable water content<br>
<br>
<br>
printVarSummary(u)<br>
printVarSummary(v)<br>
printVarSummary(pw)<br>
<br>
; Calculate the seasonal averages.<br>
uDJF = month_to_season(u, "DJF")<br>
vDJF = month_to_season(v, "DJF")<br>
pwDJF = month_to_season(pw, "DJF")<br>
<br>
printVarSummary(uDJF)<br>
printVarSummary(vDJF)<br>
printVarSummary(pwDJF)<br>
<br>
; from the matlab script i wrote: findExtremeYrs, i pulled out the extreme<br>
years (> or < 1std) that i want to average and plot here.<br>
<br>
<br>
;ans = 7 (longitude of IL)<br>
;yearList_hi =1966 1967 1968 1969 1974<br>
1975 1983 1994 1995 2005<br>
;yearList_lo =1963 1964 1985 1987 1991<br>
1992 1996 2002 2003 2006 2009<br>
<br>
<br>
; this data starts at 1948 (this is index 0), so 1953=5, 1963=15 etc.<br>
<br>
<br>
uDJF_lon_hi = uDJF((/18,19,20,21,26,27,35,46,47,57/),:,:)<br>
uDJF_lon_lo = uDJF((/15,16,37,38,42,43,47,53,54,57,60/),:,:)<br>
<br>
vDJF_lon_hi = vDJF((/18,19,20,21,26,27,35,46,47,57/),:,:)<br>
vDJF_lon_lo = vDJF((/15,16,37,38,42,43,47,53,54,57,60/),:,:)<br>
<br>
pwDJF_lon_hi = pwDJF((/18,19,20,21,26,27,35,46,47,57/),:,:)<br>
pwDJF_lon_lo = pwDJF((/15,16,37,38,42,43,47,53,54,57,60/),:,:)<br>
<br>
<br>
uAvgTime_hi = dim_avg_n_Wrap(uDJF_lon_hi,0)<br>
uAvgTime_lo = dim_avg_n_Wrap(uDJF_lon_lo,0)<br>
<br>
printVarSummary(uAvgTime_hi)<br>
printVarSummary(uAvgTime_lo)<br>
<br>
vAvgTime_hi = dim_avg_n_Wrap(vDJF_lon_hi,0)<br>
vAvgTime_lo = dim_avg_n_Wrap(vDJF_lon_lo,0)<br>
<br>
printVarSummary(vAvgTime_hi)<br>
printVarSummary(vAvgTime_lo)<br>
<br>
pwAvgTime_hi = dim_avg_n_Wrap(pwDJF_lon_hi,0)<br>
pwAvgTime_lo = dim_avg_n_Wrap(pwDJF_lon_lo,0)<br>
<br>
printVarSummary(pwAvgTime_hi)<br>
printVarSummary(pwAvgTime_lo)<br>
<br>
; dirty way to copy metadata over first.<br>
diff_u = uAvgTime_hi;<br>
diff_v = vAvgTime_hi;<br>
diff_pw = pwAvgTime_hi;<br>
<br>
diff_u = uAvgTime_lo - uAvgTime_hi<br>
diff_v = vAvgTime_lo - vAvgTime_hi<br>
diff_pw = pwAvgTime_lo - pwAvgTime_hi<br>
<br>
printVarSummary(diff_u)<br>
printVarSummary(diff_v)<br>
printVarSummary(diff_pw)<br>
<br>
;************************************************<br>
; create plot<br>
;************************************************<br>
wks = gsn_open_wks("eps","Panel_lon_pw_500") ; open a ps file<br>
gsn_define_colormap(wks,"temp1")<br>
<br>
plot = new(3,graphic) ; create a plot array<br>
<br>
;---- set common resources for all plots<br>
res = True<br>
res@gsnDraw = False ; dont draw<br>
res@gsnFrame = False ; dont advance frame<br>
res@cnInfoLabelOn = False ; trn off cn info label<br>
res@gsnAddCyclic = False ; has to do with wrapping the lonitude at 0/360<br>
res@cnFillPalette = "matlab_jet"<br>
;************************************************<br>
; Choose a subregion<br>
;************************************************<br>
res@mpMaxLatF = 90 ;maximum latitude<br>
res@mpMinLatF = 45 ;minimum latitude<br>
;res@mpMaxLonF = 357.5 ; ;maximum lonitude<br>
;res@mpMinLonF = 270 ;minimum lonitude<br>
res@mpMaxLonF = 0<br>
res@mpMinLonF = -90<br>
;res@mpFillBoundarySets = AllBoundaries<br>
res@mpOutlineBoundarySets = "National"<br>
res@mpOutlineOn = True<br>
res@mpOutlineDrawOrder = "PostDraw"<br>
<br>
mpid = gsn_csm_map(wks,res)<br>
mpid2 = gsn_csm_map(wks,res)<br>
mpid3 = gsn_csm_map(wks,res)<br>
<br>
;***********************************************<br>
; ----wind vector plot<br>
;***********************************************<br>
vcres = res<br>
vcres@vcRefAnnoOrthogonalPosF = -1.0 ; move ref vector up<br>
vcres@vcRefMagnitudeF = 10.0 ; define vector ref mag<br>
vcres@vcRefLengthF = 0.045 ; define length of vec ref<br>
vcres@vcGlyphStyle = "CurlyVector" ; turn on curly vectors<br>
vcres@vcMinDistanceF = 0.017<br>
vcres@mpFillOn = False ; turn off gray fill<br>
vcres@mpOutlineBoundarySets = "National" ; turn on country boundaries<br>
;vcres@mpFillBoundarySets = AllBoundaries<br>
vcres@mpGeophysicalLineColor = "Navy" ; color of cont. outlines<br>
vcres@mpGeophysicalLineThicknessF = 1.5 ; thickness of outlines<br>
vcres@gsnRightString = "" ; turn off thue units string<br>
<br>
;vcres@gsnLeftString = "DJF High lon"<br>
; was previously winds_hi =<br>
gsn_csm_vector_map_ce(wks,uAvgTime_hi,vAvgTime_hi,vcres)<br>
winds_hi = gsn_csm_vector(wks,uAvgTime_hi,vAvgTime_hi,vcres)<br>
;vcres@gsnLeftString = "DJF Low lon"<br>
winds_lo = gsn_csm_vector(wks,uAvgTime_lo,vAvgTime_lo,vcres)<br>
;vcres@gsnLeftString = "Difference of High - Low"<br>
winds_diff = gsn_csm_vector(wks, diff_u, diff_v,vcres)<br>
;************************************************<br>
;---- geopotential height filled contour plot<br>
;***********************************************<br>
pwfres = res<br>
pwfres@cnFillOn = True<br>
;pwfres@cnLevelSelectionMode = "ExplicitLevels<br>
;pwfres@cnLevels = ispan(-20,90,5)<br>
pwfres@lbLabelFontHeightF = 0.015<br>
pwfres@lbOrientation = "Vertical"<br>
pwfres@pmLabelBarOrthogonalPosF = -0.005<br>
pwfres@cnFillPalette = "BlWhRe"<br>
pwfres@cnLinesOn = False ; turn off contour lines<br>
pwfres@cnLevelSelectionMode = "ManualLevels" ;set manual contour levels<br>
pwfres@cnMinLevelValF =0. ; set min contour level<br>
pwfres@cnMaxLevelValF = 20. ; set max contour level<br>
pwfres@cnLevelSpacingF = 2 ; set contour spacing<br>
<br>
contour_pwf_hi = gsn_csm_contour(wks,pwAvgTime_hi,pwfres)<br>
contour_pwf_lo = gsn_csm_contour(wks,pwAvgTime_lo,pwfres)<br>
<br>
<br>
plot(0) = gsn_csm_contour(wks,pwAvgTime_hi,pwfres)<br>
plot(1) = gsn_csm_contour(wks,pwAvgTime_lo,pwfres)<br>
<br>
delete(pwfres@cnLevelSpacingF) ;<== delete resource before resetting<br>
pwfres@cnLevelSelectionMode = "AutomaticLevels" ; set back to automatic<br>
levels for third panel.<br>
<br>
contour_pwf_diff = gsn_csm_contour(wks,diff_pw,pwfres)<br>
plot(2) = gsn_csm_contour(wks,diff_pw,pwfres)<br>
<br>
;overlay(plot(0),winds_hi)<br>
overlay(mpid,plot(0))<br>
overlay(mpid,winds_hi)<br>
<br>
;overlay(plot(1),winds_lo)<br>
overlay(mpid2,plot(1))<br>
overlay(mpid2,winds_lo)<br>
<br>
;overlay(plot(2),winds_diff)<br>
overlay(mpid3,plot(2))<br>
overlay(mpid3,winds_diff)<br>
<br>
;draw(mpid)<br>
;frame(wks)<br>
<br>
;************************************************<br>
; create panel<br>
;************************************************<br>
resP = True ; modify the panel plot<br>
resP@txString = "lon 500mb"<br>
gsn_panel(wks,(/mpid,mpid2,mpid3/),(/3,1/),resP) ; now draw as one plot;<br>
<br>
<br>
end<br>
<br>
<br>
<br>
<br>
<br>
varPrintSummaries are below:<br>
<br>
Variable: v<br>
Type: float<br>
Total Size: 2199744 bytes<br>
549936 values<br>
Number of Dimensions: 3<br>
Dimensions and sizes: [time | 804] x [lat | 19] x [lon | 36]<br>
Coordinates:<br>
time: [1297320..1883904]<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 14<br>
level : 500<br>
long_name : Monthly mean v wind<br>
units : m/s<br>
precision : 2<br>
least_significant_digit : 1<br>
var_desc : v-wind<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
level_desc : Multiple levels<br>
statistic : Mean<br>
parent_stat : Other<br>
missing_value : -9.96921e+36<br>
valid_range : ( -125, 160 )<br>
actual_range : ( -68.57001, 68.56999 )<br>
_FillValue : -9.96921e+36<br>
<br>
<br>
<br>
Variable: pw<br>
Type: float<br>
Total Size: 2199744 bytes<br>
549936 values<br>
Number of Dimensions: 3<br>
Dimensions and sizes: [time | 804] x [lat | 19] x [lon | 36]<br>
Coordinates:<br>
time: [1297320..1883904]<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 15<br>
long_name : Monthly Mean of Precipitable Water Content<br>
valid_range : ( -102.2, 102.2 )<br>
units : kg/m^2<br>
add_offset : 0<br>
scale_factor : 1<br>
missing_value : -9.96921e+36<br>
precision : 2<br>
least_significant_digit : 1<br>
var_desc : Precipitable Water Content<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
level_desc : Surface<br>
statistic : Mean<br>
parent_stat : Other<br>
actual_range : ( -3.971937, 69.0658 )<br>
_FillValue : -9.96921e+36<br>
<br>
Variable: uDJF<br>
Type: float<br>
Total Size: 183312 bytes<br>
45828 values<br>
Number of Dimensions: 3<br>
Dimensions and sizes: [time | 67] x [lat | 19] x [lon | 36]<br>
Coordinates:<br>
time: [1297320..1875888]<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 15<br>
level : 500<br>
long_name : DJF: Monthly mean u wind<br>
units : m/s<br>
precision : 2<br>
least_significant_digit : 1<br>
var_desc : u-wind<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
level_desc : Multiple levels<br>
statistic : Mean<br>
parent_stat : Other<br>
missing_value : -9.96921e+36<br>
valid_range : ( -125, 160 )<br>
actual_range : ( -68.04001, 124.4 )<br>
_FillValue : -9.96921e+36<br>
NMO : 0<br>
<br>
<br>
Variable: vDJF<br>
Type: float<br>
Total Size: 183312 bytes<br>
45828 values<br>
Number of Dimensions: 3<br>
Dimensions and sizes: [time | 67] x [lat | 19] x [lon | 36]<br>
Coordinates:<br>
time: [1297320..1875888]<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 15<br>
level : 500<br>
long_name : DJF: Monthly mean v wind<br>
units : m/s<br>
precision : 2<br>
least_significant_digit : 1<br>
var_desc : v-wind<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
level_desc : Multiple levels<br>
statistic : Mean<br>
parent_stat : Other<br>
missing_value : -9.96921e+36<br>
valid_range : ( -125, 160 )<br>
actual_range : ( -68.57001, 68.56999 )<br>
_FillValue : -9.96921e+36<br>
NMO : 0<br>
<br>
<br>
Variable: uAvgTime_hi<br>
Type: float<br>
Total Size: 2736 bytes<br>
684 values<br>
Number of Dimensions: 2<br>
Dimensions and sizes: [lat | 19] x [lon | 36]<br>
Coordinates:<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 16<br>
NMO : 0<br>
_FillValue : -9.96921e+36<br>
actual_range : ( -68.04001, 124.4 )<br>
valid_range : ( -125, 160 )<br>
missing_value : -9.96921e+36<br>
parent_stat : Other<br>
statistic : Mean<br>
level_desc : Multiple levels<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
var_desc : u-wind<br>
least_significant_digit : 1<br>
precision : 2<br>
units : m/s<br>
long_name : DJF: Monthly mean u wind<br>
level : 500<br>
average_op_ncl : dim_avg_n over dimension(s): time<br>
<br>
Variable: uAvgTime_lo<br>
Type: float<br>
Total Size: 2736 bytes<br>
684 values<br>
Number of Dimensions: 2<br>
Dimensions and sizes: [lat | 19] x [lon | 36]<br>
Coordinates:<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 16<br>
NMO : 0<br>
_FillValue : -9.96921e+36<br>
actual_range : ( -68.04001, 124.4 )<br>
valid_range : ( -125, 160 )<br>
missing_value : -9.96921e+36<br>
parent_stat : Other<br>
statistic : Mean<br>
level_desc : Multiple levels<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
var_desc : u-wind<br>
least_significant_digit : 1<br>
precision : 2<br>
units : m/s<br>
long_name : DJF: Monthly mean u wind<br>
level : 500<br>
average_op_ncl : dim_avg_n over dimension(s): time<br>
<br>
<br>
Variable: vAvgTime_hi<br>
Type: float<br>
Total Size: 2736 bytes<br>
684 values<br>
Number of Dimensions: 2<br>
Dimensions and sizes: [lat | 19] x [lon | 36]<br>
Coordinates:<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 16<br>
NMO : 0<br>
_FillValue : -9.96921e+36<br>
actual_range : ( -68.57001, 68.56999 )<br>
valid_range : ( -125, 160 )<br>
missing_value : -9.96921e+36<br>
parent_stat : Other<br>
statistic : Mean<br>
level_desc : Multiple levels<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
var_desc : v-wind<br>
least_significant_digit : 1<br>
precision : 2<br>
units : m/s<br>
long_name : DJF: Monthly mean v wind<br>
level : 500<br>
average_op_ncl : dim_avg_n over dimension(s): time<br>
<br>
Variable: vAvgTime_lo<br>
Type: float<br>
Total Size: 2736 bytes<br>
684 values<br>
Number of Dimensions: 2<br>
Dimensions and sizes: [lat | 19] x [lon | 36]<br>
Coordinates:<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 16<br>
NMO : 0<br>
_FillValue : -9.96921e+36<br>
actual_range : ( -68.57001, 68.56999 )<br>
valid_range : ( -125, 160 )<br>
missing_value : -9.96921e+36<br>
parent_stat : Other<br>
statistic : Mean<br>
level_desc : Multiple levels<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
var_desc : v-wind<br>
least_significant_digit : 1<br>
precision : 2<br>
units : m/s<br>
long_name : DJF: Monthly mean v wind<br>
level : 500<br>
average_op_ncl : dim_avg_n over dimension(s): time<br>
<br>
Variable: diff_u<br>
Type: float<br>
Total Size: 2736 bytes<br>
684 values<br>
Number of Dimensions: 2<br>
Dimensions and sizes: [lat | 19] x [lon | 36]<br>
Coordinates:<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 16<br>
average_op_ncl : dim_avg_n over dimension(s): time<br>
level : 500<br>
long_name : DJF: Monthly mean u wind<br>
units : m/s<br>
precision : 2<br>
least_significant_digit : 1<br>
var_desc : u-wind<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
level_desc : Multiple levels<br>
statistic : Mean<br>
parent_stat : Other<br>
missing_value : -9.96921e+36<br>
valid_range : ( -125, 160 )<br>
actual_range : ( -68.04001, 124.4 )<br>
_FillValue : -9.96921e+36<br>
NMO : 0<br>
<br>
Variable: diff_v<br>
Type: float<br>
Total Size: 2736 bytes<br>
684 values<br>
Number of Dimensions: 2<br>
Dimensions and sizes: [lat | 19] x [lon | 36]<br>
Coordinates:<br>
lat: [45..90]<br>
lon: [270..357.5]<br>
Number Of Attributes: 16<br>
average_op_ncl : dim_avg_n over dimension(s): time<br>
level : 500<br>
long_name : DJF: Monthly mean v wind<br>
units : m/s<br>
precision : 2<br>
least_significant_digit : 1<br>
var_desc : v-wind<br>
dataset : CDC Derived NCEP Reanalysis Products<br>
level_desc : Multiple levels<br>
statistic : Mean<br>
parent_stat : Other<br>
missing_value : -9.96921e+36<br>
valid_range : ( -125, 160 )<br>
actual_range : ( -68.57001, 68.56999 )<br>
_FillValue : -9.96921e+36<br>
NMO : 0<br>
<br>
<br>
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