In MeteoInfo software, slice from 3D data is wrapped as a MeshGraphic (
https://github.com/meteoinfo/MeteoInfo/blob/master/meteoinfo-chart/src/main/java/org/meteoinfo/chart/graphic/MeshGraphic.java), and it was rendered using JOGL vbo in MeshRender class (
https://github.com/meteoinfo/MeteoInfo/blob/master/meteoinfo-chart/src/main/java/org/meteoinfo/chart/render/jogl/MeshRender.java). It looks fine without tansparent color:
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I wanted to visualize sand and dust storm model forecasting data with x and z slices, and the small concentration data was set as transparent color. I found the z slice is obscured by x slice transparent part, while the background surface map could be viewed normally. It is appreciated that anyone can help me to solve this problem.
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If the problem need to be reproduced, please find the MeteoInfo:
http://www.meteothink.org/downloads/index.html, and the sand and dust storm data:
http://www.meteothink.org/downloads/data.html. And the following MeteoInfoLab scirpt:
############################# script 1
X=Y=Z = arange(-2, 2.1, 0.2)
X,Y,Z = meshgrid(X, Y, Z)
V = X*exp(-X**2-Y**2-Z**2)
xslice = [-1.2,0.8,2]
yslice = [0]
zslice = 0.1
axes3d()
lighting(True)
slice3(X, Y, Z, V, facecolor='interp', edgecolor=None, xslice=xslice,
yslice=yslice, zslice=zslice)
colorbar()
############################
############################ script 2
#Read data
fn = 'D:/Temp/mm5/WMO_SDS-WAS_Asian_Center_Model_Forecasting_CUACE-DUST_CMA_2019041500.nc'
f = addfile(fn)
st = f.gettime(0)
t = 20
dust = f['CONC_DUST'][t,:,:,:]
levels = dust.dimvalue(0)
#dust[dust<5] = 0
height = meteolib.pressure_to_height_std(levels)
lat = dust.dimvalue(1)
lon = dust.dimvalue(2)
#Plot
ax = axes3d()
lighting(True)
geoshow('country', facecolor=[204,204,255], lighting=False)
levs = [1,10,20,50,100,200,300,400,500]
cols = makecolors(len(levs) + 1, cmap='MPL_rainbow')
cols[0] = [220,220,220,100]
slice3(lon, lat, height, dust, levs, colors=cols, facecolor='interp',
edgecolor=None, xslice=[100], yslice=[], zslice=[])
slice3(lon, lat, height, dust, levs, colors=cols, facecolor='interp',
edgecolor=None, xslice=[], yslice=[], zslice=[4000])
colorbar(aspect=30)
xlim(65, 155)
xlabel('Longitude')
ylim(15, 65)
ylabel('Latitude')
zlim(0, 15000)
zlabel('Height (m)')
tt = st + datetime.timedelta(hours=t*3)
title('Dust concentration slices ({})'.format(tt.strftime('%Y-%m-%d %H:00')))
################################################
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