You may want to choose a light pink color by clicking on one of the basic colors and subsequently modifying the color by means of the black cross and the brightness slider.įigure 15: Picking a solid color for the cli isosurface This calls up the Pick Solid Color dialogue window depicted in Fig. In the Coloring section, keep Solid Color and click on the Edit Color Map button. In a next step, we are going to change the color of the isosurface for better visibility.įigure 13: Selecting the Contour filter for data set hdcp2_cli.nc.įigure 14: Isosurface at 0.0002 created by Contour filter for hdcp2_cli.nc For convenience, we have switched off the clw colormap legend by clicking on the simple colormap symbol ( Toggle Color Legend Visibility) while hdcp2_clw.nc is selected in the Pipeline Browser. This isosurface is drawn at the specific cloud ice content (cli) value of 0.0002 and encompasses higher values. Double-click into the first entry of the table below Value Range, overwrite it with 0.0002 and click Apply.Īfter a few seconds, you will see the white isosurface depicted in Fig. In the Contour1 properties, go to the Isosurfaces. With hdcp2_cli.nc selected, press the Contour button in the Filters (see Fig. Repeat steps 2 to 5, this time loading hdcp2_cli.nc. 12.įigure 10: Color Map Editor showing the opacity curve, as well as color transfer function and opacity values.įigure 12: color_clw.json applied and opened in Color Map Editor Press the Import button in the newly emerged Choose Preset window.

The button is available in both the Coloring section and in the Color Map Editor (see Figs. 10)Ĭlick on Choose preset (folder symbol with a heart) to select a more suitable colormap with shades of white and gray.

To inspect the current opacity curve and / or edit the current colormap, invoke the Color Map Editor by clicking on the Edit Color Map button in the Coloring section (see Fig. Try different viewing angles and zoom stages to explore the data. In contrast to large data sets on the original ICON grid, which require additional data reduction steps to interact fluently with volume rendering data, the resampled lat-lon data can readily be displayed as volume. Volume rendering, which is a bit like ‘color by numbers’ in 3D with transparency involved, is a good choice for obtaining a more realistic representation of clouds from this data set. With the surface representation, most of the areas with high cloud water content remain hidden inside the 3D volume. 8.įigure 8: clw displayed as surface representation With the left mouse button pressed, click into the viewer and move your mouse cursor upwards to change the viewing angle. In the toolbar, select the point variable clw instead of Solid ColorĬhange the representation from Outline to Surface The current time step is 0, and the corresponding data ranges for this time step are a minimum of 0 and a maximum of 0.00497013. There are 200 time steps, each of which takes up approx. This data set contains one point variable, clw, on a uniform rectilinear grid of size 1428 x 1555 x 201, extending from 47.5 to 58.4° north and from 4.5 to 14.5° east. 7)įigure 7: Information on data set hdcp2_clw.nc Solid color and Outline (white bounding box) are default representations.Ĭlick on the Information tab next to Properties to see information about the data set such as variables and data ranges, numbers of grid points and bounds, time steps and indices etc. data on a regular grid)įigure 6: Data set hdcp2_clw.nc applied. Select NetCDF files generic and CF conventions (see Fig. Load clw data by: File -> Open… -> hdcp2_clw.nc -> OK In the toolbar, press Set view direction to –Z.įigure 3: land_surface.pvsm : Calculator extrusion of data surface_1.nc

State file for land background: land_surface.pvsmĬheck that the path to surface_1.nc in window Fix Paths in State file is correct Data directory: /work/kv0653/ParaView-Workshop/HDCP2/ĭata files: hdcp2_clw.nc, hdcp2_cli.nc, hdcp2_qr.nc

Isosurface merge range paraview