Commit ac2bce4b authored by MiraeDEV's avatar MiraeDEV

Update 4 2 vertical scalar field

parent e023cb48
...@@ -7,13 +7,37 @@ This guide can also be applied to the visualization of any scalar field on verti ...@@ -7,13 +7,37 @@ This guide can also be applied to the visualization of any scalar field on verti
##### 1. Open data file. ##### 1. Open data file.
Open your data file(s), using _Open Data_ buttons on the _Home_ menu category of _Menu Bar_.
##### 2. Load the temperature variable and show it on a layer. ##### 2. Load the temperature variable and show it on a layer.
##### 3. Change the settings for color mapping (optional). In order to visualize the distribution of the variable on a layer, you can either
* click the _Add Horizontal Plane_ menu button on _Layer_ menu category, select options, and then click "OK", or
* right-click the temperature variable on the _Variables Pane_, select _Add Horizontal Plane'.
* double-click the temperature variable on the _Variables Pane_, and click 'OK' to add layer.
_Rendering Pane_ will immediately display the distribution, and a new layer will be added to the _Layers Pane_.
##### 3. Explore temperature distributions at different altitudes (if any).
If your dataset includes wind flow datasets at multiple altitude, you can select a particular height level, or easily change to the next/previous height level.
On _Horizontal Plane_ menu category of _Menu Bar_, you will find _Vertical Level_ drop-down control, where you can select height level among all the levels available in your dataset. You can also click _Move Up / Move Down_ button in order to increase / decrease the selected level.
##### 4. Change the settings for color mapping (optional).
Double click the vertical _Color Bar_ on the right-hand side of _Rendering Pane_. A popup dialog named _'Setup Colormap and Limit Range'_ will show up, where you can change various options regarding the color mapping.
##### 5. Change the visualization style - contour vs. raster (optional).
On _Horizontal Plane_ menu category of _Menu Bar_, you can select one of the following visualization styles:
##### 4. Change the visualization settings - contour vs. raster (optional). * Contour : show distribution with discrete iso-level contour lines (optionally with filled colors)
* Raster : show distribution with smoothly filled colors
* Dot : show distribution with colored dots for grid points
##### 5. Adjust the location of the cross-sectional plane. Each menu button has drop-down submenu, where you can set various options for each visualization style. For example, you can display character labels (including "H"/"L" for geopotential height) at the peak locations of the distribution.
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