Overlaying Model Image on Radar and Satellite

Purpose:

This task demonstrates how to load a radar image on a satellite image and add a model image.

Tasks:

 

  1. From the Satellite menu, select IR Window.
  2. From of your dedicated radar menus, select xxxx Z (where xxxx is the chosen radar), then select 0.5 Z best res.
  3. Note how the radar data blocks the satellite data.
  4. Right-click and hold on the Satellite text in the product legend and select Move Up.
  5. Note how the satellite data on top now blocks the radar data.
  6. Right-click and hold on the Satellite text in the product legend and select Move Down.
  7. Overlay RAP Lifted Index contours.
    1. From the Volume menu, select Browser.
    2. In the Volume Browser window, select RAP13 from the Volume menu in Sources, and Lifted Idx from the Stability menu in Fields. The Planes section should automatically populate with 100MB-500MB. Click Load.
  8. Convert the RAP Lifted Index graphic to an image.
    1. Right-click and hold on RAP13 Lifted Index in the product legend and select Load as Image.
    2. Toggle off the radar and satellite overlays by left-clicking on each in the product legend.
      • You may want to right click on the RAP13 Lifted Index Img product legend, select Change Colormap, and adjust the Max to near 0 (for LI) and increase the Min to stretch the "gridded data" color table to something that better brings out the data.
      • Converting graphics to images is an important strategy in analyzing model data, though the coverage can be dominant in the display. You can see that graphic contours are much better for adding subtle information over other images.
    3. Toggle on the radar and satellite overlays by left-clicking on each in the product legend.
    4. Right-click and hold on RAP13 Lifted Index Img and select Move Up .  Repeat this step to move it above the Satellite product.
      • Note how the "stacked" image data overlay is fairly obtrusive relative to the contours, but the image can provide a unique background to integrate datasets.
  9. Task Complete!