C:/VaporTutorial/images - Vapor - UCAR

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Tutorial Outline • Set up a visualization session in VAPOR using a simulation of Typhoon Jangmi (Sept. 2008) • Apply georeferenced image (Satellite image from Web) • Volume rendering: Visualize the typhoon progress with QCLOUD – Build a Transfer Function (color/opacity map) • Create and visualize derived variables using Python • Visualize Isosurfaces of wind speed • Flow integration (wind visualization) – Streamlines: observe how the air flows through the typhoon 4 vapor@ucar.edu
Obtaining images to use with VAPOR • Geo-referenced satellite images can be retrieved from the Web, and VAPOR will insert them at the correct world coordinates. – VAPOR provides a shell script “getWMSImage.sh” that can be used to retrieve Web Mapping Service images for a specified longitude/latitude rectangle • A geo-tiff terrain image for the typhoon data has been provided in the C:/VaporTutorial/images directory. • Several useful images are installed with VAPOR, including a world-wide terrain image, and political boundaries of the U.S and the world. Apply these by clicking “Select Installed Image” in the Image panel. 5 vapor@ucar.edu
Page 1 and 2: Understanding WRF-ARW Datasets with
Page 3: Supporting software and data • In
Page 7 and 8: Set-up to visualize a WRF dataset (
Page 9: Set-up to visualize a WRF dataset (
Page 12 and 13: Volume Visualization of QCLOUD 1. U
Page 14 and 15: Volume Visualization: Edit Transfer
Page 16 and 17: Define derived variable • From VA
Page 18 and 19: Isosurfaces of Wind (2) To color th
Page 20 and 21: Capture an animation sequence Save
Page 22 and 23: 22 Radar reflectivity with isosurfa
Page 24 and 25: Random streamlines (1) • Disable
Page 26 and 27: Use the probe to see a vertical sli
Page 28 and 29: 28 Cross section of typhoon (Probe
Page 30 and 31: Using the probe to specify flow see
Page 32 and 33: Other useful capabilities of VAPOR
Page 34 and 35: Tutorial supplement: An analysis of
Page 36 and 37: 36 Thanks! vapor@ucar.edu

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