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  IBM demonstrates Deep Thunder at AMS 2000

IBM demonstrates Deep Thunder at the American Meteorological Society 2000 conference

The capabilities developed and utilized over the last three years in various venues were employed at the American Meteorological Society 2000 Conference (AMS 2000:  January 9 - 15, 2000 in Long Beach, CA) in the IBM booth as part of the conference's technical exhibition.  The system was adapted to the Long Beach area.

For only the second time, "nested" forecasts at 16, 4 and 1 km resolution (areas of 976x976, 244x244 and 61x61 km in size, respectively) were produced.  This time, they were centered over Long Beach (specifically at the Convention Center).  They will be tied to multi-resolution visualizations to make live predictions during the conference.  At the previous AMS conference, only a single resolution (8 km over at area 800x800 km in size) was supported.  This new capability is critical for a number of commercial Deep Thunder applications, where the domain of the forecast is tailored to the geographic region of interest enabling one to "zoom in" on predictive forecasts.  The system will be running in parallel on eight 200 MHz 2-way POWER3 nodes for compute and an additional one for I/O.  Forty-eight-hour forecasts required about 8 hours for all three geographic nests.  Three workstations (two IBM RS/6000 43P-260s and an IBM Intellistation M-Pro) and three laptops (IBM Thinkpads 770Z and 600E and RS/6000 860) will be available to interact with the model and analyze results.  Each of these nests are shown in the images below.  The first image shows the domain of the outer nest with 1 km-resolution topography data and a number of major cities marked.

The next two images are from animation sequences of a 24-hour test forecast showing predicated temperature contours and values at specific sites, and streamlines of surface winds draped over the local terrain.  The images are for 4 pm local time on December 20, 1999 from the forecast from 4 am on December 20 to 4 am on December 21.  The first image is from the 4 km nest.  You can see an animation of this view of the data (or at lower resolution).  Although these images are from runs made before the conference, they illustrate the domains of the inner two nests.

The next image is from the 1 km nest. You can see an animation of this view of the data (or at lower resolution).

The performance and resolution enhancements were mapped to three distinct visualization and analysis applications.  In addition to general improvements, the visualization tools were adapted for multi-resolution operations via a new method to encapsulate access to nested data.  A 3d facility for interactively browsing model results and tracking the simulation was used to create the images and animations above, which includes flyover and time-based animation of various weather variables, and "snapshots" for web access as PanoramIX scenes, simplified VRML geometry and images.  Two applications for the analysis of the post-processed model output provided complementary facilities.  One was focused on the entire 3d model domain while the other emphasized surface and upper atmospheric layers.  Details about these visualization applications are available in a paper for you to read.  A paper (3.1.2) on the visualization portion of the work was presented in the Interactive and Information Processing System conference during the AMS meeting.

Due to a number of logistical difficulties, raw observations and access to data assimilation via LAPS for the pre-processor step were unavailable at AMS.  Therefore, RAMS was initialized with the results from the ETA synoptic scale model from NCEP, which are computed at 32 km resolution, but sampled at 40 km for public availability.  These same data were also used for boundary conditions for the model.  Since this model is run only twice per day, two Deep Thunder runs were completed each day of the conference.

The results from one run during the conference is shown below produced by the browser application.  The image illustrates cloud properties and surface temperature and winds at 4 am on January 12, 2000.  It shows a terrain map, pseudo-colored by contours of predicted surface temperature overlaid with coastline, national boundary, state, county and river maps.  Some major cities in the area are also marked with predicted temperatures.  Forecast winds are illustrated by arrows show the wind direction, which are, colored by speed.  Clouds are visualized as a white, translucent isosurface of cloud water density.  This image combines the 4 and 1km nests into an integrated view.  An animation of this 48-hour forecast shows how the model picks up the sea breeze along the coast, for example.



To evaluate these model results, it is useful to compare them to actual observations as well as other model results.


lloydt@watson.ibm.com
Last updated January 11, 2001



  
 
  

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