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Observations used to support RAMS at Supercomputing'97

As part of the effort in developing forecasts, the results from the LAPS pre-processing, assimilation step are analyzed as well as RAMS output. Tools similar to those for RAMS were also developed for the study of LAPS results. But since this step is critical to the application of RAMS as well as other mesoscale models, the approach used for RAMS visualizations has been applied to LAPS.  These data were made available for interactive three-dimensional visualization and analysis via a new Data Explorer-based viewer application, similar to the RAMS application described earlier. This includes all of computed variables from LAPS at hourly resolution.  Here is a some sample image for Wednesday, November 19 at 0900 UTC (1 AM PST).  An animation created with this application that includes this time step is available, covering most of the Supercomputing '97 period and LAPS runs used to support RAMS executions.
 

 
A surface variable (total precipitation) has been selected for display as pseudo-color, which is overlaid on a topographic map.  Rivers (blue) and coastlines (black) are draped on the surface.  An upper air variable (relative humidity) has been selected for display via surface extraction.  The surface at 90% is requested in translucent white as a representation of a cloud boundary.  Another field (temperature) has been selected to show as a vertical slice, which is pseudo-color contoured.  Any of the three-dimensional fields available from LAPS can be visualized with either of these methods.  The upper air wind data can be seen along two vertical profiles, which are specified interactively.  The direction of the model wind field along these "virtual soundings" are shown via vector arrows pseudo-colored by horizontal wind speed.  The length of the arrows also corresponds to the horizontal speed.  The profile is realized as a pseudo-colored tube, which is contoured by the variable selected for isosurface realization (i.e., humidity).


With the LAPS viewer visualization and analysis application, you have the ability to view and interact with the data in a latitude-longitude (from the model's stereographic grid)-pressure coordinate system.  The coordinates are annotated with an axes box and base maps.  The focus of this application is the analysis (visualization and interrogation) of the model output.  There is a  control panel, which gives you the ability to select any of the surface and upper air variables to visualize with pre-defined methods.  Another control panel allows you to select the LAPS output of interest.  Additional information about these options is available via the Help buttons in the control panels.  This is a screen dump of the application.

There are three other windows of interest.  The primary one is the Image window, within which you may view and directly interact with the model output.  There are several options available, including changing viewing modes (Options pull-down, View-Control) and saving/printing images/animations (File pull-down).

A third window is the Sequence Control.  It is a graphical widget with the appearance of a VCR.  It gives you the ability to specify a time step or frame within the model run you are currently examining.  You can move forward or backward in sequence, single step, pause, loop continuously or loop back and forth.  If you hit the button in the upper right, you can manual control the time steps available as well as the increment between steps to be examined.

The control panel in the viewer application allows you to select specific visualization techniques and data.  The visualization coordinate system (latitude, longitude, pressure) is annotated with an axes box and base coastlines, river and topographic maps.  The vector/line maps are draped over a topographic surface and displaced below the lower vertical boundary.  The surface may be pseudo-colored by any one of over two dozen surface, scalar, two-dimensional variables produced by the model.  This may also include topographic height.

LAPS produces several upper air, three-dimensional fields.  For each of 14 upper air scalar fields, you may choose to realize the data as an isosurface, vertical slice and horizontal (isobaric) slice.  For the isosurface, you may choose a specific threshold value.  The isosurface is colored according to a segmented colormap.  When you change the variable of interest, the default value for the isosurface is the mean.  You may indicate the desired value via a stepper widget.

For the vertical slice, you may select a grid position, and whether the slice is meridional or zonal.  The slice is color-filled, pseudo-colored with a segmented colormap and line contoured.  For the horizontal slice, you may choose what pressure level is to be shown.  The slice is pseudo-colored with a continuous colormap.

You may probe the volume for specific values at selected locations within the model output.  If the probe button is pushed, the variable that was selected for isosurface representation will be interrogated.  The results will be displayed in a dialog box that will pop up on the screen.  To change the location, go to Cursors Mode (Options pull-down in the Image window, View-Control) and select probe_volume.  You will see a little probe point in the volume.  With the left mouse button, you can drag the point around, which will show coordinates in the upper left.  In execute-on-change mode, when you release the mouse button, the results will be shown. An example of this feature is shown in the image.

The upper air three-dimensional wind velocity is visualized via interactive marking of geographic locations of interest.  You may define one or more geographic locations for "virtual soundings" within the model atmosphere.  This is also done in Cursors Mode. You should select profilers.  You can either grab and move one of the locations already set with the mouse or indicate a new location by double clicking with the left mouse button at the desired place.  You can also delete one of the extant locations by pointing at it with the cursor and double-clicking the left mouse button.  At the locations that have been specified, a vertical profile is extruded through the entire model atmosphere, which is realized as a tube.  The sounding location is used to derive information about wind velocity.  The wind velocity along the profile is shown by a set of vector arrows that point in the direction of the wind.  Horizontal speed at these points are indicated by the color and length of the arrows.  Optionally, the locations on each "virtual wind profiler" can be used for seed particles for particle advection, which is realized as streamlines.  These lines, which are also pseudo-colored by horizontal speed, indicate the instantaneous direction of the modelled wind from these locations.  If a variable has been selected for realization as an isosurface, then the values along each profile of that variable are also shown as pseudo-colored, filled contour bands using the same segmented colormap as is employed for the isosurface. These profiles are also shown via a conventional pressure-profile plot as shown in a separate image window.
 


The previous images show LAPS output, derived from actual observations at 1 AM PST on November 19 that were used for RAMS executions that day.  The image below is a prediction from RAMS for that period of cloud water density not humidity as in the LAPS images.  This simulation that produced this result was initiated 10 hours earlier.  Other results from that simulation are visible on the previous page.


 
For comparison purposes, you can also look at satellite observations from GOES-9 for this period in the infrared at 4 PM PST and the visible 10 AM PST on November.  Animations of the available observations can also be seen in the infrared and the visible.  Some of features visible in the RAMS predictions described earlier are apparent.



For additional comparison, surface conditions for the entire United States are shown below for 4 PM PST on November 18.  Temperature, wind velocity, radar results and pressure are depicted.  An animation of these data for the entire period is also available.  Some of features visible in the RAMS predictions described earlier are apparent.


lloydt@watson.ibm.com



 
  
 

  

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