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A Four-Dimensional Radar Analysis Tool For AWIPS: The “FSI”. Gregory J. Stumpf 1,2 M. Thomas Filiaggi 2 V. Lakshmanan 1,3 William F. Roberts 4 Michael J. Istok 5 Stephan B. Smith 2. 1 CIMMS / University of Oklahoma 2 NWS Meteorological Development Laboratory

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a four dimensional radar analysis tool for awips the fsi

A Four-Dimensional Radar Analysis Tool For AWIPS:The “FSI”

  • Gregory J. Stumpf 1,2
  • M. Thomas Filiaggi 2

V. Lakshmanan 1,3

William F. Roberts 4

Michael J. Istok 5

  • Stephan B. Smith 2

1 CIMMS / University of Oklahoma

2 NWS Meteorological Development Laboratory

3 National Severe Storms Laboratory

4 Forecast Systems Laboratory

5 NWS Systems Engineering Center

four dimensional stormcell investigator fsi
Four-Dimensional Stormcell Investigator (FSI)
  • To increase warning skill and lead time, and therefore improve public service
    • 3D/4D visualization should allow forecasters to discover new clues and signatures useful in diagnosis of severe and tornadic storms
  • The FSI project is a multi-agency collaboration
    • NWS: MDL, SEC
    • OAR: NSSL, FSL
    • CIMMS / University of Oklahoma
why three and four dimensions
Why three (and four) dimensions?
  • Because the atmosphere is four-dimensional!
  • Storm researchers have used 3D/4D displays for years to facilitate their understanding of signatures related to severe weather.
  • How can operational forecasters utilize 3D/4D visualization in an effective, and rapid manner?
the lemon technique 1977
The Lemon Technique (1977)
  • Original storm structure analysis methods presented using vertical cross-sections (RHIs)
    • RHIs are not possible with WSR-88D
slide5

AWIPS 3D storm interrogation shortcomings

  • AWIPS users must infer vertical storm structure using 2D representations of radar data.
  • All Tilts: a series of 2D “horizontal” cross-sections
    • But PPIs are not horizontal – elevation angles are slanted.
  • Vertical Cross-sections
    • Not very easy to use
    • Only complete during short period at end of volume scan
    • Not dynamic (must re-draw to get new cross-section)
  • Warning decision making demands quick and rapid assessment of the 3D structure of storms.
potential solution display three dimensions d3d
Potential solution:Display Three-Dimensions (D3D)
  • D3D was designed to display gridded data (e.g., numerical model output) in three-dimensions
    • Was based on Viz5D technology
  • Viz5D could not display radar data in its native spherical coordinate system.
    • Radar data had to be re-mapped to Cartesian space
    • Lose important information in radial velocity fields
potential solution four dimensional stormcell investigator fsi
Potential solution:Four-Dimensional Stormcell Investigator (FSI)
  • Integrate National Severe Storms Laboratory (NSSL) Warning Decision Support System – Integrated Information (WDSSII) 3D/4D display technology into AWIPS
    • Uses Open GL hardware acceleration on standard video graphics cards (think: video gaming)
  • The WDSSII technology is already mature enough and would require little additional resources to be easily incorporated into AWIPS.
  • FSI will be an extension to D2D
fsi prototype requirements
FSI Prototype Requirements
  • Provide for quick and easy access to the data (15-30 seconds per storm)
  • Provide linkages between 2D representations and 3D data
    • Still difficult for users to overcome tendency to view in traditional 2D manner
  • Radar data must be “native” 8-bit resolution polar grids
    • Z, V, SRM, SW
  • 4D: Animation while slicing and dicing
  • GUI should have similar look and feel to D2D
  • Keyboard shortcuts
  • Processes must cause minimal impact to AWIPS system resources
fsi prototype design
FSI Prototype design
  • WDSSII GUI (wg)
    • Earth-centric coordinates (earth center is origin)
    • Open GL hardware acceleration
    • Radar data represented by 2D textures
      • Elevation PPI data on conical surfaces
      • Vertical and horizontal Xsections on 2D planes
    • 2D textures represented in 3D space
    • Zoom, pan, pitch, and yaw
      • “Fly” around and through 3D data
earth relative coordinates
Earth-Relative Coordinates
  • Data are plotted using earth center as domain origin
  • All data plotted at lat/lon/ht-MSL
  • Continuous pan and zoom
earth relative coordinates11
Earth-Relative Coordinates
  • PPI data shows as 2D textures on conical surfaces
  • Can “fly through” data
vertical cross sections
Vertical Cross-Sections
  • Click, draw, and drag concept similar to legacy WDSS and WATADS
  • Vertical 2D texture is drawn with PPI textures
  • Can fly around both textures in 3D space
  • Vertical data accurately represented in 3D space
    • 1:1 aspect ratio
  • 1 beamwidth also represented in the vertical
  • Virtual Volume: Cross sections always have full volume of data.
dynamic cross sections

The Lemon Technique

Dynamic Cross-Sections
  • Can update X-Section line, either by
    • Dragging entire line
    • Resetting endpoints
  • 2D and 3D pictures are linked
  • Other representations update on-the-fly
fsi configuration
PPI: Plan Position Indicator

VDX: Vertical Dynamic X-Section

CAPPI: Constant Altitude PPI

3D Flier: Three-Dimensional Flier

FSI Configuration
  • Initial prototype will have a fixed 4-panel design:
implementation in awips
Implementation in AWIPS
  • wgNotify:
    • Persistent server process to update a Radar Linear Buffer for the FSI client
  • wgLaunch:
    • Click storm cell on D2D or SCAN Table to launch FSI Display
    • Will provide a Control Linear Buffer:
      • Location (lat/lon)
      • Time
      • Radar source
      • Map Info
warning decision training
Warning Decision Training
  • Through various real-time tests of D3D and WDSSII, it has become generally known that some forecasters weren’t “ready” for 3D analysis. Why?
    • Very few forecasters have been exposed to 3D analysis in the classroom.
  • Therefore, concurrent with design, test, and deployment of 3D radar tool must be a ramping up of 3D analysis training at WDTB.
    • Knobology is important, but the understanding of storm signatures in 3D representations is key.
operational implementation
Operational Implementation
  • Alpha Version = AWIPS OB7 (Spring ’06) ????
    • Future versions: Isosurfaces, storm-relative animation
  • Experimental warning testbed (several WFOs nationwide)
  • Development and implementation of application will be concurrent with development of WDTB training
questions
Questions?

Email: Greg.Stumpf@noaa.gov

NWS Meteorological Development Laboratory

Decision Assistance Branch

http://www.nws.noaa.gov/mdl/dab/decisionassistbr.htm