Center of Higher Learning

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Center of Higher Learning High Performance Visualization Center Buoy Data Visualization Denise Runnels Supreeya Miller Sharif Khalid

description

Center of Higher Learning. High Performance Visualization Center Buoy Data Visualization Denise Runnels Supreeya Miller Sharif Khalid. Goals. Visual Representation of Buoy Data Prototype for NDBC. Topics of Discussion. NDBC portrayal of data Hardware and software tools used - PowerPoint PPT Presentation

Transcript of Center of Higher Learning

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Center of Higher Learning

High Performance Visualization Center

Buoy Data Visualization

Denise Runnels

Supreeya Miller

Sharif Khalid

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Goals

• Visual Representation of Buoy Data

• Prototype for NDBC

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Topics of Discussion

• NDBC portrayal of data

• Hardware and software tools used

• Our portrayal of data

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National Data Buoy Center

• NDBC is part of the National Weather Service (NWS)

• “Develops, operates and maintains a network of buoy and coastal-marine automated network (C-MAN) stations” that NWS uses in preparing forecasts

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NDBC Data Collected:

• Air temperature

• Sea surface temperature

• Wave direction, heights and periods

• Wind speed, direction, and gust

• Barometric pressure

• Station visibility

• Date and time

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Raw Buoy Data

• So far this data is represented as a collection of numbers and static strip charts.

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Visualize Buoy Data

• We can combine computer graphical tools with the buoy data to make a real time moving image that has more innate meaning than the raw data alone.

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Hardware Tools

• SGI Onyx2

• Linux workstations

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Software Tools

• C and C++

• OpenGL• OpenGL is an open visualization software package

• Compatible with several different machine platforms and is therefore relatively portable

• Text Font library

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Raw Buoy Data

These tools combined with this data becomes …

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Air and Sea Surface Temperature

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Wave Data Representation

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Wave Height

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Wind Speed & Direction

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Gust Speed & Direction

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Mouse Clicks

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Future Plans

•We are working on several interactive options for the user such as:

•Varying the speed (Human factor engineering)

•Different day and night effects

•Choice of which buoy station the data comes from by clicking on a map