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PRODID:Linklings LLC
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X-LIC-LOCATION:Europe/Stockholm
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20190719T085744Z
LOCATION:HG EO Nord
DTSTART;TZID=Europe/Stockholm:20190613T195000
DTEND;TZID=Europe/Stockholm:20190613T215000
UID:submissions.pasc-conference.org_PASC19_sess179_post106@linklings.com
SUMMARY:CLW01 - A Case Study of Scientific Visualization of Flow Field Dat
 a – Dynamic Visualization of Ocean Current and Wave
DESCRIPTION:Poster\n\n\nCLW01 - A Case Study of Scientific Visualization o
 f Flow Field Data – Dynamic Visualization of Ocean Current and Wave\
 n\nLiu, Su, Liu\n\nHigh-quality flow field visualization can help users to
  understand the hidden rules behind a large number of messy data more clea
 rly and intuitively. This paper mainly focuses on dynamic visualization of
  ocean current and wave based on flow field visualization with LIC algorit
 hm. For geometric visualization, we use the Runge-Kutta method to track st
 reamline trajectories. Then, the density of the particles in the vector fi
 eld is controlled by the probability density. For the LIC method, visualiz
 ation of steady flow field and unsteady flow field are studied. For steady
  flow field, interpolation of background white noise is used to solve the 
 problem of discontinuity and “cross” high-pass filtering is us
 ed to make streamlines more concentrated. When the sparse noise is used as
  input in the steady flow field, we change the direction of background spa
 rse noise according to the direction of vector field to make the streamlin
 e clearer and brighter. For unsteady flow field, double value scattering a
 nd “cross” high-pass filtering with white noise are used to im
 prove the visualizaiton of streamlines. Finally, the experimental results 
 show that either method can generate high-quality current or wave images a
 nd animations.
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