Skip to main content

Wind Field Retrieval and Display for Doppler Radar Data

  • Conference paper
Book cover Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5358))

Included in the following conference series:

Abstract

Doppler radars are useful facilities for weather data gathering. In this paper, we propose a visualization pipeline to extract and display horizontal wind fields for Doppler radar data. At first, the input radar data are filtered with adaptive filters to reduce noise and enhance features. Then the horizontal wind field is computed by using a hierarchical optical flow method. In the visualization stage, a multi-level streamline construction method is employed to generate evenly-spaced streamlines to reveal the wind field structures.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. McCaslin, P.T., McDonald, P.A., Szoke, E.J.: 3D Visualization Development at NOAA Forecast Systems Laboratory. ACM Computer Graphics 34, 41–44 (2000)

    Article  Google Scholar 

  2. Hibbard, W.L.: 4-D Display of Meteorological Data. In: Proceedings of the 1986 Workshop on Interactive 3D Graphics, pp. 23–36 (1986)

    Google Scholar 

  3. Hibbard, W.: Large Operational User of Visualization. ACM SIGGRAPH Computer Graphics 37, 5–9 (2003)

    Google Scholar 

  4. Gerstner, T., Meetschen, D., Crewell, S., Griebel, M., Simmer, C.: A Case Study on Multiresolution Visualization of Local Rainfall from Weather Radar Measurements. In: Proceedings of IEEE Visualization 2002, pp. 533–536 (2002)

    Google Scholar 

  5. Djurcilov, S., Pang, A.: Visualizing Gridded Datasets with Large Number of Missing Values (Case Study). In: Proceedings of IEEE Visualization 1999, pp. 405–408 (1999)

    Google Scholar 

  6. Jang, J., Ribarsky, W., Shaw, C., Faust, N.: View-Dependent Multiresolution Splatting of Non-Uniform Data. In: Proceedings of IEEE TVCG Symposium on Visualization 2002, pp. 125–132 (2002)

    Google Scholar 

  7. Ueng, S.K., Wang, S.C.: Interpolation and Visualization for Advected Scalar Fields. In: Proceedings of IEEE Visualization 2005, pp. 615–622 (2005)

    Google Scholar 

  8. Stalling, D., Hege, H.C.: Fast and Resolution Independent Line Integral Convolution. In: ACM SIGGRAPH 1995, pp. 249–258 (1995)

    Google Scholar 

  9. Jobard, B., Lefer, W.: Creating Evenly-Spaced Streamlines of Arbitrary Density. In: Eurographics Workshop on Visualization in Scientific Computing 1997, pp. 45–55 (1997)

    Google Scholar 

  10. Mebarki, A., Alliez, P., Devillers, O.: Farthest Point Seeding for Efficient Placement of Streamlines. In: IEEE Visualization 2005, pp. 479–486 (2005)

    Google Scholar 

  11. Turk, G., Bank, D.: Image-guided streamline placement. In: ACM SIGGRAPH 1996, pp. 453–460 (1996)

    Google Scholar 

  12. Chong, M., Georgis, J.F., Bousquet, O., Brodzik, S.R., Burghart, C., Cosma, S., Germann, U., Gouget, V., Houze, R.A., James, C.N., Prieur, S., Rotunno, R., Froux, F., Vivekanandan, Zeng, Z.X.: Real-Time Wind Synthesis from Doppler Radar Observations during the Mesoscale Alpine Programme. Bulletin of the American Meteorological Society 81, 2953–2962 (2000)

    Article  Google Scholar 

  13. Friedrich, K., Hagen, M.: On the use of advanced Doppler radar techniques to determine horizontal wind fields for operational weather surveillance. Meteorological Applications 11, 155–171 (2004)

    Article  Google Scholar 

  14. Rinehart, R.E.: A Pattern Recognition Technique for Use with Conventional Weather Radar to Determine Internal Storm Motions. Recent Progress in Radar Meteorology. Atmos. Technol., 119–134 (1981)

    Google Scholar 

  15. Li, L., Schmid, W., Joss, J.: Nowcasting of Motion and Growth of Precipitation with Radar over a Complex Orography. Journal of Applied Meteorology 34, 1286–1300 (1995)

    Article  Google Scholar 

  16. Tuttle, J., Gall, R.: A Single-Radar Technique for Estimating the Winds in Tropical Cyclones. Bulletin of the American Meteorological Society 80, 653–668 (1999)

    Article  Google Scholar 

  17. Shapiro, A., Robinson, P., Wurman, J., Gao, J.: Single-Doppler Velocity Retrieval with Rapid-Scan Radar Data. Journal of Atmospheric and Oceanic Technology 20, 1578–1595 (2003)

    Article  Google Scholar 

  18. Collier, C.G.: Application of Weather Radar Systems: A Guide to Uses of Radar Data. Halsted Press (1989)

    Google Scholar 

  19. Ueng, S.K., Cheng, H.P., Lu, R.Y.: An Adaptive Gauss Filtering Method. In: Proceedings of IEEE Pacific Visualization Symposium 2008, pp. 127–134 (2008)

    Google Scholar 

  20. Davis, H.F., Snider, A.D.: Introduction to Vector Analysis. Wm. C. Brown Publisher (1991)

    Google Scholar 

  21. Beauchemin, S.S., Barron, J.L.: The Computation of Optical Flow. ACM Computing Surveys 27, 433–467 (1995)

    Article  Google Scholar 

  22. Lucas, B., Kanade, T.: An Iterative Image Registration Technique with an application to Stereo Vision. In: International Joint Conference on Artificial Intelligence, pp. 674–679 (1981)

    Google Scholar 

  23. Bowler, N., Pierce, C.: Development of a Short QPF Algorithm Based upon Optic Flow Techniques. Technical report, Met Office, United Kingdom (2002)

    Google Scholar 

  24. Jobard, B., Lefer, W.: Multiresolution Flow Visualization. In: Proceedings of WSCG 2001 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ueng, SK., Chiang, YC. (2008). Wind Field Retrieval and Display for Doppler Radar Data. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89639-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89639-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89638-8

  • Online ISBN: 978-3-540-89639-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics