Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Retrieval of Small and Medium-Scale Wind Field Based on Doppler Radar

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 878))

  • 2397 Accesses

Abstract

Compared with the inversion of large-scale continuous wind field, the inversion of small and medium-scale wind field is more difficult. Through the inversion and analysis of small and medium-scale wind field, many disastrous weather can be predicted. It is of great significance to study the formation mechanism of small and medium-scale weather system and the complex structure of atmospheric boundary layer. The GUI interface of MATLAB is used to set the parameters of wind field simulation. Then the radial velocity fields of various small and medium-scale wind fields are simulated according to Rankine mode. Finally, use NIVAP (integration method in natural coordinate system) and EVAPTC (EVAP method for tropical cyclone inversion), wind field inversion methods to invert the simulated wind field, and compare the similarity coefficients of the two inversion results. Through comparison and analysis, we can draw the following conclusions: both these two inversion methods can get better inversion results, but EVAPTC method is slightly better than NIVAP method.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover 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

Similar content being viewed by others

References

  1. Lhermitte, R.M., Atlas, D.: Precipitation motion by pulse Doppler radar. In: Proceedings of the Ninth Weather Radar Conference, pp. 218–223 (1961)

    Google Scholar 

  2. Tao, Z.: VAP method for inversion of wind vector field from single Doppler velocity field. Acta Meteorol. Sci. 50(1), 81–90 (1992)

    Google Scholar 

  3. Bai, J., Tao, Z.: Data preprocessing of VAP retrieval from single Doppler radar wind field. Acta Meteorol. Sci. 11(1), 21–26 (2000)

    Google Scholar 

  4. Zhou, Z., Min, J., Peng, X., et al.: Extended VAP method for single-Doppler radar wind field inversion(I): method and comparative test. Plateau Weather 25(3), 516–524 (2006)

    Google Scholar 

  5. Liang, X., Wang, B.: Doppler radar integral VAP retrieval technology. Acta Meteorol. Sci. 65(2), 261–271 (2007)

    Google Scholar 

  6. Luo, C., Sun, Z., Wei, M., et al.: VAP extended application method for retrieving tropical cyclone near-center wind field with single Doppler radar. Acta Meteorol. Sci. 69(1), 170–180 (2011)

    Google Scholar 

  7. Chang, Y., Dai, J., Huang, X., Zheng, S.: Analysis of retrieving vortex wind field by single Doppler radar. Meteorol. Technol. 47(5), 720–730 (2019)

    Google Scholar 

  8. Liou, Y.-C., Bluestein, H.B., et al.: Single-Doppler velocity retrieval of the wind field in a tornadic supercell using mobile, phased-array, Doppler radar data. J. Atmos. Oceanic Technol. 08, 35 (2018)

    Google Scholar 

  9. Ueng, S.-K., Chiang, Y.-C.: Wind field retrieval and display for Doppler radar data. In: Bebis, G., et al. (eds.) ISVC 2008. LNCS, vol. 5358, pp. 171–182. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-89639-5_17

    Chapter  Google Scholar 

  10. Zeng, Y., Zhou, H., Roarty, H., Wen, B.: Wind speed inversion in high frequency radar based on neural network. Int. J. Antennas Propag. 2016(Pt. 3), 1–8 (2016)

    Google Scholar 

  11. Yang, L., Wang, Y., Yang, Y.: Experimental study on wind field retrieval using WRF 3D-var assimilation Doppler radar. Glacial Permafrost 38(01), 113–120 (2016)

    Google Scholar 

  12. Lin, T., Yang, R., Pan, C., Xie, L.: Application of Doppler radar velocity data in short-term weather forecast. Abstract Ed. Nat. Sci. 2016(01), 228 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xu Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, L., Wang, X., Wang, C., Wang, H. (2022). Retrieval of Small and Medium-Scale Wind Field Based on Doppler Radar. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2021. Lecture Notes in Electrical Engineering, vol 878. Springer, Singapore. https://doi.org/10.1007/978-981-19-0390-8_136

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-0390-8_136

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0389-2

  • Online ISBN: 978-981-19-0390-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics