Performance Analysis of the Wind Field Estimation for a Very Fast Scanning Weather Radar

Twori Dash; Oleg A. Krasnov; Alexander G. Yarovoy

Performance Analysis of the Wind Field Estimation for a Very Fast Scanning Weather Radar

Twori Dash, Oleg A. Krasnov, Alexander G. Yarovoy

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

The performance and limitations of the Doppler processing of the scattered signals from extended meteorological objects (precipitation) are analysed in the case of radar with fast azimuthal scanning. The classical method of the Discrete Fourier Transform (DFT) has been applied to simulated weather radar signals to estimate the Doppler velocity spectrum and characterise it with the mean Doppler velocity and the Doppler spectrum width. The accuracy and resolution of these estimations have been analysed as a function of the scanning radar rotation speed. Finally, the performances of the 2D wind field retrieval are analysed in relation to the accuracy and resolution of Doppler spectra estimations. The wind field retrieval has been done using the classical velocity azimuthal display (VAD) retrieval technique that gives an overall/average estimate of the wind field over an observation region. A few possible approaches for improving the accuracy and resolution of a fast scanning weather radar Doppler signal processing are proposed and analysed based on simulated scanning radar data.

Original language	English
Title of host publication	Proceedings of the 2022 23rd International Radar Symposium (IRS)
Publisher	IEEE
Pages	420-425
Number of pages	6
ISBN (Electronic)	978-83-956020-5-4
ISBN (Print)	978-1-6654-6630-1
Publication status	Published - 2022
Event	2022 23rd International Radar Symposium (IRS) - Gdansk, Poland Duration: 12 Sept 2022 → 14 Sept 2022

Conference

Conference	2022 23rd International Radar Symposium (IRS)
Country/Territory	Poland
City	Gdansk
Period	12/09/22 → 14/09/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Weather radars
Doppler processing
DFT
VAD

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Performance_Analysis_of_the_Wind_Field_Estimation_for_a_Very_Fast_Scanning_Weather_RadarFinal published version, 1.12 MB

https://ieeexplore.ieee.org/document/9905006

Cite this

@inproceedings{b6e24e458a914121b3602daea668add4,

title = "Performance Analysis of the Wind Field Estimation for a Very Fast Scanning Weather Radar",

abstract = "The performance and limitations of the Doppler processing of the scattered signals from extended meteorological objects (precipitation) are analysed in the case of radar with fast azimuthal scanning. The classical method of the Discrete Fourier Transform (DFT) has been applied to simulated weather radar signals to estimate the Doppler velocity spectrum and characterise it with the mean Doppler velocity and the Doppler spectrum width. The accuracy and resolution of these estimations have been analysed as a function of the scanning radar rotation speed. Finally, the performances of the 2D wind field retrieval are analysed in relation to the accuracy and resolution of Doppler spectra estimations. The wind field retrieval has been done using the classical velocity azimuthal display (VAD) retrieval technique that gives an overall/average estimate of the wind field over an observation region. A few possible approaches for improving the accuracy and resolution of a fast scanning weather radar Doppler signal processing are proposed and analysed based on simulated scanning radar data.",

keywords = "Weather radars, Doppler processing, DFT, VAD",

author = "Twori Dash and Krasnov, {Oleg A.} and Yarovoy, {Alexander G.}",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2022 23rd International Radar Symposium (IRS) ; Conference date: 12-09-2022 Through 14-09-2022",

year = "2022",

language = "English",

isbn = "978-1-6654-6630-1",

pages = "420--425",

booktitle = "Proceedings of the 2022 23rd International Radar Symposium (IRS)",

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address = "United States",

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TY - GEN

T1 - Performance Analysis of the Wind Field Estimation for a Very Fast Scanning Weather Radar

AU - Dash, Twori

AU - Krasnov, Oleg A.

AU - Yarovoy, Alexander G.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2022

Y1 - 2022

N2 - The performance and limitations of the Doppler processing of the scattered signals from extended meteorological objects (precipitation) are analysed in the case of radar with fast azimuthal scanning. The classical method of the Discrete Fourier Transform (DFT) has been applied to simulated weather radar signals to estimate the Doppler velocity spectrum and characterise it with the mean Doppler velocity and the Doppler spectrum width. The accuracy and resolution of these estimations have been analysed as a function of the scanning radar rotation speed. Finally, the performances of the 2D wind field retrieval are analysed in relation to the accuracy and resolution of Doppler spectra estimations. The wind field retrieval has been done using the classical velocity azimuthal display (VAD) retrieval technique that gives an overall/average estimate of the wind field over an observation region. A few possible approaches for improving the accuracy and resolution of a fast scanning weather radar Doppler signal processing are proposed and analysed based on simulated scanning radar data.

AB - The performance and limitations of the Doppler processing of the scattered signals from extended meteorological objects (precipitation) are analysed in the case of radar with fast azimuthal scanning. The classical method of the Discrete Fourier Transform (DFT) has been applied to simulated weather radar signals to estimate the Doppler velocity spectrum and characterise it with the mean Doppler velocity and the Doppler spectrum width. The accuracy and resolution of these estimations have been analysed as a function of the scanning radar rotation speed. Finally, the performances of the 2D wind field retrieval are analysed in relation to the accuracy and resolution of Doppler spectra estimations. The wind field retrieval has been done using the classical velocity azimuthal display (VAD) retrieval technique that gives an overall/average estimate of the wind field over an observation region. A few possible approaches for improving the accuracy and resolution of a fast scanning weather radar Doppler signal processing are proposed and analysed based on simulated scanning radar data.

KW - Weather radars

KW - Doppler processing

KW - DFT

KW - VAD

M3 - Conference contribution

SN - 978-1-6654-6630-1

SP - 420

EP - 425

BT - Proceedings of the 2022 23rd International Radar Symposium (IRS)

PB - IEEE

T2 - 2022 23rd International Radar Symposium (IRS)

Y2 - 12 September 2022 through 14 September 2022

ER -

Performance Analysis of the Wind Field Estimation for a Very Fast Scanning Weather Radar

Abstract

Conference

Bibliographical note

Keywords

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