Comparison of single-Doppler and multiple-Doppler wind retrievals in Hurricane Matthew (2016)

<p>Hurricane Matthew (2016) was observed by the ground-based polarimetric Next Generation Weather Radar (NEXRAD) in Miami (KAMX) and the National Oceanic and Atmospheric Administration WP-3D (NOAA P-3) airborne tail Doppler radar near the coast of the southeastern United States for several hou...

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Main Authors: T.-Y. Cha, M. M. Bell
Format: Article
Language:English
Published: Copernicus Publications 2021-05-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/14/3523/2021/amt-14-3523-2021.pdf
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spelling doaj-095718c4fd8b42a0a1aa08f8d1dcbfd42021-05-18T09:53:17ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482021-05-01143523353910.5194/amt-14-3523-2021Comparison of single-Doppler and multiple-Doppler wind retrievals in Hurricane Matthew (2016)T.-Y. ChaM. M. Bell<p>Hurricane Matthew (2016) was observed by the ground-based polarimetric Next Generation Weather Radar (NEXRAD) in Miami (KAMX) and the National Oceanic and Atmospheric Administration WP-3D (NOAA P-3) airborne tail Doppler radar near the coast of the southeastern United States for several hours, providing a novel opportunity to evaluate and compare single- and multiple-Doppler wind retrieval techniques for tropical cyclone flows. The generalized velocity track display (GVTD) technique can retrieve a subset of the wind field from a single ground-based Doppler radar under the assumption of nearly axisymmetric rotational wind, but it has been shown to have errors from the aliasing of unresolved wind components. An improved technique that mitigates errors due to storm motion is derived in this study, although some spatial aliasing remains due to limited information content from the single-Doppler measurements. A spline-based variational wind retrieval technique called SAMURAI can retrieve the full three-dimensional wind field from airborne radar fore–aft pseudo-dual-Doppler scanning, but it has been shown to have errors due to temporal aliasing from the nonsimultaneous Doppler measurements. A comparison between the two techniques shows that the axisymmetric tangential winds are generally comparable between the two techniques, and the improved GVTD technique improves the accuracy of the retrieval. Fourier decomposition of asymmetric kinematic and convective structure shows more discrepancies due to spatial and temporal aliasing in the retrievals. The strengths and weaknesses of each technique for studying tropical cyclone structure are discussed and suggest that complementary information can be retrieved from both single- and dual-Doppler retrievals. Future improvements to the asymmetric flow assumptions in single-Doppler analysis and steady-state assumptions in pseudo-dual-Doppler analysis are required to reconcile differences in retrieved tropical cyclone structure.</p>https://amt.copernicus.org/articles/14/3523/2021/amt-14-3523-2021.pdf
collection DOAJ
language English
format Article
sources DOAJ
author T.-Y. Cha
M. M. Bell
spellingShingle T.-Y. Cha
M. M. Bell
Comparison of single-Doppler and multiple-Doppler wind retrievals in Hurricane Matthew (2016)
Atmospheric Measurement Techniques
author_facet T.-Y. Cha
M. M. Bell
author_sort T.-Y. Cha
title Comparison of single-Doppler and multiple-Doppler wind retrievals in Hurricane Matthew (2016)
title_short Comparison of single-Doppler and multiple-Doppler wind retrievals in Hurricane Matthew (2016)
title_full Comparison of single-Doppler and multiple-Doppler wind retrievals in Hurricane Matthew (2016)
title_fullStr Comparison of single-Doppler and multiple-Doppler wind retrievals in Hurricane Matthew (2016)
title_full_unstemmed Comparison of single-Doppler and multiple-Doppler wind retrievals in Hurricane Matthew (2016)
title_sort comparison of single-doppler and multiple-doppler wind retrievals in hurricane matthew (2016)
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2021-05-01
description <p>Hurricane Matthew (2016) was observed by the ground-based polarimetric Next Generation Weather Radar (NEXRAD) in Miami (KAMX) and the National Oceanic and Atmospheric Administration WP-3D (NOAA P-3) airborne tail Doppler radar near the coast of the southeastern United States for several hours, providing a novel opportunity to evaluate and compare single- and multiple-Doppler wind retrieval techniques for tropical cyclone flows. The generalized velocity track display (GVTD) technique can retrieve a subset of the wind field from a single ground-based Doppler radar under the assumption of nearly axisymmetric rotational wind, but it has been shown to have errors from the aliasing of unresolved wind components. An improved technique that mitigates errors due to storm motion is derived in this study, although some spatial aliasing remains due to limited information content from the single-Doppler measurements. A spline-based variational wind retrieval technique called SAMURAI can retrieve the full three-dimensional wind field from airborne radar fore–aft pseudo-dual-Doppler scanning, but it has been shown to have errors due to temporal aliasing from the nonsimultaneous Doppler measurements. A comparison between the two techniques shows that the axisymmetric tangential winds are generally comparable between the two techniques, and the improved GVTD technique improves the accuracy of the retrieval. Fourier decomposition of asymmetric kinematic and convective structure shows more discrepancies due to spatial and temporal aliasing in the retrievals. The strengths and weaknesses of each technique for studying tropical cyclone structure are discussed and suggest that complementary information can be retrieved from both single- and dual-Doppler retrievals. Future improvements to the asymmetric flow assumptions in single-Doppler analysis and steady-state assumptions in pseudo-dual-Doppler analysis are required to reconcile differences in retrieved tropical cyclone structure.</p>
url https://amt.copernicus.org/articles/14/3523/2021/amt-14-3523-2021.pdf
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