Adaptive Dealiasing for Doppler Velocities Scanned from Hurricanes and Typhoons

Author:

Jiang Yuan1,Xu Qin2

Affiliation:

1. National Meteorological Center, China Meteorological Administration, and State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China

2. NOAA/National Severe Storms Laboratory, Norman, Oklahoma

Abstract

AbstractBy fitting a parametric vortex model directly to aliased radar radial velocities scanned from a hurricane, the maximum tangential velocity and its radial distance from the hurricane vortex center can be estimated by the recently developed alias-robust vortex analysis. This vortex analysis can be refined to produce a suitable reference radial velocity field on each tilt of a radar scan for the reference check in the first main step of dealiasing. This paper presents the techniques developed for the refinements and shows how and to what extent the refined vortex analysis can improve the reference check and thus enhance the dealiased data coverage, especially over severely aliased data areas around the vortex core of a hurricane or typhoon. In addition, stringent threshold conditions are used in the reference check and the subsequent continuity check to ensure the accepted data are free of alias or almost so. The robustness and improved performance of the method are exemplified by the results tested with severely aliased radial velocities scanned by operational WSR-88D radars from hurricanes in the United States and by operational China New Generation Weather Radar (CINRAD) base data format SA radars from typhoons in China.

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Dealiasing Scheme of Doppler Radar Velocity Based on Polynomial Fitting;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Doppler Velocity De-Aliasing Based on Lag-1 Cross-Correlation for Dual-Polarization Weather Radar;IEEE Geoscience and Remote Sensing Letters;2024

3. R2D2: A Region-Based Recursive Doppler Dealiasing Algorithm for Operational Weather Radar;Journal of Atmospheric and Oceanic Technology;2020-12

4. An Automated Velocity Dealiasing Scheme for Radar Data Observed from Typhoons and Hurricanes;Journal of Atmospheric and Oceanic Technology;2019-01

5. Mesocyclone-Targeted Doppler Velocity Dealiasing;Journal of Atmospheric and Oceanic Technology;2017-04

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