A Dealiasing Scheme of Doppler Radar Velocity Based on Polynomial Fitting-Reference-Cited by-同舟云学术

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A Dealiasing Scheme of Doppler Radar Velocity Based on Polynomial Fitting

Published:2024 Issue: Volume:62 Page:1-10
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zou Haibo¹^ORCID,Liang Xudong²,Wu Shanshan³,Yin Jinfang⁴^ORCID

Affiliation:

1. Key Laboratory of Poyang Lake Wetland and the Key Laboratory of Natural Disaster Monitoring, School of Geography and Environmental Science, Early Warning and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang, China

2. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences (CAMS), Beijing, China

3. Jiangxi Climate Center, Nanchang, China

4. State Key Laboratory of Severe Weather, CAMS, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi, China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10483108.pdf?arnumber=10483108

Reference37 articles.

1. Two-Dimensional Dealiasing of Doppler Velocities

2. UNRAVEL: A Robust Modular Velocity Dealiasing Technique for Doppler Radar

3. A Deep Learning–Based Velocity Dealiasing Algorithm Derived from the WSR-88D Open Radar Product Generator

4. A VAD-Based Dealiasing Method for Radar Velocity Data Quality Control

5. An Automated 2D Multipass Doppler Radar Velocity Dealiasing Scheme

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