Using Multi-Source data to Remove Non-Precipitation Echoes in Weather Radar Data-Reference-Cited by-同舟云学术

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Using Multi-Source data to Remove Non-Precipitation Echoes in Weather Radar Data

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Guo Xuehong¹,Zhang Lejian²,Chen Yubao²,Han Lei¹,Ge Yurong¹,Sha Yizhuo³

Affiliation:

1. College of Information Science and Engineering, Ocean University of China,Qingdao,China

2. Meteorological Observation Centre, China Meteorological Administration,Beijing,China

3. Beijing Xiangyuan Academy of Meteorological observing technology,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884856.pdf?arnumber=9884856

Reference10 articles.

1. A Fuzzy Logic Algorithm for the Separation of Precipitating from Nonprecipitating Echoes Using Polarimetric Radar Observations

2. Use of Three-Dimensional Reflectivity Structure for Automated Detection and Removal of Nonprecipitating Echoes in Radar Data

3. Combining Radar Attenuation and Partial Beam Blockage Corrections for Improved Quantitative Application

4. A Physically Based Precipitation–Nonprecipitation Radar Echo Classifier Using Polarimetric and Environmental Data in a Real-Time National System

5. Quality Control of Weather Radar Data Using Polarimetric Variables

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