An Editorial for the Special Issue “Processing and Application of Weather Radar Data”-Reference-Cited by-同舟云学术

An Editorial for the Special Issue “Processing and Application of Weather Radar Data”

Published:2024-05-30 Issue:11 Volume:16 Page:1967
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Qi Youcun¹^ORCID,Zhang Zhe²,Zhao Zhanfeng¹^ORCID,Seo Bong-Chul³^ORCID,Li Huiqi⁴

Affiliation:

1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

2. Shenzhen National Climate Observatory, Shenzhen 518040, China

3. Department of Civil, Architectural, and Environmental Engineering, Missouri University of Science and Technology, 229 Butler-Carlton Hall, 1401 N. Pine St., Rolla, MO 65409, USA

4. Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510641, China

Abstract

In 2019, the World Meteorological Organization (WMO) pointed out the following based on the statistics from 2007 to 2019: in natural disasters, 90% of losses are related to meteorology, of which heavy storms and floods account for more than 70% [...]

Funder

Shenzhen Science and Technology Program

Key Laboratory of Atmospheric Sounding of China Meteorological Administration

National Key Research and Development Project

Hainan Key Research and Development Project

Anyang Key Research and Development Project

National Natural Science Foundation of China

Publisher

MDPI AG

Link

https://www.mdpi.com/2072-4292/16/11/1967/pdf

Reference19 articles.

1. A Real-Time Automated Convective and Stratiform Precipitation Segregation Algorithm in Native Radar Coordinates;Qi;Q. J. R. Meteorol. Soc.,2013

2. Can CINRAD Radar With VCP-21 Mode Capture the Accumulated Rainfall Pattern and Intensity of Fast-Moving Storms?;Yang;IEEE Trans. Geosci. Remote Sens.,2024

3. Zhang, Z., Li, H., Li, D., and Qi, Y. (2023). Spatial Variability of Raindrop Size Distribution at Beijing City Scale and Its Implications for Polarimetric Radar QPE. Remote Sens., 15.

4. Particle Size Distribution Characteristics Within Different Regions of Mature Squall-Line Based on the Analysis of Global Precipitation Measurement Dual-Frequency Precipitation Radar Retrieval;Zhu;IEEE Geosci. Remote Sens. Lett.,2020

5. Chang, Y., Chen, H., Huang, X., Bi, Y., Duan, S., Wang, P., and Liu, J. (2023). Correction for the Attenuation Due to Atmospheric Gas and Stratiform Clouds in Triple-Frequency Radar Observations of the Microphysical Properties of Snowfall. Remote Sens., 15.