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Atmosphere
Special Issues
Weather Radar Applications on Meteorology and Hydrology in East Asia
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Weather Radar Applications on Meteorology and Hydrology in East Asia

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 5888

Special Issue Editors

Prof. Dr. Dong-In Lee

E-Mail Website
Guest Editor
Department of Environmental Atmospheric Sciences, Pukyong National University, Busan 48513, Republic of Korea
Interests: radar meteorology; cloud and precipitation; high-impact weather; radar nowcasting; radar wind field retrieval and analyses; field observation
Special Issues, Collections and Topics in MDPI journals
Dr. Cheol-Hwan You

E-Mail Website
Guest Editor
Atmospheric and Environmental Research Institute, Pukyong National University, Busan, Korea
Interests: weather radar data quality control; radar rainfall estimation; nowcasting; high-impact weather; drop size distributions

Special Issue Information

Dear Colleagues,

There have been many natural disasters caused by high-impact weather such as torrential rainfall, hail, tornadoes, and typhoons as climate change progresses around the world. Frontal systems (Changma, Baiu and Meiyu front), typhoons, and tornadoes in some countries are becoming increasingly severe, especially in East Asia. Complex terrain plays an important role in these systems’ development and enhancement in that area.

Weather radars (Doppler, polarimetric, phased array, etc.) have been crucial instruments for monitoring chaff diffusion, precipitation, winds, and forecasting high-impact weather systems with higher spatial and temporal resolution than other remote sensing equipment. Polarimetric capabilities help to understand the microphysical characteristics of precipitation systems and improve radar quantitative precipitation estimation/forecasting.

The goal of this Special Issue is to share the recent achievements in various applications using operational or research radar data, such as field observation campaigns, rainfall estimates, chaff diffusion in clear sky, nowcasting of precipitation, microphysical features of precipitation systems, hydrological modeling, and forecasting in East Asia using Doppler radar and polarimetric radar. We encourage contributions on the current state-of-the-art in the field, including challenges and discussions toward better utilization of radar data.

We invite manuscripts on the following topics:

  • Field observation campaigns;
  • Radar data quality control;
  • Quantitative precipitation estimation;
  • Wind field retrieval and analyses;
  • Short-term range forecast of precipitation;
  • Assimilation of radar data into NWP;
  • Orographic precipitation;
  • Hydrological applications using weather radar;
  • High-impact weather such as hail, tornadoes, typhoons, and lightning;
  • Atmospheric diffusion by chaff experiments.

Prof. Dong-In Lee
Dr. Cheol-Hwan You
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • weather radar quality control algorithm
  • quantitative precipitation estimation and forecasting
  • microphysical characteristics of precipitation
  • polarimetric and phased array radar applications
  • field observational campaign of high impact weather
  • development mechanism of frontal systems (Changma, Baiu and Meiyu) and typhoons
  • radar wind field retrieval and analyses
  • chaff diffusion analyses by radars
  • …

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Published Papers (2 papers)

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Research

19 pages, 9827 KiB  
Article
An Automatic Recognition Method for Airflow Field Structures of Convective Systems Based on Single Doppler Radar Data
by Ping Wang, Kai Gu, Jinyi Hou and Bingjie Dou
Atmosphere 2020, 11(2), 142; https://doi.org/10.3390/atmos11020142 - 27 Jan 2020
Cited by 2 | Viewed by 2523
Abstract
Airflow structures within convective systems are important predictors of damaging convective disasters. To automatically recognize different kinds of airflow structures (the convergence, divergence, cyclonic rotation, and anticyclonic rotation) within convective systems, an airflow structure recognition method is proposed, in this paper, based on [...] Read more.
Airflow structures within convective systems are important predictors of damaging convective disasters. To automatically recognize different kinds of airflow structures (the convergence, divergence, cyclonic rotation, and anticyclonic rotation) within convective systems, an airflow structure recognition method is proposed, in this paper, based on a regular hexagonal template. On the basis of single Doppler radar data, the template is designed according to the appearance model of airflows in radial velocity maps. The proposed method is able to output types and intensities of airflow structures within convective systems. In addition, the outputs of the proposed method are integrated into a projection map of the airflow field structure types and intensities (PMAFSTI), which is developed in this work to visualize three-dimensional airflow structures within convective cells. The proposed airflow structure automatic recognition method and the PMAFSTI were tested using three typical cases. Results of the tests suggest the following: (1) At different evolution stages of the convective systems, e.g., growth, split, and dissipation, the three-dimensional distribution of the airflow fields within convective systems could be clearly observed through the PMAFSTI and (2) on the basis of recognizing the structures of the airflow field, the complex airflow field, such as a squall line, could be further divided into several small parts making the analysis of convective systems more scientific and elaborate. Full article
(This article belongs to the Special Issue Weather Radar Applications on Meteorology and Hydrology in East Asia)
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18 pages, 7358 KiB  
Article
Rainfall Estimates with Respect to Rainfall Types Using S-Band Polarimetric Radar in Korea
by Cheolhwan You, Miyoung Kang and Dong-In Lee
Atmosphere 2019, 10(12), 773; https://doi.org/10.3390/atmos10120773 - 3 Dec 2019
Cited by 4 | Viewed by 2676
Abstract
To investigate the impact of rainfall type on rainfall estimation using polarimetric variables, rainfall relations such as those between rain rate (R) and specific differential phase (KDP), between R and KDP/differential reflectivity (ZDR), and between R and [...] Read more.
To investigate the impact of rainfall type on rainfall estimation using polarimetric variables, rainfall relations such as those between rain rate (R) and specific differential phase (KDP), between R and KDP/differential reflectivity (ZDR), and between R and reflectivity (Z)/ZDR, were examined with respect to the precipitation type classified using drop size distributions (DSDs) measured by a disdrometer. The classification of rainfall type was assessed using four different methods: temporal rainfall variation; and the relations between intercept parameter (N0) and R; normalized intercept parameter (Nw) and median diameter (D0); and slope parameter (Λ) and R. The logN0–R relation discriminated between convective and stratiform rain with less standard deviation than the other methods as shown by the Z–ZDR scatter with respect to the rainfall types. The transition type from convective to stratiform and vice versa occurred in the stratiform rain region for all methods. To apply the classified rainfall relations to radar rainfall estimation, logNw and D0 were retrieved from polarimetric variables to discriminate the rainfall types in the radar domain. The DSD classification was verified with the vertical profile of reflectivity extracted at two positions corresponding to gage sites. Statistical analysis of four different rainfall events showed that rainfall estimation using the relations with precipitation type were better than those obtained without classification. The R(KDP,ZDR) relation with classification performed best on rainfall estimation for all rainfall events. The greatest improvement in rainfall estimation was obtained from R(Z,ZDR) with classification. We conclude that the classification of rainfall type leads to more accurate rainfall estimation. The different relations R(KDP), R(KDP,ZDR), and R(Z,ZDR) with respect to the rain types using polarimetric radar show improvement compared to estimation without consideration of rainfall type, in Korea. Full article
(This article belongs to the Special Issue Weather Radar Applications on Meteorology and Hydrology in East Asia)
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