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Atmosphere
Special Issues
Application of Doppler Radar in Severe Weather Forecast
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Application of Doppler Radar in Severe Weather Forecast

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

Deadline for manuscript submissions: closed (26 September 2023) | Viewed by 2120

Special Issue Editor

Dr. Jiaxi Hu

E-Mail Website
Guest Editor
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK 73019, USA
Interests: cloud microphysics; radar meteorology; severe weather forecast; numerical modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The scope of this Special Issue is to discuss the application of Doppler radar in severe weather forecasting. This Special Issue will cover the basic principles of Doppler radar, including how it works, what it measures, and the various types of data it can provide. The Special Issue will also discuss the specific applications of Doppler radar in severe weather forecasting, such as detecting and tracking severe thunderstorms, tornadoes, and other severe weather events.

The Special Issue will explore the advantages of Doppler radar over traditional radar technology and how it has revolutionized severe weather forecasting in recent years. The Special Issue will also examine the limitations of Doppler radar, including the challenges associated with interpreting radar data and the potential for false alarms.

The Special Issue will provide an overview of the technology used in Doppler radar systems, including the hardware and software components. The Special Issue will also discuss the different types of Doppler radar systems, including stationary and mobile systems.

Finally, the Special Issue will examine the future of Doppler radar technology and its potential to improve severe weather forecasting. The Special Issue will discuss emerging technologies, such as dual-polarization radar and phased array radar, and how they may enhance Doppler radar's ability to detect and track severe weather events.

Overall, this Special Issue will provide a comprehensive overview of the application of Doppler radar in severe weather forecasting and its potential to improve our ability to predict and prepare for severe weather events.

Dr. Jiaxi Hu
Guest Editor

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

  • dual polarimetric application
  • severe weather forecast
  • cell tracking

Published Papers (2 papers)

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Research

13 pages, 15476 KiB  
Article
Operational Assessment of High Resolution Weather Radar Based Precipitation Nowcasting System
by Bibraj Raj, Swaroop Sahoo, N. Puviarasan and V. Chandrasekar
Atmosphere 2024, 15(2), 154; https://doi.org/10.3390/atmos15020154 - 25 Jan 2024
Cited by 1 | Viewed by 976
Abstract
North East Monsoon (NEM) is the major source of rainfall for the south-eastern parts of peninsular India. Short time rainfall prediction data (i.e., nowcasting) are based on the observations from Doppler weather radars which has a high spatial and temporal resolution. This study [...] Read more.
North East Monsoon (NEM) is the major source of rainfall for the south-eastern parts of peninsular India. Short time rainfall prediction data (i.e., nowcasting) are based on the observations from Doppler weather radars which has a high spatial and temporal resolution. This study focuses on the short-term ensemble prediction system using weather radar data to predict precipitation during the NEM and is the first of its kind in the Indian region to make an assessment of the operational performance of the prediction system. Six rainfall events have been studied for the assessment of short-term prediction system where the precipitation systems are different and include a tropical storm observed over different days during the 2022 NEM season. To assess the performance of the system, Fractional Skill Scores (FSS) at a 1 km window have been computed for a lead time of 0–2 h for all the rainfall events with more than 750 samples using different optical flow methods and ensemble sizes. The best average skill score and maximum skill score obtained at a 2 h lead time is 0.65 and 0.78 for tropical storms, 0.5 and 0.78 for stratiform and 0.15 and 0.38 for convective precipitation. It has found that the performance of the model is best for precipitation systems that are widespread and have a longer life period. Full article
(This article belongs to the Special Issue Application of Doppler Radar in Severe Weather Forecast)
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17 pages, 18258 KiB  
Article
Refractivity Observations from Radar Phase Measurements: The 22 May 2002 Dryline Case during IHOP Project
by Rubén Nocelo López, Verónica Santalla del Rio and Brais Sánchez-Rama
Atmosphere 2024, 15(1), 33; https://doi.org/10.3390/atmos15010033 - 27 Dec 2023
Viewed by 729
Abstract
The dryline, often associated with the development of severe storms in the Southern Great Plains of the United States of America, is a boundary layer phenomenon that occurs when a warm and moist air mass from the Gulf of Mexico meets a hot [...] Read more.
The dryline, often associated with the development of severe storms in the Southern Great Plains of the United States of America, is a boundary layer phenomenon that occurs when a warm and moist air mass from the Gulf of Mexico meets a hot and dry air mass from the southwest desert area. An accurate knowledge of the water vapor spatio-temporal variability in the lower part of the atmosphere is crucial for a better understanding of the evolution of the dryline. The tropospheric refractivity, directly related to water vapor content, is a proxy for the water vapor content of the troposphere. It has already been demonstrated that the refractivity and the refractivity vertical gradient can be jointly estimated from radar phase measurements. In fact, it has been shown that using kriging interpolation techniques, accurate refractivity maps within the coverage area of the radar can be obtained with high temporal resolution. In this paper, a detailed analysis of the time series of radar-based refractivity maps obtained during a dryline that occurred on the afternoon of 22 May 2002 during the International H2O Project (IHOP_2002) is presented. Comparisons between the time series of radar refractivity maps, obtained with the NCAR S-Pol radar, and the refractivity measurements derived from automatic ground-based weather stations and the AERI instrument, placed at different locations within the coverage area of the NCAR S-Pol radar, demonstrate the accuracy of radar refractivity estimates even for highly variable conditions, both in time and space, in the troposphere. Correlation coefficients higher than 0.95 are obtained in all weather station locations. Regarding the RMSE, errors less than 6 N-units are obtained for all cases, being even as low as 2.92 N-units at some locations. Full article
(This article belongs to the Special Issue Application of Doppler Radar in Severe Weather Forecast)
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