Convective cells algorithm for storm data tracking
Authors:
- Piotr Szuster,
- Joanna Kołodziej
Abstract
Atmospheric conditions, such as thunderstorms, are significant factors that influence human activity. Harsh weather may severely impact both daily life and pro- fessional activities. Severe thunderstorms are a con- siderable hazard – they can generate heavy rainfall, high winds, large hail and tornadoes. Tracking of thun- derstorms is necessary to gain situational awareness - knowledge of present and future storm-related threats and their corresponding significances. Thunderstorms are weather phenomena associated with cumulonimbus clouds. Those clouds are formed in deep, moist con- vection and are composed of liquid and solid water particles. Weather radars can detect those particles. Cumulonimbus-related particle concentration areas are represented in weather radar data as convective cells, making that measurement technique useful for storm- tracking applications. This paper proposes a new algo- rithm for storm data tracking in the data fusion pro- cess. The algorithm has been tested with real data from the POLRAD weather radar network and upper-air ob- servations. The efficiency of the proposed algorithm has been justified in the empirical analysis. The algorithm projections can help generate weather warnings due to accurate forecasts of storm movement.
- Record ID
- CUT7c1d0cec2ed5408f8bd1dd2db46bd64f
- Publication categories
- ; ;
- Author
- Pages
- 535-541
- Other elements of collation
- il. (w tym kolor.); Bibliografia (na s.) - 540-541; Bibliografia (liczba pozycji) - 14; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Wydaw. wg cop.
- Miejsce wyd. wg siedziby wydaw.
- Book
- Vicario Enrico, Enrico Vicario Bandinelli Romeo, Romeo Bandinelli Fani Virginia Virginia Fani [et al.] (eds.): ECMS 2023 : proceedings of the 37th ECMS International Conference on Modelling and Simulation, June 20th – June 23rd, 2023 Florence, Italy, European Conference for Modelling and Simulation, no. Vol. 37, Iss. 1, 2023, Caserta, ECMS, ISBN 978-3-937436-80-7 (Print)
- Keywords in English
- radar, tracking, weather, thunderstorm, data fusion
- URL
- https://www.scs-europe.net/dlib/dl-index.htm Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Score source
- publisherList
- Score
- Additional fields
- Indeksowana w: CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT7c1d0cec2ed5408f8bd1dd2db46bd64f/
- URN
urn:pkr-prod:CUT7c1d0cec2ed5408f8bd1dd2db46bd64f
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.