Zobrazeno 1 - 10
of 674
pro vyhledávání: '"radar echo"'
Publikováno v:
暴雨灾害, Vol 43, Iss 6, Pp 702-712 (2024)
In order to improve the understanding of the characteristics of thunderstorms in Guangxi and better study its forecasting methods, based on the 2022 VLF/LF 3D lightning data and SWAN radar 3D composite data, 1 131 thunderstorm cases were identified a
Externí odkaz:
https://doaj.org/article/16eebde1cdf9459b8a1c6b51e641efb1
Publikováno v:
电力工程技术, Vol 43, Iss 5, Pp 189-198 (2024)
In severe convective weather, transmission lines are prone to lightning strikes, wind swings, rain flashes and other faults that threaten the safe operation of the power grids. To overcome the problem that the existing nowcasting cannot fully meet th
Externí odkaz:
https://doaj.org/article/c93b381ac4c0497ca85fae9ba64eb3e0
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-13 (2024)
Abstract With the advent of Mobile Edge Computing (MEC), shifting data processing from cloud centers to the network edge presents an advanced computational paradigm for addressing latency-sensitive applications. Specifically, in radar systems, the re
Externí odkaz:
https://doaj.org/article/7dc39975a73049e4bb0216a0a3b4de84
Autor:
Chongxing Ji, Yuan Xu
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e36134- (2024)
：Short-term rainfall prediction is a crucial and practical research area, with the accuracy of rainfall prediction, particularly for heavy rainfall, significantly impacting people's lives, property, and even their safety. Existing models, such as C
Externí odkaz:
https://doaj.org/article/719344c8c49a42518483bc11d0efe9c8
Publikováno v:
Gaoyuan qixiang, Vol 43, Iss 1, Pp 166-183 (2024)
Based on conventional observation data， NCEP 1°×1° reanalysis data， hourly and 5min automatic station precipitation data， and CINRAD/CC Doppler radar data in Kunming， three short-time heavy precipitation cases under different influence sys
Externí odkaz:
https://doaj.org/article/f7ca6b8f000f44eaa6a06529ac824910
Publikováno v:
IEEE Access, Vol 12, Pp 59037-59048 (2024)
Radar echo image sequence prediction is a spatial-temporal forecasting problem, which is one of the main challenges in precipitation nowcasting. In response to issues such as poor extraction of spatiotemporal features and blurred prediction of image
Externí odkaz:
https://doaj.org/article/6da7140db7fe44f9b56b95743a801bb2
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10550 (2024)
In response to the shortcomings of current spatiotemporal prediction models, which frequently encounter difficulties in temporal feature extraction and the forecasting of medium to high echo intensity regions over extended sequences, this study prese
Externí odkaz:
https://doaj.org/article/c79754686c344917a026dc453fbde046
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3956 (2024)
Radar echo extrapolation is a critical technique for short-term weather forecasting. Timely warnings of severe convective weather events can be provided according to the extrapolated images. However, traditional echo extrapolation methods fail to ful
Externí odkaz:
https://doaj.org/article/76fcceabf8ad429883a2fcce173154ba
Publikováno v:
Meikuang Anquan, Vol 54, Iss 10, Pp 219-225 (2023)
Borehole rescue technology has been widely used as a new rescue technique for the rapid construction of life way. UWB radar can be used to detect life information under non-visual conditions, but the UWB radar echoes are easily affected by the noise
Externí odkaz:
https://doaj.org/article/c9a29f54314443a2a04448c63222d0a8
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3597 (2024)
Radar echo extrapolation (REE) is a crucial method for convective nowcasting, and current deep learning (DL)-based methods for REE have shown significant potential in severe weather forecasting tasks. Existing DL-based REE methods use extensive histo
Externí odkaz:
https://doaj.org/article/cba623fd2ec1451aac3d78d55b4328ea