Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Yongguang, Zheng"'
Publikováno v:
暴雨灾害, Vol 43, Iss 3, Pp 266-275 (2024)
Atmospheric instability is one of the necessary conditions for the occurrence of severe convective weather, which is characterized by its intricacies. This paper first briefly reviews the air parcel theory and points out its limitations in applicatio
Externí odkaz:
https://doaj.org/article/31cbad41979947d6800004b20e97a527
Autor:
Jinyang Xie, Kanghui Zhou, Haonan Chen, Lei Han, Liang Guan, Maoyu Wang, Yongguang Zheng, Hongjin Chen, Jiaqi Mao
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 11, Pp n/a-n/a (2024)
Abstract Tornadoes, as highly destructive weather events, require accurate detection for effective decision‐making. Traditional radar‐based tornado detection algorithms (TDA) face challenges with limited tornado feature extraction capabilities, l
Externí odkaz:
https://doaj.org/article/2a3065b8b19e4ec2b724efe2b4f3a181
Autor:
Fuyou TIAN, Xiaoling ZHANG, Yancha CAO, Jianhua SUN, Yongguang ZHENG, Xinlin YANG, Xuqing HAN, Zi MAI
Publikováno v:
Gaoyuan qixiang, Vol 41, Iss 6, Pp 1446-1459 (2022)
Accurate forecasting and warning of the short-duration heavy rainfall， thunderstorm-induced strong wind， and hail support the decision making in targeted preventative measures.A full understanding of the environmental characteristics and differen
Externí odkaz:
https://doaj.org/article/9ddd1fc1a962457a9873b23d0bdadfe2
Publikováno v:
暴雨灾害, Vol 40, Iss 1, Pp 27-36 (2021)
The short-duration heavy rainfall observations, the synoptic patterns, the terrain effects, and the environmental conditions for short-duration heavy rainfall occurred during the two extreme torrential rainfall events of 21 July 2012 (shortly for "7.
Externí odkaz:
https://doaj.org/article/1777c317194d4b0b9ab536633b2d94db
Publikováno v:
Atmosphere, Vol 13, Iss 7, p 1074 (2022)
Highly convection-related short-duration heavy rainfall (SDHR), defined as rainfall greater than 20 mm h−1 of a whole hour, causes severe damage every year in China. An objective forecasting method is developed to provide guidance products for the
Externí odkaz:
https://doaj.org/article/dbc91a97df404704a18af13ed1397e6a
Publikováno v:
Advances in Atmospheric Sciences. 39:1472-1486
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bcbe8e6e6b6cf0fefab4acc31cb8734
https://doi.org/10.1007/s00376-021-1207-7
https://doi.org/10.1007/s00376-021-1207-7
Publikováno v:
Theoretical and Applied Climatology. 148:1373-1394
Located in the eastern edge of the Sichuan Basin (SCB) in the southwest China, Chongqing is a mountainous region with typical complex topographic features. Using the hourly rainfall observation data of high-density 1686 meteorological stations in Cho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5199748f46ccb6d8d9595ea6e10efee9
https://doi.org/10.1007/s00704-021-03918-0
https://doi.org/10.1007/s00704-021-03918-0
Publikováno v:
Reviews on Advanced Materials Science, Vol 60, Iss 1, Pp 92-111 (2021)
It is needed to join C/C composite to other materials since its individual use is limited. Brazing is a method to join C/C composite that has been studied most, maturest and most widely used in recent decades. The quality of a brazed joint is largely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4bee78f24c92248adf036d2f49dd937
https://doaj.org/article/e778f8087ecd4bc7bf0bbfd94658ec3d
https://doaj.org/article/e778f8087ecd4bc7bf0bbfd94658ec3d
Autor:
Yuanchun Zhang, Kanghui Zhou, Xinlin Yang, Xiaoling Zhang, Yongguang Zheng, Ruoyun Ma, Xuqing Han, Jianhua Sun
Publikováno v:
Journal of Meteorological Research. 34:699-719
Located in the Asian monsoon region, China frequently experiences severe convective weather (SCW), such as short-duration heavy rainfall (SDHR), thunderstorm high winds, hails, and occasional tornadoes. Progress in SCW forecasting in China is closely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3458130d07c90b7e503e7643829c627
https://doi.org/10.1007/s13351-020-9146-2
https://doi.org/10.1007/s13351-020-9146-2
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 37:927-942
Precise and timely lightning nowcasting is still a great challenge for meteorologists. In this study, a new semantic segmentation deep learning network for cloud-to-ground (CG) lightning nowcasting, named LightningNet, has been developed. This networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf2341766f18e32773489d86e4409995
https://doi.org/10.1175/jtech-d-19-0146.1
https://doi.org/10.1175/jtech-d-19-0146.1