Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Zepeng TONG"'
Autor:
Yufei JIANG, Lianmei YANG, Jiangang LI, Yong ZENG, Zepeng TONG, Jing LIU, Haoyang LI, Xiaomeng LI
Publikováno v:
Gaoyuan qixiang, Vol 43, Iss 5, Pp 1271-1285 (2024)
Raindrop size distribution （RSD） is fundamental in understanding the precipitation microphysics and quantitative precipitation estimation， especially in complex terrain with complicated rainfall mechanism and high spatial and temporal variabili
Externí odkaz:
https://doaj.org/article/ee380847586740349d60086d217edfef
Autor:
Yong Zeng, Lianmei Yang, Zepeng Tong, Yufei Jiang, Abuduwaili Abulikemu, Xinyu Lu, Xiaomeng Li
Publikováno v:
Remote Sensing, Vol 16, Iss 20, p 3859 (2024)
Raindrop size distribution (DSD) has an essential effect on rainfall kinetic energy estimation (RKEE) and dual-polarization radar quantitative precipitation estimation (QPE); DSD is a key factor for establishing a dual-polarization radar QPE scheme a
Externí odkaz:
https://doaj.org/article/43b129c7fa6441e89202858bad29c30b
Autor:
Yong Zeng, Lianmei Yang, Zepeng Tong, Yufei Jiang, Yushu Zhou, Xinyu Lu, Abuduwaili Abulikemu, Jiangang Li
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2803 (2024)
In order to deepen the knowledge of the seasonal variation in total cloud cover (TCC) in Xinjiang, China (XJ), a typical arid region, and to broaden the understanding of the seasonal variation in cloud type (CLT) in the region, we used TCC and CLT da
Externí odkaz:
https://doaj.org/article/a1a231e701654a56869c5c006ce77666
Publikováno v:
Advances in Meteorology, Vol 2024 (2024)
The spatial distribution of precipitation in Xinjiang, China, is extremely heterogeneous due to its complex subsurface, and microphysical studies of cloud precipitation over Xinjiang are severely constrained by observational means. The Global Precipi
Externí odkaz:
https://doaj.org/article/3f6aded04bbb40b8bd9e81dda074b5c4
Publikováno v:
Advances in Meteorology, Vol 2024 (2024)
The diurnal variation characteristics of raindrop size distribution (RSD) in the Ili River Valley are investigated in this study, using the RSD data from May to September during 2020-2021 collected by a Parsivel2 disdrometer in Zhaosu. Significant di
Externí odkaz:
https://doaj.org/article/df0ce43063b34323a795986ede63eb17
Autor:
Yong Zeng, Jiangang Li, Lianmei Yang, Haoyang Li, Xiaomeng Li, Zepeng Tong, Yufei Jiang, Jing Liu, Jinru Zhang, Yushu Zhou
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2668 (2023)
In order to improve the understanding of the microphysical characteristics of raindrop size distribution (DSD) under different rainfall rates (R) classes, and broaden the knowledge of the impact of radar wavelengths and R classes on the QPE of dual-p
Externí odkaz:
https://doaj.org/article/340132f0ab66426fb1e2a625d37361e2
Autor:
Yufei Jiang, Lianmei Yang, Yong Zeng, Zepeng Tong, Jiangang Li, Fan Liu, Jinru Zhang, Jin Liu
Publikováno v:
Meteorological Applications, Vol 29, Iss 3, Pp n/a-n/a (2022)
Abstract The microphysical processes of cloud and precipitation in the Tianshan Mountains still remain unclear due to the complex terrain and the lack of ground‐based observational data. In this study, the characteristics of summer raindrop size di
Externí odkaz:
https://doaj.org/article/50d3fb99247b4365b1f9476fc7c32c32
Autor:
Zepeng Tong, Yan Sun
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/cfbac9d2e5874ab89d17ade70a3a2320
Publikováno v:
Global Ecology and Conservation, Vol 33, Iss , Pp e01997- (2022)
Since illegal wildlife trade poses challenges to biodiversity and public security, improving people’s wildlife conservation through environmental education has become an important issue. This study analyzes the intervention effect of labeling in wi
Externí odkaz:
https://doaj.org/article/81ee7d318c68429c828ebf4d9f9614c0
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3988 (2022)
The summer season raindrop size distribution (DSD) characteristics and their important applications, based on a PARSIVEL2 disdrometer installed in Zhaosu over the western Tianshan Mountains, China, in 2020–2021 are studied. Our analysis reveals tha
Externí odkaz:
https://doaj.org/article/d8a2fc73ef8946d5a7b1202eb33c5f66