Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Enrong ZHAO"'
Publikováno v:
暴雨灾害, Vol 43, Iss 6, Pp 680-692 (2024)
In February 2024, Hunan encountered two regional rainfall/snowfall and freezing events with low temperatures, one in northern Hunan from February 2 to 6 (hereinafter referred to as the“2.02”event), and the other across the whole province from Feb
Externí odkaz:
https://doaj.org/article/bce2722382ef450b8aa130477399aec1
Publikováno v:
Journal of Water and Climate Change, Vol 15, Iss 1, Pp 192-208 (2024)
Based on the daily precipitation data and ERA5 reanalysis data of 40 years from 1981 to 2018 in the middle Yangtze River Valley (MYRV), the climatic characteristics of extreme precipitation are analyzed using statistical methods. The multivariate emp
Externí odkaz:
https://doaj.org/article/a25abb4433294ed284ded748193025f7
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 10, Pp 3399-3416 (2023)
Using meteorological analysis, composite analysis and water vapor trajectory analysis, the extreme value rainstorm process in northwest Hunan was analyzed. The results show that three types are summarized: the Southwest Vortex and Warm Shear Line Pat
Externí odkaz:
https://doaj.org/article/49edc73aae174424bcf121e2f8cab2e5
Publikováno v:
Atmospheric Science Letters, Vol 25, Iss 3, Pp n/a-n/a (2024)
Abstract In early 2022, there were four low‐temperature weather processes with rain and snow in Hunan Province, China. Two processes occurred on January 28–29 (referred to as the “0128” process) and February 6–7 (referred to as the “0206
Externí odkaz:
https://doaj.org/article/25487ae0834944399c9a6475d4c169e0
Publikováno v:
Advances in Meteorology, Vol 2023 (2023)
Due to the unique topography and geographical location, severe snowfall is the main disastrous weather in winter in the Hunan Province of China. Based on the daily precipitation data in Hunan Province from 1961 to 2021, the regional heavy snowfall pr
Externí odkaz:
https://doaj.org/article/71d48aa514eb4a0d972bdda296cf4a16
Publikováno v:
Advances in Meteorology, Vol 2022 (2022)
Based on conventional observation data from the China Meteorological Administration (CMA) and reanalysis data from the American National Centers for Environmental Prediction and National Center for Atmospheric Research (NCEP/NCAR) between 2012 and 20
Externí odkaz:
https://doaj.org/article/9488bbf5073343489a427292da36197f