Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Liujie PAN"'
Publikováno v:
暴雨灾害, Vol 42, Iss 6, Pp 659-669 (2023)
Affected by the Hetao trough and low vortex, an extreme short-term heavy rainfall (referred to as the "6.26" event) occurred on 26 June 2022 from 12∶00 BT to 13∶00 BT in the western part of Shangnan County in Shaanxi province. During this process
Externí odkaz:
https://doaj.org/article/ba21ddc952224fba84682c274cc69f27
Autor:
Chunjuan QI, Liujie PAN
Publikováno v:
Gaoyuan qixiang, Vol 42, Iss 2, Pp 483-494 (2023)
Based on the daily forecast data initialized at 20:00 （Beijing time） of the CMA global forecast system （CMA-GFS） during the period from October， 2019 to December， 2020， the forecasting quality of the upper air meteorological elements in
Externí odkaz:
https://doaj.org/article/b9e3b3526f0c44ad9445df4417e8387c
Publikováno v:
Gaoyuan qixiang, Vol 41, Iss 6, Pp 1481-1491 (2022)
Conventional observation and EC-thin data are used to analyze the forecasting difficulties of a severe rainstorm event on 14 September 2019 in northern Guanzhong.Results show that the rainstorm occurred in the process of trough a loft moving eastward
Externí odkaz:
https://doaj.org/article/c0ee86d64c3540569dc19e503eced5fb
Publikováno v:
暴雨灾害, Vol 39, Iss 4, Pp 409-417 (2020)
Based on the raindrop spectrum data observed in Xi'an, Shaanxi Province from 2013 to 2014, and combined with the observation data of the weather radar, the mean raindrop distribution, the microphysical characteristic quantity and Z-R relationship of
Externí odkaz:
https://doaj.org/article/91cd98edf0e14e68922842f8a06570ea
Autor:
Hongfang Zhang, Liujie Pan
Publikováno v:
Atmosphere, Vol 13, Iss 7, p 1047 (2022)
It is very important to analyze the performance of the model rainstorm forecast for understanding the intensity and position deviation of the model precipitation and improving the forecast ability. This paper uses classical scoring and the MODE (Meth
Externí odkaz:
https://doaj.org/article/c8b816bad47e4b9ab120138b9a2d7844
Publikováno v:
Atmosphere, Vol 13, Iss 5, p 705 (2022)
Taking CMPA (CMA Multi-source Merged Precipitation Analysis System) analysis data as a reference, the research analyzes the forecast performance of ECMWF, CMA-Meso, and SCMOC (National Meteorological Center grid precipitation forecast guidance produc
Externí odkaz:
https://doaj.org/article/16f2652a7e14489a9217392a9a3540fa