Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lianglü CHEN"'
Autor:
Lianglü CHEN, Song GAO
Publikováno v:
暴雨灾害, Vol 42, Iss 2, Pp 160-169 (2023)
In order to understand more comprehensively the ensemble forecast results of rainfall with the convective scale ensemble prediction system and thus to further recommend them to the weather forecasters, this study carried out the analysis of the forec
Externí odkaz:
https://doaj.org/article/87014cca0a4e4d59beb389b50a9731bf
Publikováno v:
暴雨灾害, Vol 41, Iss 6, Pp 679-690 (2022)
Based on the radar data direct assimilation system established by the Chongqing Meteorological Bureau in cooperation with the Center for Analysis and Prediction of Storms of the University of Oklahoma, a set of radar data assimilation and forecasting
Externí odkaz:
https://doaj.org/article/c8e34d1e55724ff6a2c7daa320a002e9
Publikováno v:
暴雨灾害, Vol 41, Iss 2, Pp 204-214 (2022)
In order to study the performance differences of different ensemble forecast products for temperature and precipitation forecasts in Chongqing, based on the Chongqing Convective-scale Ensemble Prediction System (CQCEPS) which has been operationally i
Externí odkaz:
https://doaj.org/article/09459585d4174cba8b0938a7037247f2
Publikováno v:
暴雨灾害, Vol 38, Iss 6, Pp 649-657 (2019)
Based on the convection-allowing scale high resolution (3 km) ensemble prediction system which has been operationally implemented in meteorological services of Chongqing and includes initial perturbation, model physical process perturbation and later
Externí odkaz:
https://doaj.org/article/7682521db23e4a2081c27a0e4a5bf3d8
Publikováno v:
暴雨灾害, Vol 38, Iss 4, Pp 364-372 (2019)
Based on the global ensemble forecast data of EC and NCEP in TIGGE database from January 1, 2016 to December 31, 2017, the 2 m air temperature and 24 h accumulated rain forecasts within 10 days of the two systems in southwest China are verified and a
Externí odkaz:
https://doaj.org/article/6bb2c4953aed4dabb1d8a8ae325b0b1c
Publikováno v:
Journal of Meteorological Research. 29:981-996
Based on the GRAPES (Global/Regional Assimilation and Prediction System) regional ensemble prediction system and 3DVAR (three-dimensional variational) data assimilation system, which are implemented operationally at the Numerical Weather Prediction C