Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Fajing Chen"'
Publikováno v:
暴雨灾害, Vol 42, Iss 4, Pp 406-414 (2023)
In this paper, based on the regional ensemble CMA-REPS V3.1 system, the algorithm for the neighborhood ensemble probability method of precipitation is optimized. The daily 24-hour accumulated precipitation data from May to July 2021 are selected to c
Externí odkaz:
https://doaj.org/article/c44317e964664f25962c03b1e017cee0
Publikováno v:
暴雨灾害, Vol 40, Iss 5, Pp 523-530 (2021)
Using the historical precipitation observation data in the Haihe River Basin and the ECMWF ensemble prediction, the 289 grid points in the Haihe River Basin are modeled with Bayesian Processor of Output (BPO), which revise the determine precipitation
Externí odkaz:
https://doaj.org/article/757914093dd9480799866c1d9a73f76c
Autor:
Shujun Zhu, Bin Wang, Lin Zhang, Juanjuan Liu, Yongzhu Liu, Jiandong Gong, Shiming Xu, Yong Wang, Wenyu Huang, Li Liu, Yujun He, Xiangjun Wu, Bin Zhao, Fajing Chen
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3476 (2023)
Many ensemble-based data assimilation (DA) methods use observation space localization to mitigate the sampling errors due to the insufficient ensemble members. Observation space localization is simpler and more timesaving than model space localizatio
Externí odkaz:
https://doaj.org/article/eb3b08027d174770968a9745e7092fde
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:
Weather and Forecasting. 38:199-222
Using a 3-km regional ensemble prediction system (EPS), this study tested a three-dimensional (3D) rescaling mask for initial condition (IC) perturbation. Whether the 3D mask-based EPS improves ensemble forecasts over current two-dimensional (2D) mas
Autor:
Jing Wang, Jing Chen, Yongzhu Liu, Juanjuan Liu, Bin Wang, Xiaoli Li, FaJing Chen, Zhenhua Huo
Publikováno v:
Atmosphere-Ocean. 61:57-67
Publikováno v:
CCF Transactions on High Performance Computing.
Autor:
Shujun Zhu, Bin Wang, Lin Zhang, Juanjuan Liu, Yongzhu Liu, Jiandong Gong, Shiming Xu, Yong Wang, Wenyu Huang, Li Liu, Yujun He, Xiangjun Wu, Bin Zhao, Fajing Chen
Publikováno v:
Journal of Advances in Modeling Earth Systems. 14
Publikováno v:
Weather and Forecasting. 36:341-359
The simulated radar reflectivity used by current mesoscale numerical weather prediction models can reflect the grid precipitation but cannot reflect the subgrid precipitation generated by a cumulus parameterization scheme. To solve this problem, this
Publikováno v:
Advances in Atmospheric Sciences. 37:328-346
To represent model uncertainties more comprehensively, a stochastically perturbed parameterization (SPP) scheme consisting of temporally and spatially varying perturbations of 18 parameters in the microphysics, convection, boundary layer, and surface