Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Duanzhou Shao"'
Publikováno v:
Atmosphere, Vol 15, Iss 6, p 728 (2024)
Quality control (QC) of HaiYang-2B (HY-2B) satellite data is mainly based on the observation process, which remains uncertain for data assimilation (DA). The data in operation have not been widely used in numerical weather prediction. To ensure HY-2B
Externí odkaz:
https://doaj.org/article/0c8c473857a54b29845feffd00e6f970
Autor:
Yanlong Ao, Yu Zhang, Duanzhou Shao, Yinhui Zhang, Yuan Tang, Jiazheng Hu, Zhifei Zhang, Yuhan Sun, Peining Lyu, Qing Yu, Ziyan He
Publikováno v:
Atmosphere, Vol 15, Iss 3, p 269 (2024)
High-impact weather (HIW) events, such as typhoons, usually have sensitive regions where additional observations can be deployed and sensitive observations assimilated, which can improve forecasting accuracy. The ensemble transform sensitivity (ETS)
Externí odkaz:
https://doaj.org/article/0d018c0f7ef148adbb8c8b8aa08770ec
Autor:
Jiajing Li, Yu Zhang, Siqi Chen, Duanzhou Shao, Jiazheng Hu, Junjie Feng, Qichang Tan, Deping Wu, Jiaqi Kang
Publikováno v:
Atmosphere, Vol 14, Iss 9, p 1341 (2023)
This study investigates the impact of assimilating Aircraft Meteorological Data Relay (AMDAR) observations on the prediction of two typhoons, Nesat and Haitang (2017), using the Gridpoint Statistical Interpolation (GSI) assimilation system and the We
Externí odkaz:
https://doaj.org/article/59b3a58269614503af103f5531966c93
Autor:
Pengyou Lai, Jingtao Yang, Lexi Liu, Yu Zhang, Zhaoxuan Sun, Zhefan Huang, Duanzhou Shao, Linbin He
Publikováno v:
Atmosphere, Vol 14, Iss 8, p 1223 (2023)
This study aimed to address the significant bias in 0–44-day precipitation forecasts under numerical weather conditions. To achieve this, we utilized observational data obtained from 156 surface stations in the Sichuan region and reanalysis grid da
Externí odkaz:
https://doaj.org/article/9c51a910ac31439a8ac625c3120acccb
Publikováno v:
Atmosphere, Vol 13, Iss 7, p 1057 (2022)
In this study, three model perturbation schemes, the stochastically perturbed parameter scheme (SPP), stochastically perturbed physics tendency (SPPT), and multi-physics process parameterization (MP), were used to represent the model errors in the re
Externí odkaz:
https://doaj.org/article/996b62aa86704d5e94f4c63a81d382e2