Wei Zhao
State Oceanic Administration
9 Papers
9 Citations
Wei Zhao is an academic researcher from State Oceanic Administration. The author has contributed to research in topics: Climate model & Coupled model intercomparison project. The author has an hindex of 6, co-authored 9 publications.
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Papers
The Sunway TaihuLight supercomputer: system and applications
Haohuan Fu,Junfeng Liao,Jinzhe Yang,Lanning Wang,Zhenya Song,Xiaomeng Huang,Chao Yang,Wei Xue,Fangfang Liu,Fangli Qiao,Wei Zhao,Xunqiang Yin,Chaofeng Hou,Chenglong Zhang,Wei Ge,Jian Zhang,Yangang Wang,Chunbo Zhou,Guangwen Yang +18 more
TL;DR: Preliminary efforts on developing and optimizing applications on the TaihuLight system are reported, focusing on key application domains, such as earth system modeling, ocean surface wave modeling, atomistic simulation, and phase-field simulation.
523
The Flexible Global Ocean-Atmosphere-Land system model, Spectral Version 2: FGOALS-s2
Qing Bao,Pengfei Lin,Tianjun Zhou,Yimin Liu,Yongqiang Yu,Guoxiong Wu,Bian He,Jie He,Lijuan Li,Jiandong Li,Yangchun Li,Hailong Liu,Fangli Qiao,Zhenya Song,Bin Wang,Jun Wang,Pengfei Wang,Xiaocong Wang,Zaizhi Wang,Bo Wu,Tongwen Wu,Yongfu Xu,Haiyang Yu,Wei Zhao,Weipeng Zheng,Linjiong Zhou +25 more
TL;DR: The Flexible Global Ocean-Atmosphere-Land System model, Spectral Version 2 (FGOALS-s2) was used to simulate realistic climates and to study anthropogenic influences on climate change.
262
Predicting the spread of nuclear radiation from the damaged Fukushima Nuclear Power Plant
TL;DR: In this paper, the spread of nuclear radiation from the power plant through the atmosphere and ocean was predicted with a short-term climate forecasting model and an ocean circulation model under some idealized assumptions.
A highly effective global surface wave numerical simulation with ultra-high resolution
Fangli Qiao,Wei Zhao,Xunqiang Yin,Xiaomeng Huang,Xin Liu,Qi Shu,Guansuo Wang,Zhenya Song,Xinfang Li,Haixing Liu,Guangwen Yang,Yeli Yuan +11 more
- 13 Nov 2016
TL;DR: Realistic surface wave simulations on Sunway TaihuLight Supercomputer demonstrated that the model had outstanding scalability and achieved 45.43 PFlops in ultra-high resolution of (1/100)°, which provides a highly effective solution for accurate surface wave forecasting and climate change prediction.
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High efficient parallel numerical surface wave model based on an irregular quasi-rectangular domain decomposition scheme
TL;DR: The speedup and parallel efficiency indicate that the irregular quasi-rectangular domain decomposition and serialization schemes lead to high parallel efficiency and good scalability for a global numerical wave model.
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