Haiyang Yu
Stony Brook University
6 Papers
10 Citations
Haiyang Yu is an academic researcher from Stony Brook University. The author has contributed to research in topics: Atmospheric model & Intertropical Convergence Zone. The author has an hindex of 4, co-authored 6 publications. Previous affiliations of Haiyang Yu include Chinese Academy of Sciences.
Chat about Author
Papers
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
Global energy and water balance: Characteristics from Finite‐volume Atmospheric Model of the IAP/LASG (FAMIL1)
Linjiong Zhou,Qing Bao,Yimin Liu,Guoxiong Wu,Wei-Chyung Wang,Xiaocong Wang,Bian He,Haiyang Yu,Jiandong Li +8 more
TL;DR: In this article, the authors describe the dynamical core and physical parameterizations of FAMIL1 and compare the simulated characteristics of energy and water balances and compare them with observational/reanalysis data, concluding that the model simulates well the seasonal and geographical distributions of radiative fluxes at the top of the atmosphere and at the surface.
91
Cloud transitions: comparison of temporal variation in the southeastern Pacific with the spatial variation in the northeastern Pacific at low latitudes
TL;DR: The seasonal variation of clouds in the southeastern equatorial Pacific (SEP) is analyzed and compared with the spatial variation in the northeastern Pacific along the Global Energy and Water Cycle Experiment Cloud System Study/Working Group on Numerical Experimentation (GCSS/WGNE) Pacific Cross-Section Intercomparison (GPCI) transect.
3
Automatic tuning of the Community Atmospheric Model (CAM5) by using short-term hindcasts with an improved downhill simplex optimization method
Tao Zhang,Tao Zhang,Minghua Zhang,Wuyin Lin,Yanluan Lin,Wei Xue,Haiyang Yu,Juanxiong He,Xiaoge Xin,Hsi-Yen Ma,Shaocheng Xie,Weimin Zheng +11 more
TL;DR: In this paper, an automatic workflow is described and applied to the Community Atmospheric Model (CAM5) to optimize several parameters in its cloud and convective parameterizations, including precipitation, temperature, humidity, and longwave/shortwave cloud forcing.