Browsing by Author "Shen, Lian"
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Item Renewable Energy for Minnesota's Future(2020) Hanson, Aaron; Leighton, Chris; James, Richard D; Jalan, Bharat; Shen, Lian; Mohan, NedItem Supporting Data for "A novel machine learning method for accelerated modeling of the downwelling irradiance field in the upper ocean"(2022-04-27) Hao, Xuanting; Shen, Lian; haoxx081@umn.edu; Hao, Xuanting; University of Minnesota Fluid Mechanics LabThe training data are generated from the Monte Carlo simulation of oceanic irradiance field. They can be used for training a neural network that significantly accelerates the prediction of irradiance in the upper ocean.Item Supporting data for A Model Sensitivity Study of Ocean Surface Wave Modulation Induced by Internal Waves(2022-11-03) Wu, Jie; Ortiz-Suslow, David G; Hao, Xuanting; Wang, Qing; Shen, Lian; wuxx1417@umn.edu; Wu, Jie; University of Minnesota Fluid Mechanics LabThe dataset is generated using the two-layer fluid model to simulate internal and surface wave interaction. It can be used to analyze the impact of internal wave and surface wave properties on internal wave-induced surface wave modulation.Item Supporting Data for Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation(2019-11-04) Hao, Xuanting; Cao, Tao; Shen, Lian; haoxx081@umn.edu; Xuanting, Hao; University of Minnesota St. Anthony Falls LaboratoryThe data are results of the large-eddy simulation of wind turbulence over monochromatic waves propagating in coastal and oceanic waters, described in the paper by Hao, Cao, and Shen "Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation " (published in Physical Review Fluids).Item Supporting data for Study of The Fundamental Dynamics of Water Wave Effects on Turbulence for Environmental Applications(2021-08-25) Shen, Lian; Xuan, Anqing; Deng, Bingqing; xuanx004@umn.edu; Xuan, Anqing; University of Minnesota St. Anthony Falls LaboratoryThe data are results of the numerical simulation of the wave-phase-resolved Langmuir turbulence, described in the papers by Xuan, Deng and Shen. The data are shared as required by the sponsoring projects.Item Supporting data for: Numerical Study of Near-Surface Jet in the Atmospheric Surface Layer over Oceanic Fronts(2020-04-17) Deng, Bing-Qing; Zhao, Ming-Xiang; Wang, Qing; Shen, Lian; bdeng@umn.edu; Deng, Bing-Qing; University of Minnesota St. Anthony Falls LaboratoryThe data are results of the numerical simulation of the near-surface jet in the atmospheric surface layer across oceanic fronts, described in the paper by Deng, Zhao, Wang, and Shen (submitted to JGR-Atmosphere). The data are shared to follow the common Enabling FAIR data Project guidelines as required by the journal.