Browsing by Author "University of Minnesota Fluid Mechanics Lab"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item 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.