Xuanting Hao

Emailhaoxx081umnedu

Research activity per year

If you made any changes in Pure these will be visible here soon.

Fingerprint

The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

1 Similar Profiles

6 Article
1 Conference article

A data-driven analysis of inhomogeneous wave field based on two-dimensional Hilbert–Huang transform
Hao, X. & Shen, L., Mar 2022, In: Wave Motion. 110, 102896.
Research output: Contribution to journal › Article › peer-review
Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation
Hao, X., Cao, T. & Shen, L., May 13 2021, In: Physical Review Fluids. 6, 5, 054608.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Direct simulation of surface roughness signature of internal wave with deterministic energy-conservative model
Hao, X. & Shen, L., 2020, In: Journal of Fluid Mechanics. 891, R3.
Research output: Contribution to journal › Article › peer-review
3 Scopus citations
Surface wave effects on energy transfer in overlying turbulent flow
Wang, L. H., Zhang, W. Y., Hao, X., Huang, W. X., Shen, L., Xu, C. X. & Zhang, Z., 2020, In: Journal of Fluid Mechanics. 893, A21.
Research output: Contribution to journal › Article › peer-review
7 Scopus citations
Simulation-based study of wind—wave interactions under various sea conditions
Hao, X., Li, T., Cao, T. & Shen, L., Dec 1 2019, In: Journal of Hydrodynamics. 31, 6, p. 1148-1152 5 p.
Research output: Contribution to journal › Article › peer-review

Supporting Data for 'Mechanistic study of wave shoaling effect on wind--wave momentum flux using large-eddy simulation'
Hao, X., Cao, T. & Shen, L., Data Repository for the University of Minnesota, 2019
DOI: 10.13020/6swg-jz81, http://hdl.handle.net/11299/208648
Dataset
Supporting Data for "A novel machine learning method for accelerated modeling of the downwelling irradiance field in the upper ocean"
Hao, X. & Shen, L., Data Repository for the University of Minnesota, Apr 27 2022
DOI: 10.13020/742c-c863, https://hdl.handle.net/11299/227138
Dataset

Xuanting Hao

Fingerprint

Network

Dive into details

A data-driven analysis of inhomogeneous wave field based on two-dimensional Hilbert–Huang transform

Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation

Direct simulation of surface roughness signature of internal wave with deterministic energy-conservative model

Surface wave effects on energy transfer in overlying turbulent flow

Simulation-based study of wind—wave interactions under various sea conditions

Supporting Data for 'Mechanistic study of wave shoaling effect on wind--wave momentum flux using large-eddy simulation'

Supporting Data for "A novel machine learning method for accelerated modeling of the downwelling irradiance field in the upper ocean"

Xuanting Hao

Fingerprint

Network

Research output

A data-driven analysis of inhomogeneous wave field based on two-dimensional Hilbert–Huang transform

Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation

Direct simulation of surface roughness signature of internal wave with deterministic energy-conservative model

Surface wave effects on energy transfer in overlying turbulent flow

Simulation-based study of wind—wave interactions under various sea conditions

Datasets

Supporting Data for 'Mechanistic study of wave shoaling effect on wind--wave momentum flux using large-eddy simulation'

Supporting Data for "A novel machine learning method for accelerated modeling of the downwelling irradiance field in the upper ocean"