23 citations · 23 across the 2 of their papers we have counts for
2 papers
physics.ao-ph2024
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence
Alex Rybchuk, Luis A. Martínez-Tossas, Stefano Letizia +7
To validate the second-by-second dynamics of turbines in field experiments, it is necessary to accurately reconstruct the winds going into the turbine. Current time-resolved inflow…
physics.ao-ph2023★ 23 cited
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models
Alex Rybchuk, Malik Hassanaly, Nicholas Hamilton +3
Due to costs and practical constraints, field campaigns in the atmospheric boundary layer typically only measure a fraction of the atmospheric volume of interest. Machine learning…