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Full-Text Articles in Physical Sciences and Mathematics
Historical And Future Projections Of Supercell Precipitation Contributions To The Hydroclimate Of The United States, Aaron Zeeb
Graduate Research Theses & Dissertations
Rotating storms, or supercells, are frequent producers of significant tornadoes, hail, and nontornadic winds and an underappreciated genitor of extreme precipitation rates and flash floods. Little research has examined the precipitation contributions from supercells to the overall hydroclimate of the CONUS and, provided that these storms and their precipitation rates may shift in the future due to climate change, it is important to understand their characteristics from both historical and future perspectives. This research seeks to understand supercell precipitation characteristics across the CONUS using high-resolution, convection-permitting, dynamical-downscaled simulations for three, 15-year epochs. Epochs include a historical end-of-20th-century period (1990–2005) and …
Convolutional-Neural-Network-Based Des-Level Aerodynamic Flow Field Generation From Urans Data, John P. Romano, Oktay Baysal, Alec C. Brodeur
Convolutional-Neural-Network-Based Des-Level Aerodynamic Flow Field Generation From Urans Data, John P. Romano, Oktay Baysal, Alec C. Brodeur
Mechanical & Aerospace Engineering Faculty Publications
The present paper culminates several investigations into the use of convolutional neural networks (CNNs) as a post-processing step to improve the accuracy of unsteady Reynolds-averaged Navier–Stokes (URANS) simulations for subsonic flows over airfoils at low angles of attack. Time-averaged detached eddy simulation (DES)-generated flow fields serve as the target data for creating and training CNN models. CNN post-processing generates flow-field data comparable to DES resolution, but after using only URANS-level resources and properly training CNN models. This document outlines the underlying theory and progress toward the goal of improving URANS simulations by looking at flow predictions for a class of …