A5077868773- Fire effects on ecosystems
- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
- Wind Energy Research and Development
- Wind and Air Flow Studies
- Aerodynamics and Fluid Dynamics Research
- Fire dynamics and safety research
- Plant Water Relations and Carbon Dynamics
- Atmospheric chemistry and aerosols
- Image Processing and 3D Reconstruction
- 3D Modeling in Geospatial Applications
- Air Quality and Health Impacts
- Big Data and Business Intelligence
- Aerodynamics and Acoustics in Jet Flows
- Plant responses to water stress
- Cloud Computing and Resource Management
- Meteorological Phenomena and Simulations
- Scientific Computing and Data Management
- Geophysics and Gravity Measurements
- demographic modeling and climate adaptation
- Fluid Dynamics and Vibration Analysis
- Geology and Paleoclimatology Research
Los Alamos National Laboratory
2019-2023
University of Wyoming
2017-2022
Parasite drag on rotorcraft can become a crucial factor in forward flight, especially during high-speed flight. Prior evaluations of the ability computational methods to predict hub have focused these solvers match model-scale experimental data, but results not typically been examined for full-scale conditions. Using an unstructured method, sources moderately complex model are at different Reynolds number scales. Correlations with 1/3.5-scale wind tunnel test and empirical data provided...
The CIBS Example Weather Year for Kew (1964/65) has been established 1 , and some reduced data published 2, 3 . thinking behind the concept of an example weather year was presented by Holmes Hitchin in 1974 4 since that time process selection formalised a task group under auspices Computer Applications Panel. Two more years have selected areas represented Aldergrove Eskdalemuir Meteorological stations. This paper presents these new years' describing how they were selected, is to be...
Many wildfire behavior modeling studies have focused on fires during extreme conditions, where the dominant processes are resolved and smaller-scale variations less influence fire behavior. As such, models typically perform well for these cases. However, they can struggle in marginal conditions (e.g. low-intensity fire) as small-scale significantly physics at scales below grid resolution. In an effort to generalize improve their overall performance, we developed a new set of equations wet...
An experimental investigation of swirl and wake strength influence on axisymmetric turbulent evolution was conducted. A novel generator design wire mounted in a wind tunnel test section with low free-stream turbulence produced Reynolds numbers based momentum thickness velocity excess 14 000 up to 0.4 minimal blockage. Steady-state blade element simulations reference turbine designs indicated that turbines operate the flow regimes studied, indicating practical aspects this work. Stereoscopic...
Wildfire behavior is dictated by the complex interaction of numerous physical phenomena including dynamic ambient and fire-induced winds, heat transfer, aerodynamic drag on wind fuel combustion. These create feedback effects between fire its surroundings. In this study, we aim to study mechanisms which buoyant flame dynamics along with vortical motions instabilities control wildfire propagation. Specifically, employs a suite simulations conducted physics-based coupled fire-atmosphere model...
Using a particulate emissions model developed for FIRETEC, we explore differences in particle emission profiles between high-intensity fires under critical conditions and low-intensity marginal conditions. Simulations were performed chaparral shrubland coniferous pine forest representative of the southeast United States. In each case, simulations carried out fire Marginal include high moisture levels low winds, often desired prescribed as these produce burn with slower spread rates. Critical...
This report describes eighteen projects that explored how commercial cloud computing services can be utilized for scientific computation at national laboratories. These demonstrations ranged from deploying proprietary software in a environment to leveraging established cloud-based analytics workflows processing datasets. By and large, the were successful collectively they suggest valuable computational resource