Keywords
microScale, turbulence, urban canopy
Presenter Abstract
Observations collected during the ISARRA Small-UAS Coordination for Atmospheric Low-Level Environmental Sampling (SCALES) flight week campaign are used to evaluate the NSF NCAR FastEddy© GPU LES model run at a building resolving resolution of 5 m grid spacing. A set of simulations were conducted using mesoscale forcings derived from the HRRR for cases collected both prior to and during the microSCALES field campaign. Observations from several turbulence-sensing UAS flown to the north and south of downtown Tulsa, OK are compared with highly resolved wind and turbulence estimates obtained with FastEddy©. The new virtual tower capability in FastEddy© v5.0 is implemented and tested. Data from both profiling UAS and a Doppler Lidar are used to evaluate the simulations. The impact of uncertainties in the boundary conditions are explored and quantified.
Presentations
Presented in Session 9: Field Campaigns
Turbulent Flow Impacts of an Urban Canopy Observed Using UAS
Observations collected during the ISARRA Small-UAS Coordination for Atmospheric Low-Level Environmental Sampling (SCALES) flight week campaign are used to evaluate the NSF NCAR FastEddy© GPU LES model run at a building resolving resolution of 5 m grid spacing. A set of simulations were conducted using mesoscale forcings derived from the HRRR for cases collected both prior to and during the microSCALES field campaign. Observations from several turbulence-sensing UAS flown to the north and south of downtown Tulsa, OK are compared with highly resolved wind and turbulence estimates obtained with FastEddy©. The new virtual tower capability in FastEddy© v5.0 is implemented and tested. Data from both profiling UAS and a Doppler Lidar are used to evaluate the simulations. The impact of uncertainties in the boundary conditions are explored and quantified.