This paper provides an overview of recently conducted experiments in which atmospheric boundary layer turbulence was measured by unmanned aerial vehicles. These experiments were conducted as part of a larger, multi-university measurement campaign. Results from profiling flights, used to characterize the atmospheric boundary layer characteristics are presented. Relative statistics are then presented, measured at different times during the boundary layer transition from stably stratified to convective conditions. The turbulence statistics are found to agree with the expected general behavior, but have the advantage of being less dependent on Taylor's frozen flow hypothesis hypothesis to translate time-dependent information to spatial information.
|Title of host publication||10th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2017|
|State||Published - 2017|
|Event||10th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2017 - Chicago, United States|
Duration: Jul 6 2017 → Jul 9 2017
|Name||10th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2017|
|Conference||10th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2017|
|Period||7/6/17 → 7/9/17|
Bibliographical noteFunding Information:
This work was supported by the National Science Foundation through grant #CBET-1351411 and by National Science Foundation award #1539070, Collaboration Leading Operational UAS Development for Meteorology and Atmospheric Physics (CLOUDMAP). The authors would like to thank Ryan Nolin, Caleb Canter, Jonathan Hamilton, Elizabeth Pillar-Little, William Sanders, and Robert Singler who worked tirelessly to build, maintain, and fly the unmanned vehicles used in this study.
Copyright © 2016 Zakon Group LLC.
ASJC Scopus subject areas
- Atmospheric Science
- Aerospace Engineering