Development of an unmanned aerial vehicle for the measurement of turbulence in the atmospheric boundary layer

Brandon M. Witte; Robert F. Singler; Sean C.C. Bailey

doi:10.3390/atmos8100195

Development of an unmanned aerial vehicle for the measurement of turbulence in the atmospheric boundary layer

Brandon M. Witte
, Robert F. Singler
, Sean C.C. Bailey

Producción científica: Article › revisión exhaustiva

75 Citas (Scopus)

Resumen

This paper describes the components and usage of an unmanned aerial vehicle developed for measuring turbulence in the atmospheric boundary layer. A method of computing the time-dependent wind speed from a moving velocity sensor data is provided. The physical system built to implement this method using a five-hole probe velocity sensor is described along with the approach used to combine data from the different on-board sensors to allow for extraction of the wind speed as a function of time and position. The approach is demonstrated using data from three flights of two unmanned aerial vehicles (UAVs) measuring the lower atmospheric boundary layer during transition from a stable to convective state. Several quantities are presented and show the potential for extracting a range of atmospheric boundary layer statistics.

Idioma original	English
Número de artículo	195
Publicación	Atmosphere
Volumen	8
N.º	10
DOI	https://doi.org/10.3390/atmos8100195
Estado	Published - oct 4 2017

Nota bibliográfica

Publisher Copyright:
© 2017 by the authors.

Financiación

Acknowledgments: This work was supported by the National Science Foundation through grant #CBET-1351411 and by the National Science Foundation Award No.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, and William Sanders who worked tirelessly to build, maintain, and fly the unmanned vehicles used in this study, as well as Cornelia Schlagenhauf and Lorli Smith, who developed, calibrated and manufactured the probes that were used.

Financiadores	Número del financiador
Collaboration Leading Operational UAS Development for Meteorology and Atmospheric Physics
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China	1539070, #CBET-1351411, 1351411
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China

ASJC Scopus subject areas

Environmental Science (miscellaneous)

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abstract = "This paper describes the components and usage of an unmanned aerial vehicle developed for measuring turbulence in the atmospheric boundary layer. A method of computing the time-dependent wind speed from a moving velocity sensor data is provided. The physical system built to implement this method using a five-hole probe velocity sensor is described along with the approach used to combine data from the different on-board sensors to allow for extraction of the wind speed as a function of time and position. The approach is demonstrated using data from three flights of two unmanned aerial vehicles (UAVs) measuring the lower atmospheric boundary layer during transition from a stable to convective state. Several quantities are presented and show the potential for extracting a range of atmospheric boundary layer statistics.",

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author = "Witte, \{Brandon M.\} and Singler, \{Robert F.\} and Bailey, \{Sean C.C.\}",

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N2 - This paper describes the components and usage of an unmanned aerial vehicle developed for measuring turbulence in the atmospheric boundary layer. A method of computing the time-dependent wind speed from a moving velocity sensor data is provided. The physical system built to implement this method using a five-hole probe velocity sensor is described along with the approach used to combine data from the different on-board sensors to allow for extraction of the wind speed as a function of time and position. The approach is demonstrated using data from three flights of two unmanned aerial vehicles (UAVs) measuring the lower atmospheric boundary layer during transition from a stable to convective state. Several quantities are presented and show the potential for extracting a range of atmospheric boundary layer statistics.

AB - This paper describes the components and usage of an unmanned aerial vehicle developed for measuring turbulence in the atmospheric boundary layer. A method of computing the time-dependent wind speed from a moving velocity sensor data is provided. The physical system built to implement this method using a five-hole probe velocity sensor is described along with the approach used to combine data from the different on-board sensors to allow for extraction of the wind speed as a function of time and position. The approach is demonstrated using data from three flights of two unmanned aerial vehicles (UAVs) measuring the lower atmospheric boundary layer during transition from a stable to convective state. Several quantities are presented and show the potential for extracting a range of atmospheric boundary layer statistics.

KW - Atmospheric boundary layer

KW - Turbulence

KW - Unmanned aerial systems

KW - Unmanned aerial vehicles

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Development of an unmanned aerial vehicle for the measurement of turbulence in the atmospheric boundary layer

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Financiación

ASJC Scopus subject areas

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