Overview of Small Fixed-Wing Unmanned Aircraft for Meteorological Sampling

Jack Elston University of Colorado Boulder, Boulder, Colorado

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Brian Argrow University of Colorado Boulder, Boulder, Colorado

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Maciej Stachura University of Colorado Boulder, Boulder, Colorado

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Doug Weibel University of Colorado Boulder, Boulder, Colorado

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Dale Lawrence University of Colorado Boulder, Boulder, Colorado

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David Pope University of Colorado Boulder, Boulder, Colorado

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Abstract

Sampling the atmospheric boundary layer with small unmanned aircraft is a difficult task requiring informed selection of sensors and algorithms that are suited to the particular platform and mission. Many factors must be considered during the design process to ensure the desired measurement accuracy and resolution is achieved, as is demonstrated through an examination of previous and current efforts. A taxonomy is developed from these approaches and is used to guide a review of the systems that have been employed to make in situ wind and thermodynamic measurements, along with the campaigns that have employed them. Details about the airframe parameters, estimation algorithms, sensors, and calibration methods are given.

Corresponding author address: Jack Elston, Department of Aerospace Engineering Sciences, University of Colorado Boulder, 429 UCB, Boulder, CO 80309-0429. E-mail: elstonj@colorado.edu

Abstract

Sampling the atmospheric boundary layer with small unmanned aircraft is a difficult task requiring informed selection of sensors and algorithms that are suited to the particular platform and mission. Many factors must be considered during the design process to ensure the desired measurement accuracy and resolution is achieved, as is demonstrated through an examination of previous and current efforts. A taxonomy is developed from these approaches and is used to guide a review of the systems that have been employed to make in situ wind and thermodynamic measurements, along with the campaigns that have employed them. Details about the airframe parameters, estimation algorithms, sensors, and calibration methods are given.

Corresponding author address: Jack Elston, Department of Aerospace Engineering Sciences, University of Colorado Boulder, 429 UCB, Boulder, CO 80309-0429. E-mail: elstonj@colorado.edu
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