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Evaluation and Intercomparison of Small Uncrewed Aircraft Systems Used for Atmospheric Research

  • GIJS DE Boer
  • , Brian J. Butterworth
  • , Jack S. Elston
  • , Adam Houston
  • , Elizabeth Pillar-Little
  • , Brian Argrow
  • , Tyler M. Bell
  • , Phillip Chilson
  • , Christopher Choate
  • , Brian R. Greene
  • , Ashraful Islam
  • , Ryan Martz
  • , Michael Rhodes
  • , Daniel Rico
  • , Maciej Stachura
  • , Francesca M. Lappin
  • , Antonio R. Segales
  • , Seabrooke Whyte
  • , Matthew Wilson
  • University of Colorado Boulder
  • National Oceanic and Atmospheric Administration
  • Black Swift Technologies LLC
  • University of Nebraska-Lincoln
  • University of Oklahoma

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Small uncrewed aircraft systems (sUAS) are regularly being used to conduct atmospheric research and are starting to be used as a data source for informing weather models through data assimilation. However, only a limited number of studies have been conducted to evaluate the performance of these systems and assess their ability to replicate measurements from more traditional sensors such as radiosondes and towers. In the current work, we use data collected in central Oklahoma over a 2-week period to offer insight into the performance of five different sUAS platforms and associated sensors in measuring key weather data. This includes data from three rotary-wing and two fixed-wing sUAS and included two commercially available systems and three university-developed research systems. Flight data were compared to regular radiosondes launched at the flight location, tower observations, and intercompared with data from other sUAS platforms. All platforms were shown to measure atmospheric state with reasonable accuracy, though there were some consistent biases detected for individual platforms. This information can be used to inform future studies using these platforms and is currently being used to provide estimated error covariances as required in support of assimilation of sUAS data into weather forecasting systems.

Original languageEnglish
Pages (from-to)127-145
Number of pages19
JournalJournal of Atmospheric and Oceanic Technology
Volume41
Issue number2
DOIs
StatePublished - Feb 2024
Externally publishedYes

Keywords

  • Aircraft observations
  • Data quality control
  • In situ atmospheric observations
  • Instrumentation/sensors
  • Measurements
  • Unpiloted aerial systems

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