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

Author:

Boer Gijs de123,Butterworth Brian J.12,Elston Jack S.4,Houston Adam5,Pillar-Little Elizabeth6,Argrow Brian3,Bell Tyler M.6,Chilson Phillip7,Choate Christopher3,Greene Brian R.7,Islam Ashraful8,Martz Ryan5,Rhodes Michael3,Rico Daniel8,Stachura Maciej4,Lappin Francesca M.7,Segales Antonio R.6,Whyte Seabrooke6,Wilson Matthew5

Affiliation:

1. a Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado

2. b Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado

3. c Integrated Remote and In Situ Sensing, University of Colorado Boulder, Boulder, Colorado

4. d Black Swift Technologies, Boulder, Colorado

5. f Department of Earth and Atmospheric Sciences, University of Nebraska, Lincoln, Nebraska

6. g Cooperative Institute for High-Impact and Severe Weather Research and Operations, University of Oklahoma, Norman, Oklahoma

7. h School of Meteorology, University of Oklahoma, Norman, Oklahoma

8. e School of Computing, University of Nebraska, Lincoln, Nebraska

Abstract

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.

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

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