Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science during the LAPSE-RATE Campaign.

Autor: Barbieri L; Rubenstein School of Environment and Natural Resources and Gund Insitute for Environment, University of Vermont, Burlington, VT 05401, USA. lindsay.barbieri@uvm.edu., Kral ST; Geophysical Institute and Bjerknes Centre for Climate Research, University of Bergen, Postbox 7803, 5020 Bergen, Norway. stephan.kral@uib.no., Bailey SCC; Department of Mechanical Engineering, University of Kentucky, Lexington, KY 40506, USA. sean.bailey@uky.edu., Frazier AE; School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85281, USA. Amy.Frazier@asu.edu., Jacob JD; Unmanned Systems Research Institute and School of Aerospace Engineering, Oklahoma State University,Stillwater, OK 74078, USA. jdjacob@okstate.edu., Reuder J; Geophysical Institute and Bjerknes Centre for Climate Research, University of Bergen, Postbox 7803, 5020 Bergen, Norway. joachim.reuder@uib.no., Brus D; Finnish Meteorological Institute, Erik Palménin aukio 1, P.O. Box 503, FIN-00100 Helsinki, Finland. david.brus@fmi.fi., Chilson PB; School of Meteorology, Advanced Radar Research Center, and Center for Autonomous Sensing andSampling, University of Oklahoma, Norman, OK 73071, USA. chilson@ou.edu., Crick C; Department of Computer Science, Oklahoma State University, Stillwater, OK 74078, USA. chriscrick@cs.okstate.edu., Detweiler C; Department of Computer Science and Engineering, University of Nebraska⁻Lincoln,Lincoln, NE 68588, USA. carrick@cse.unl.edu., Doddi A; Department of Aerospace Engineering, University of Colorado, Boulder, CO 80309, USA. Abhiram.Doddi@colorado.edu., Elston J; Black Swift Technologies, Boulder, CO 80301, USA. elstonj@blackswifttech.com., Foroutan H; Department of Civil and Environmental Engineering, Virginia Tech,Blacksburg, VA 24061, USA. hosein@vt.edu., González-Rocha J; Department of Aerospace and Ocean Engineering, Virginia Tech,Blacksburg, VA 24061, USA. avig86@vt.edu., Greene BR; School of Meteorology, Advanced Radar Research Center, and Center for Autonomous Sensing andSampling, University of Oklahoma, Norman, OK 73071, USA. brian.greene@ou.edu., Guzman MI; Department of Chemistry, University of Kentucky, Lexington, KY 40506, USA. marcelo.guzman@uky.edu., Islam ALHA; Department of Earth and Atmospheric Sciences, University of Nebraska⁻Lincoln, Bessey Hall 126,Lincoln, NE 68588, USA. ahouston2@unl.edu.; Department of Mechanical and Materials Engineering, University of Nebraska⁻Lincoln,Lincoln, NE 68588, USA. ahouston2@unl.edu., Kemppinen O; Department of Physics, Kansas State University, 1228 N. 17th St., Manhattan, KS 66506, USA. mislam@huskers.unl.edu., Lawrence D; Department of Aerospace Engineering, University of Colorado, Boulder, CO 80309, USA. dale.lawrence@colorado.edu., Pillar-Little EA; School of Meteorology, Advanced Radar Research Center, and Center for Autonomous Sensing andSampling, University of Oklahoma, Norman, OK 73071, USA. epillarlittle@ou.edu., Ross SD; Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA. sdross@vt.edu., Sama M; Department of Biosystems and Agricultural Engineering, College of Agriculture, Food and Environment,University of Kentucky, Lexington, KY 40546, USA. michael.sama@uky.edu., Schmale DG III; School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA. dschmale@vt.edu., Schuyler TJ; Department of Chemistry, University of Kentucky, Lexington, KY 40506, USA. travis.schuyler@uky.edu., Shankar A; Department of Computer Science and Engineering, University of Nebraska⁻Lincoln,Lincoln, NE 68588, USA. ashankar@cse.unl.edu., Smith SW; Department of Mechanical Engineering, University of Kentucky, Lexington, KY 40506, USA. suzanne.smith@uky.edu., Waugh S; NOAA National Severe Storms Laboratory, 120 David L. Boren Blvd., Norman, OK 73072, USA. sean.waugh@noaa.gov., Dixon C; Integrated Remote and In Situ Sensing Program, University of Colorado, Boulder, CO 80309, USA. cory.dixon@colorado.edu., Borenstein S; Integrated Remote and In Situ Sensing Program, University of Colorado, Boulder, CO 80309, USA. steve.borenstein@colorado.edu., Boer G; Cooperative Institute for Research in Environmental Sciences, University of Colorado,Boulder, CO 80309, USA. gijs.deboer@colorado.edu.; NOAA Physical Sciences Division, Boulder, CO 80305, USA. gijs.deboer@colorado.edu.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 May 10; Vol. 19 (9). Date of Electronic Publication: 2019 May 10.
DOI: 10.3390/s19092179
Abstrakt: Small unmanned aircraft systems (sUAS) are rapidly transforming atmospheric research. With the advancement of the development and application of these systems, improving knowledge of best practices for accurate measurement is critical for achieving scientific goals. We present results from an intercomparison of atmospheric measurement data from the Lower Atmospheric Process Studies at Elevation-a Remotely piloted Aircraft Team Experiment (LAPSE-RATE) field campaign. We evaluate a total of 38 individual sUAS with 23 unique sensor and platform configurations using a meteorological tower for reference measurements. We assess precision, bias, and time response of sUAS measurements of temperature, humidity, pressure, wind speed, and wind direction. Most sUAS measurements show broad agreement with the reference, particularly temperature and wind speed, with mean value differences of 1.6 ± 2 . 6 ∘ C and 0.22 ± 0 . 59 m/s for all sUAS, respectively. sUAS platform and sensor configurations were found to contribute significantly to measurement accuracy. Sensor configurations, which included proper aspiration and radiation shielding of sensors, were found to provide the most accurate thermodynamic measurements (temperature and relative humidity), whereas sonic anemometers on multirotor platforms provided the most accurate wind measurements (horizontal speed and direction). We contribute both a characterization and assessment of sUAS for measuring atmospheric parameters, and identify important challenges and opportunities for improving scientific measurements with sUAS.
Databáze: MEDLINE
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