An Analysis of Meteorological Measurements Using a Miniature Quad-Rotor Unmanned Aerial System

Abstract

Naval operational weather products, especially EM prediction, often fail to capture key meteorological features in the boundary layer due to the absence of high-resolution profile data. Quad-rotor sUAS with meteorological sensing capabilities may provide a solution for acquiring vertical profile data at sea. With the use of an RS92 radiosonde, InstantEye small Unmanned Aerial System (sUAS), and a calibrated sensing tower we analyzed the effects a quad-rotor had on the accuracy of temperature and pressure profiles in the surface layer. In unstable atmospheres temperature measurements made in the surface layer are as accurate as the manufacturers claimed accuracy. In stable atmospheres mixing occurs below 1.3 m, and above 2 m sampled air comes from as much as 2 m aloft. The InstantEye s rotors contribute to the variation in temperature measurement, and this effect is strongest near the surface. The variations introduced by the prop-wash helped suppress natural variations from turbulent fluctuations, but are still present above the surface layer. The InstantEye also introduces a 0.12 hPa pressure bias while in flight due to rotor-induced lift.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2015
Accession Number
ADA632408

Entities

People

  • Christopher R. Machado

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Airframes
  • Boundary Layer
  • Climate Change
  • Control Systems
  • Energy Transfer
  • Fixed Wing Aircraft
  • Global Positioning Systems
  • Heat Energy
  • Measurement
  • Meteorology
  • Pressure Measurement
  • Radar
  • Remotely Piloted Vehicles
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Fields of Study

  • Environmental science

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation

Technology Areas

  • Autonomy