Development of Community, Capabilities, and Understanding through Unmanned Aircraft-Based Atmospheric Research: The LAPSE-RATE Campaign

ABSTRACTBecause unmanned aircraft systems (UAS) offer new perspectives on the atmosphere, their use in atmospheric science is expanding rapidly. In support of this growth, the International Society...

[1]  Shane D. Ross,et al.  Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science during the LAPSE-RATE Campaign , 2019, Sensors.

[2]  Julie K. Lundquist,et al.  The Effect of Wind-Turbine Wakes on Summertime US Midwest Atmospheric Wind Profiles as Observed with Ground-Based Doppler Lidar , 2013, Boundary-Layer Meteorology.

[3]  Brian Argrow,et al.  THE COLLABORATIVE C OLORAD O- NEBRAS KA UNM ANNED AIRCRAFT SYSTEM EXPERIMENT , 2011 .

[4]  Carrick Detweiler,et al.  Design and Evaluation of Sensor Housing for Boundary Layer Profiling Using Multirotors , 2019, Sensors.

[5]  J. Pinto,et al.  Assessment of Finescale Local Wind Forecasts Using Small Unmanned Aircraft Systems , 2020 .

[6]  David D. Turner,et al.  A New Generation of Ground-Based Mobile Platforms for Active and Passive Profiling of the Boundary Layer , 2019, Bulletin of the American Meteorological Society.

[7]  M. V. Ramana,et al.  Chasing Black Carbon using Autonomous Unmanned Aerial Vehicles. , 2006 .

[8]  Joachim Reuder,et al.  The Small Unmanned Meteorological Observer SUMO: Recent developments and applications of a micro-UAS for atmospheric boundary layer research , 2012, Acta Geophysica.

[9]  Benjamin L. Hemingway.  Geostatistical Detection of Thermodynamic Anisotropy in an Atmospheric Boundary Layer Using Small Unmanned Aircraft Systems , 2018 .

[10]  Phillip B. Chilson,et al.  Environmental and Sensor Integration Influences on Temperature Measurements by Rotary-Wing Unmanned Aircraft Systems , 2019, Sensors.

[11]  Björn Maronga,et al.  Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)—The Hailuoto 2017 Campaign , 2018, Atmosphere.

[12]  H. Baars,et al.  ALADINA – an unmanned research aircraft for observing vertical and horizontal distributions of ultrafine particles within the atmospheric boundary layer , 2014 .

[13]  J. Lundquist,et al.  Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign , 2018, Atmospheric Measurement Techniques.

[14]  David D. Turner,et al.  Improvements to the AERIoe Thermodynamic Profile Retrieval Algorithm , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[15]  Phillip B. Chilson,et al.  Considerations for temperature sensor placement on rotary-wing unmanned aircraft systems , 2018, Atmospheric Measurement Techniques.

[16]  Jens Bange,et al.  Measuring the local wind field at an escarpment using small remotely-piloted aircraft , 2017 .

[17]  B. Damiano,et al.  Coyote Unmanned Aircraft System Observations in Hurricane Edouard (2014) , 2016 .

[18]  Piero Toscano,et al.  The BLLAST field experiment: Boundary-Layer Late Afternoon and Sunset Turbulence , 2014 .

[19]  A. McGonigle,et al.  Unmanned aerial vehicle measurements of volcanic carbon dioxide fluxes , 2008 .

[20]  U. Löhnert,et al.  Information Content and Uncertainties in Thermodynamic Profiles and Liquid Cloud Properties Retrieved from the Ground-Based Atmospheric Emitted Radiance Interferometer (AERI) , 2014 .

[21]  Shane D. Ross,et al.  Coordinated Unmanned Aircraft System (UAS) and Ground-Based Weather Measurements to Predict Lagrangian Coherent Structures (LCSs) , 2018, Sensors.

[22]  Shelley L. Knuth,et al.  Observations of Antarctic Polynya With Unmanned Aircraft Systems , 2010 .

[23]  J. Bange,et al.  Measuring the Wind Vector Using the Autonomous Mini Aerial Vehicle M2AV , 2008 .

[24]  D. Muñoz‐Esparza,et al.  Generation of Inflow Turbulence in Large-Eddy Simulations of Nonneutral Atmospheric Boundary Layers with the Cell Perturbation Method , 2018, Monthly Weather Review.

[25]  Jamey Jacob,et al.  Vertical Sampling Scales for Atmospheric Boundary Layer Measurements from Small Unmanned Aircraft Systems (sUAS) , 2017 .

[26]  Julie K. Lundquist,et al.  Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics , 2015 .

[27]  M. V. Ramana,et al.  Warming trends in Asia amplified by brown cloud solar absorption , 2007, Nature.

[28]  Stanley G. Benjamin,et al.  Explicit Precipitation-Type Diagnosis from a Model Using a Mixed-Phase Bulk Cloud-Precipitation Microphysics Parameterization , 2016 .

[29]  D. Lawrence,et al.  High-Resolution Atmospheric Sensing of Multiple Atmospheric Variables Using the DataHawk Small Airborne Measurement System , 2013 .

[30]  Brian Argrow,et al.  Advancing Unmanned Aerial Capabilities for Atmospheric Research , 2019, Bulletin of the American Meteorological Society.

[31]  Shelley L. Knuth,et al.  Estimating Sensible and Latent Heat Fluxes Using the Integral Method from in situ Aircraft Measurements , 2014 .

[32]  Phillip B. Chilson,et al.  Observations of the Early Evening Boundary-Layer Transition Using a Small Unmanned Aerial System , 2012, Boundary-Layer Meteorology.

[33]  M. D. Stokes,et al.  Characterization of a Quadrotor Unmanned Aircraft System for Aerosol-Particle-Concentration Measurements. , 2016, Environmental science & technology.

[34]  Eric W. Frew,et al.  The tempest unmanned aircraft system for in situ observations of tornadic supercells: Design and VORTEX2 flight results , 2011, J. Field Robotics.

[35]  G. Holland,et al.  Applications of Aerosondes in the Arctic , 2004 .

[36]  Mark D. Ivey,et al.  A Bird’s-Eye View: Development of an Operational ARM Unmanned Aerial Capability for Atmospheric Research in Arctic Alaska , 2018, Bulletin of the American Meteorological Society.