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Open AccessArticle

Using a Balloon-Launched Unmanned Glider to Validate Real-Time WRF Modeling

1
Department of Chemistry, University of Kentucky, Lexington, KY 40506, USA
2
Director of SaaS Development, TempoQuest Inc., Boulder, CO 80303, USA
3
Stratodynamics Aviation Inc., Kenilworth, ON N0G 2E0, Canada
4
TruWeather Solutions, Reston, VA 20194, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(8), 1914; https://doi.org/10.3390/s19081914
Received: 23 February 2019 / Revised: 3 April 2019 / Accepted: 20 April 2019 / Published: 23 April 2019
(This article belongs to the Special Issue Application of Unmanned Aircraft Systems for Atmospheric Science)
The use of small unmanned aerial systems (sUAS) for meteorological measurements has expanded significantly in recent years. SUAS are efficient platforms for collecting data with high resolution in both space and time, providing opportunities for enhanced atmospheric sampling. Furthermore, advances in mesoscale weather research and forecasting (WRF) modeling and graphical processing unit (GPU) computing have enabled high resolution weather modeling. In this manuscript, a balloon-launched unmanned glider, complete with a suite of sensors to measure atmospheric temperature, pressure, and relative humidity, is deployed for validation of real-time weather models. This work demonstrates the usefulness of sUAS for validating and improving mesoscale, real-time weather models for advancements toward reliable weather forecasts to enable safe and predictable sUAS missions beyond visual line of sight (BVLOS). View Full-Text
Keywords: UAV; UAS; glider; meteorology; weather; WRF; ARW; GFS; model; validation; drones; balloon; radiosonde; temperature; pressure; relative humidity UAV; UAS; glider; meteorology; weather; WRF; ARW; GFS; model; validation; drones; balloon; radiosonde; temperature; pressure; relative humidity
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Schuyler, T.J.; Gohari, S.M.I.; Pundsack, G.; Berchoff, D.; Guzman, M.I. Using a Balloon-Launched Unmanned Glider to Validate Real-Time WRF Modeling. Sensors 2019, 19, 1914.

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