Digital Commons Network^™

Vadpac Update, Laura Givens

Virginia Dental Journal

No abstract provided.

Annual Exams, Jackie Holloman

Virginia Dental Journal

No abstract provided.

Using Technology To Improve Your "Empty Chair Syndrome", Minh Tri Hoang Tran Dds

Virginia Dental Journal

No abstract provided.

Awaken The Sleeping Giant In Your Practice, Jared C. Kleine Dds

Virginia Dental Journal

No abstract provided.

What Exactly Is An Aegd?, Debra Haselton Dds

Virginia Dental Journal

No abstract provided.

The Virginia Meeting 2013

Virginia Dental Journal

No abstract provided.

Board Of Directors Actions In Brief June 16, 2012

Virginia Dental Journal

No abstract provided.

The Virginia Plan- Improving Access To Care And Medicaid Utilization, Ted Sherwin Dds

Virginia Dental Journal

No abstract provided.

Ethics Goes To The Movies, James Ethan Puryear Dds

Virginia Dental Journal

No abstract provided.

An Interview With Dr. Kirk Norbo, Kirk Norbo Dmd

Virginia Dental Journal

No abstract provided.

Delegates Approve Advertising And Pr Campaign, Michael Link Dds

Virginia Dental Journal

No abstract provided.

Message From The President, Kirk Norbo Dmd

Virginia Dental Journal

No abstract provided.

Letter To The Editor - A Dental Specialty, Divided, Marvin E. Pizer Dds, Ms, Ma, Ficd

Virginia Dental Journal

No abstract provided.

Message From The Editor, Richard F. Roadcap Dds

Virginia Dental Journal

No abstract provided.

Va Dent J October, November And December 2012

Virginia Dental Journal

No abstract provided.

Project G.L.E.N., Alexis Peshehonoff, Bernard Muich Iii, Makaylei Huggins, Nicholas Fazzolari, Liam John

ISARRA 2026

Project G.L.E.N., formally known as “Refining Enhanced Fujita Wind Estimates via Unmanned Collection of In-Situ Tornadic Data Measurements,” is an ongoing initiative aimed at advancing tornado research through the development and deployment of an unmanned tornado probe. Through the Gale Level Environmental Navigator (G.L.E.N.) probe, a remote-controlled unit equipped with specialized meteorological sensors and innovative design features, we aim to collect real-time, onsite data from within tornadoes. This approach allows for direct measurement of internal atmospheric conditions such as wind speeds, pressure fluctuations, temperature, humidity, and other storm dynamics while removing human risk from tornado interception, significantly enhancing …

Development Of An Uncrewed Aircraft Water Sampler, Justin Fratto, Marc D. Compere, Avinash Muthu Krishnan, David Zink, Kayla D. Taylor, Emel Sen-Kilic, Nickolas D. Macchiarella, Kevin A. Adkins

ISARRA 2026

Harmful algal blooms (HABs) are abundant in many regions of South Florida and produce toxins that pose significant health concerns for wildlife and surrounding human communities. Often blooming in warmer months due to a variety of environmental and anthropogenic factors, HABs can have detrimental effects on wildlife ecosystems, tourism and aquaculture infrastructure, and numerous other socioeconomic factors. Current monitoring techniques of HABs are limited in both safety and utility: satellite remote sensing lacks sufficiently high spatiotemporal resolution to be useful for HAB prediction and modeling, and crewed boat sampling is inefficient, disturbs HABs by introducing confounding mixing effects, and presents …

Real-Time Atmospheric Risk Detection Using Embedded Machine Learning With Low-Cost Aircraft-Based Sensors, Sanjana Singh, Stephen Mederios, Kranti Kumar Deveerasetty

ISARRA 2026

Rapidly shifting atmospheric phenomena, such as microbursts and clear-air turbulence, pose significant risks to low-altitude flight operations. These risks are pronounced for unmanned aircraft systems (UAS) and general aviation aircraft, including fixed-wing platforms and turboprop aircraft. Current forecasting systems usually lack the spatial and temporal resolution to detect localized threats in real time. This research focuses on the design and development of an aircraft-mounted atmospheric sensing system. It uses machine learning to classify flight risks. The system combines barometric pressure, temperature, and humidity data from a DPS310 pressure sensor and a BME180 environmental sensor. An embedded computer allows continuous in-flight …

Observing Difficult And Dangerous Regions Of The Hurricane Environment: Successes, Lessons Learned And Future Challenges Using Uncrewed Systems And Other Advanced Emerging Technologies, Joseph J. Cione, Joshua B. Wadler, Jun A. Zhang, Annette T. Hollignshead, Nik Pawlenko

ISARRA 2026

Since 2009, NOAA has used an air-launched, small uncrewed aircraft system (sUAS) designed to sample the highly turbulent boundary layer environment of tropical cyclones (TCs). Since 2014, fifty four (54) sUAS have been successfully deployed including operations into seven (7) Major Hurricanes: Edouard (2014), Maria (2017), Michael (2018), Ian (2022), Helene (2024) Milton (2024) and Melissa (2025). Since that time, promising results from these early missions have been well-documented and appeared in multiple peer-review articles. Since 2018, NOAA has invested resources in three new sUAS platforms that have specifically been designed to operate within the low level, high wind region …

Using The Swuf-3d Uas Fleet To Determine Heat Flux Characteristics In An Alpine Valley, Francesca Lappin, Almut Alexa, Andrea Wiech, Norman Wildmann

ISARRA 2026

Advancements in uncrewed aerial system (UAS) development and meteorological sensor integration have created a valuable tool to observe turbulence in the atmospheric boundary layer (ABL). Deploying a fleet of UASs allows the flexibility to sample the spatiotemporal structure of turbulence; such observations are particularly useful in complex terrain where it is difficult to sample with classical approaches. During the TEAMx campaign, the DLR SWUF-3D fleet of UAS was operated in a remote Alpine valley. Each SWUF-3D UAS is outfitted with a rapid response temperature sensor and can determine the 3D wind field at high-resolution, and these measurements are calibrated in-field. …

The Swuf-3d Multicopter Fleet For Wind Energy Research, Norman Wildmann, Johannes Kistner, Francesca M. Lappin, Julia Menken

ISARRA 2026

The SWUF-3D fleet comprises 35 multicopter drones, optimized, calibrated, and validated for high-resolution three-dimensional measurements of wind, temperature, and humidity—enabling the capture of turbulent structures down to scales of a few meters. Coordinated fleet flights facilitate the measurement of spatial correlations, coherence, and advanced multi-point turbulence statistics. For the validation of wind turbine load and performance models, accurate inflow and wake characterization is essential but challenging with conventional in situ and remote sensing techniques. We present validation of the drone fleet’s measurements against a reference array of meteorological masts at the DLR research wind farm WiValdi. Lateral coherence and velocity …

Bridging The Gap Between Innovation And Adoption: Challenges In Validating Meteorological Drone Observations, Melanie Kobras, Byron Drew, Brad Guay

ISARRA 2026

Meteorological drone technology has matured rapidly in recent years, offering new capabilities for high-resolution atmospheric observations in environments that are difficult to access with conventional systems. At the same time, all weather forecasting relies on frequent and high-quality observations. Despite this, the path from technical capability to operational acceptance remains unclear. The lack of established evaluation processes and recognized third-party assessment frameworks creates significant barriers, leading to repeated testing efforts and a prolonged time to operational deployment. This is particularly challenging for smaller technology providers and ultimately slows the integration of valuable new observational data into forecasting.

To address this …

Samurai In The Arctic - Turbulent Flux Measurements Across The Marginal Ice Zone From R/V Kronprins Haakon, Frederike S. Möller, Stephan T. Kral, Alexander Seeling, Joachim Reuder

ISARRA 2026

The turbulent heat exchange across the marginal ice zone (MIZ) is characterized by substantial flux gradients between open water and solid ice. Near polynyas and leads, existing bulk flux approaches break down, leading to unreliable flux estimates. Direct turbulent flux measurements across the MIZ remain sparse; existing measurement approaches, such as eddy-covariance systems, are either static and logistically impractical (ice-deployed) or suffer from flow distortion (ship-borne). Neither approach can systematically sample fluxes across varying ice conditions within one campaign.

The SAMURAI-S system---a heavy-lifting octocopter carrying a sonic anemometer on a payload suspended \SI{20}{\m} below the rotor plane---has been validated against …

Toward A Data‑Driven Framework For Optimizing Atmospheric Sensor Placement On Multirotor Suas, Edgar E. Prada, Kevin A. Adkins, Bryan Watson, Christopher S. Cerqueira, Avinash Muthu Krishnan

ISARRA 2026

11th Conference of the International Society for Atmospheric Research using Remotely-piloted Aircraft, 24–28 August 2026 in Daytona Beach, Florida, USA

Toward a Data‑Driven Framework for Optimizing Atmospheric Sensor Placement on Multirotor sUAS

Edgar E. Prada^1*, Kevin A. Adkins², Bryan Watson¹, Christopher S. Cerqueira¹,

Avinash Muthu Krishnan³

¹ Electrical Engineering and Computer Science Department, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

² College of Aviation, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

³Aeronautical Science Department, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

   ^* Correspondence email: [email protected]

Multirotor small uncrewed aircraft systems …

Cfd Analysis Of Atmospheric Boundary Layer Measurements On Planetary Rotorcraft, Jackson Asiatico, Ralph Lorenz, Michael Kinzel

ISARRA 2026

The Dragonfly mission will deploy a rotorcraft lander equipped with the Dragonfly Geophysics and Meteorology Package (DraGMet) to explore Titan’s surface and atmosphere through measurements of wind velocity, pressure, temperature, and atmospheric conditions. However, the vehicle’s bluff body geometry presents a challenge common amongst UAS atmospheric measurements, as flow disturbances around the lander create directionally dependent sensor biases. This study employs high-fidelity computational fluid dynamics (CFD) simulations to characterize measurement errors in DraGMet’s meteorological sensor suite. Simulations were conducted across multiple azimuthal wind angles, extracting velocity data at fixed sensor locations and computing wall shear stress distributions across the vehicle …

Coptersonde: Progress Toward Autonomous Boundary Layer Profiling Stations, Antonio Segales, Tyler Bell, Joshua Gebauer, Elizabeth Smith

ISARRA 2026

Accurate observations of the atmospheric boundary layer remain a major limitation in numerical weather prediction, especially at scales relevant to convective initiation, boundary layer evolution, and rapidly changing local environments. This presentation introduces the CopterSonde, a purpose-built weather-sensing UAS developed at the University of Oklahoma to collect thermodynamic and kinematic vertical profiles of the lower atmosphere. The talk will highlight how years of field-driven engineering, deployment, and refinement have matured the platform from an academic prototype into a reliable system for challenging boundary layer conditions, with recent deployment results demonstrating improved data quality, reliability, and operational readiness in strong winds, …

Atmospheric Science On Titan From The Dragonfly Rotorcraft, Ralph Lorenz

ISARRA 2026

NASA's Dragonfly rotorcraft lander is under construction for launch in 2028 to Saturn's moon Titan.  The ~900kg vehicle takes advantage of Titan's dense nitrogen atmosphere and low gravity to effect mobility using 8 rotors. The vehicle will make meteorological measurements on the surface, as well as during the ~20 minute flights it will make every Titan day or two (thus, once or twice per month). Flights will reach several hundred meters altitude, profiling most or all of the Planetary Boundary Layer (PBL), depending on the time of day.  Additionally, measurements are made at Titan arrival, where the vehicle descends by …

Impact Of In-Situ Observations From Three Torus Cases On Model Analyses And Forecasts Of Severe Convection, Robert Szot, Adam Houston, Matthew Wilson

ISARRA 2026

The quality of forecasts of severe deep convection in high-resolution numerical weather prediction is dependent on the representativeness of the model initial conditions. This representativeness may be negatively impacted by limited observation availability and by the presence of mesoscale heterogeneities not detected by conventional observations assimilated into convection-allowing models. By assimilating storm-scale observations from the Targeted Observation by Radars and Uncrewed Aircraft Systems (UAS) of Supercells (TORUS) campaign into an ensemble styled after the Warn-on-Forecast System, this study aims to investigate if data from field work platforms can improve the quality of initial conditions in the ensemble, potentially leading to …

Field Evaluation Of Remote Identification Broadcast Performance: Discrepancies Between Manufacturer Specifications And Operational Results, Walaa Alqwider, Bouteina Driouche

ISARRA 2026

Remote Identification (RID) is a regulatory requirement for Unmanned Aircraft Systems (UAS) operating in the National Airspace System, and the data it provides serves as a foundational input for a range of future UAS operations and services. To date, the real-world performance of commercially available RID devices has not been thoroughly characterized under operational flight conditions. This study presents the results obtained from a series of RID field tests in which multiple commercial off-the-shelf RID broadcast modules were evaluated for positional accuracy, broadcast continuity, and reception reliability. Testing was conducted using both stationary and dynamic flight profiles at varying horizontal …

Turbulence Modeling Effects On Wall Shear Stress For A Dragonfly Rotor In Ground Effect, Michael Marques, Jackson Asiatico, Ralph Lorenz, Michael Kinzel

ISARRA 2026

11th Conference of the International Society for Atmospheric Research using Remotely-piloted Aircraft 25–28 August 2026 at Embry-Riddle Aeronautical University, Daytona Beach, United States

Evaluation of Turbulence Modeling Effects on Ground Shear Stress and Tip Vortex Dynamics for the Dragonfly Rotor in Ground Effect

Michael Marques1, Jackson Asiatico1, Ralph Lorenz2, Michael Kinzel1

1Embry-Riddle Aeronautical University, Daytona Beach, FL, 32114, USA
2Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA

∗Corresponding email: [email protected]

NASA Dragonfly rotorcraft is designed to perform leap-frog flights across dune fields of Titan, requiring low-altitude operations during takeoff, landing, and hover. This study examines the aerodynamic behavior of the …