GAA19CA101
2018-12-15 · ANAHUAC, Texas, United States · None · 1 aircraft · Status: Completed
Airport T00
Current FAA registration · N923DJ
- Make / Model
- CLIFFORD E MASSEY AR-1
- Year of manufacture
- 2016 · 2 years old at event
- Engine
- ROTAX 912ULS SERIES (100 hp)
- Seats / Engines
- 2 seats · 1 engine
- Last airworthiness date
- 20160331
- ADS-B equipped
- Yes — Mode-S ACC9A3
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's improper landing flare in gusting crosswind conditions.
Factual narrative
The pilot of the gyroplane reported that, while practicing simulated engine out landings, he "experienced" a sudden loss of lift during the flare due to a "possible strong wind shear". The gyroplane then dropped about 4 ft vertically, he attempted to recover with full power, but the gyroplane landed hard during. Subsequently, the propeller struck the ground, the gyroplane "bounced" left, and the rotor impacted the ground and sheared. The gyroplane sustained substantial damage to the main rotor and mast. The pilot reported that there were no preaccident mechanical failures or malfunctions with the gyroplane that would have precluded normal operation. The pilot reported the weather at the accident airport, about the time of the accident, was wind 300° at 12 knots, gusting to 15 knots. The pilot landed the gyroplane on runway 35. The pilot of the gyroplane reported that, while practicing simulated engine-out landings, the gyroplane experienced a sudden loss of lift during the flare due to "possible strong wind shear." The gyroplane then descended about 4 ft, and he attempted to recover with full power, but the gyroplane landed hard. Subsequently, the propeller struck the ground, the gyroplane bounced, and the rotor impacted the ground and sheared off. The gyroplane sustained substantial damage to the main rotor and mast. The pilot reported that there were no preaccident mechanical failures or malfunctions with the gyroplane that would have precluded normal operation. The pilot reported that the weather at the airport, about the time of the accident, was wind from 300° at 12 knots, gusting to 15 knots. The pilot landed the gyroplane on runway 35. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Landing flare-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- — Environmental issues-Conditions/weather/phenomena-Wind-Crosswind-Effect on operation
- — Environmental issues-Conditions/weather/phenomena-Wind-Gusts-Effect on operation
Verbatim from NTSB's published report. Source file
NTSB_2018_GAA19CA101.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
- TallyAero Live Wire Aviation press
- NTSB CAROL Agency ↗
- NTSB Docket Agency ↗
- Aviation Safety Network Aviation press ↗
- Kathryn's Report Aviation press ↗
- Aviation Herald Aviation press ↗
- AVweb Aviation press ↗
- Pilots of America Community ↗
- Reddit /r/flying Community ↗
- FlightAware Aviation press ↗
- AOPA accident database Aviation press ↗
- Google News News ↗
- DuckDuckGo News ↗
Related research
Matched on aircraft type or causal vocabulary (icing, wind shear). All research papers
- arXiv 2026 · arXiv preprint Enabling Beyond-Visual-Line-of-Sight Drones Operation over Open RAN 5G Networks with Slicing
Among the foretold claims of the transition from 5G to 6G, Beyond-Visual-Line-of-Sight (BVLoS) drone operation has emerged as a prominent Internet-of-Robots enabler.
- NASA NTRS 2026 · Contractor Report (CR) Icing Physics Studies Using the 3D SIDRM Test Article: 2023 Icing Tests Analysis
In-flight icing is an important safety issue and is a factor that affects aircraft design and performance. Newer regulations are driving a need for improvements in airframe and engine icing simulation…
- arXiv 2025 · arXiv preprint Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN
The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urb…
- NASA NTRS 2025 · Presentation NASA Icing Update – March 2025
This NASA Icing Update was prepared for presentation to the SAE International AC-9C Inflight Icing Technology Committee. This update includes the following topics: planned Rotational Icing Scaling tes…
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER) A Mathematical Model on the Temporal Dynamics of Aviation Competitive Pricing
This study investigates the competitive dynamics of airport pricing using U.S. airport data to validate the findings. It employs linear and nonlinear ordinary differential equation models to analyze t…
- arXiv 2024 · arXiv preprint An energy-stable phase-field model for droplet icing simulations
A phase-field model for three-phase flows is established by combining the Navier-Stokes (NS) and the energy equations, with the Allen-Cahn (AC) and Cahn-Hilliard (CH) equations and is demonstrated ana…