NTSB CAROL · Event
Event WPR13CA039
Registry · N153TB
FAA Aircraft Registry record.
Make / Model
SOCATA TB 30 EPSILON
Year of manufacture
1988 · 24 years old at event
Engine
LYCOMING AEIO540-L1B5D (300 hp)
Seats / Engines
2 seats · 1 engine
Last airworthiness date
20200613
ADS-B equipped
Yes — Mode-S A0D6FF
Registrant of record
STINIS CURTISS T TRUSTEE
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain directional control during takeoff, which resulted in a runway excursion and collision with parked aircraft. Contributing to the accident was the pilot's lack of experience in the airplane make/model.
Factual narrative
The pilot was practicing touch-and-go landings with a reported 9-knot wind, clear skies, and no mention of any crosswind gusts. On the right crosswind and downwind legs, the pilot noted light turbulence. After a short approach and a smooth landing, he applied power to achieve rotation speed. However, as the airplane lifted off by only a few feet, it started getting blown left of the center line. Despite full rudder and aileron deflection correction to counter the crosswind, the airplane continued to point across a taxiway. While pointing sideways to the runway, the airplane was traveling at takeoff speed, yet not climbing at a rate that would clear parked aircraft. The pilot decided to abort the takeoff, and subsequently the airplane collided with the tail of a parked helicopter, spun a few degrees clockwise, and came to rest perched on its left wing, which sustained substantial damage. The pilot reported no preimpact mechanical malfunctions or failures with the airplane that would have precluded normal operation. The pilot reported that he had accumulated 3 hours in light sport airplanes, and felt that because of their light weight, they were more susceptible to crosswinds and turbulence than other airplanes he had flown. He also noted that the controls were configured significantly different than any of the other airplanes he had flown. His previous flights in the accident make/model were in calm air, and he felt his time in this make/model was insufficient to instill the reflexive familiarity necessary to control the airplane during takeoff with a strong crosswind. The pilot intended to practice touch-and-go landings on a runway nearly aligned with the reported 9-knot wind, in clear weather conditions. He noted no mention of any wind gusts in the airport’s automatic terminal information service weather information before he took off. However, the pilot noticed light turbulence during the right crosswind and downwind legs in the traffic pattern. After a short approach and a smooth landing, he applied power, achieved rotation speed, and lifted off again. However, when the airplane was only a few feet off the ground, the wind started to blow it left of the center line. Although the pilot applied full rudder and aileron deflection to counter the crosswind, the airplane continued to track toward the side of the runway and was not climbing at a rate that would clear parked aircraft. The pilot aborted the takeoff, and the airplane subsequently collided with the tail of a parked helicopter, spun a few degrees clockwise, and came to rest on its left wing, which sustained substantial damage. The pilot reported no preimpact mechanical malfunctions or failures with the airplane that would have precluded normal operation. The pilot reported that he had flown about 3 hours in the accident airplane, which was a light sport airplane. He believed that because of the airplane’s relatively light weight, it was more susceptible to crosswind and turbulence than other airplanes he had flown. He also noted that the controls were configured significantly different than any of the other airplanes he had flown. His previous flights took place in calm air, and the pilot thought that his time in the accident airplane was insufficient to instill the reflexive familiarity necessary to control the airplane during the accident takeoff. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Crosswind correction-Not attained/maintained - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
- F Personnel issues-Experience/knowledge-Experience/qualifications-Total experience w/ equipment-Pilot - F
- C Personnel issues-Action/decision-Action-Incorrect action performance-Pilot - C
Verbatim from NTSB's published report. Source file
NTSB_2012_WPR13CA039.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (icing, runway excursion, turbulence). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- NASA NTRS 2025 · Presentation
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper
Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Embry-Riddle Scholarly Commons 2023 · Faculty research project
Understanding the Coupled Interactions Between Hair-Like Micromechanoreceptors and Wall Turbulence
This research focuses on understanding the interactions between turbulent flows and long (high aspect ratio), flexible hair-like microstructures or micropillars inspired by those encountered in nature…
- arXiv 2026 · arXiv preprint
Direct Numerical Simulations of Ice-Ocean Boundary Turbulence
Turbulent heat and freshwater transport at ice-ocean interfaces controls glacier and iceberg melt rates, yet the underlying physics remains poorly constrained.
- 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…
Browse the full corpus — academia portal ↗