NTSB CAROL · Event
Event ERA15CA043
Aircraft involved
Probable cause & findings
The pilot's loss of control while landing the tailwheel-equipped airplane in gusting wind conditions, which resulted in a ground loop.
Factual narrative
According to the pilot, while in the landing flare, the tailwheel-equipped airplane began to roll to the left. He applied right aileron to counteract the roll and provide wind correction; however, as the airplane decelerated during the landing roll, it lacked rudder authority to counteract a gust of wind from the right. The airplane ground looped 180 degrees to the right, and the left main landing gear collapsed, resulting in substantial damage to the outboard portion of the left wing and left horizontal stabilizer. The pilot reported no preimpact mechanical malfunctions or failures with the airplane that would have precluded normal operation. Recorded wind velocity at a nearby airport about the time of the accident was 15 knots, with gusts to 25 knots. According to the pilot, while in the landing flare, the tailwheel-equipped airplane began to roll to the left. He applied right aileron to counteract the roll and provide wind correction; however, as the airplane decelerated during the landing roll, it lacked rudder authority to counteract a gust of wind from the right. The airplane ground looped 180 degrees to the right, and the left main landing gear collapsed, resulting in substantial damage to the outboard portion of the left wing and left horizontal stabilizer. The pilot reported no preimpact mechanical malfunctions or failures with the airplane that would have precluded normal operation. Recorded wind velocity at a nearby airport about the time of the accident was 15 knots, with gusts to 25 knots. 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-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- — Environmental issues-Conditions/weather/phenomena-Wind-Gusts-Effect on operation
Verbatim from NTSB's published report. Source file
NTSB_2014_ERA15CA043.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 (loss of control). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation)
ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
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