GAA19CA200
2019-04-04 · Fort Worth, Texas, United States · None · 1 aircraft · Status: Completed
Airport T67
Aircraft involved
Probable cause & findings
The pilot's failure to maintain lateral control in flight and his subsequent loss of directional control during landing with a crosswind, which resulted in a runway excursion and impact with terrain.
Factual narrative
The pilot reported that, while on short final, about 50 feet above the ground, the airplane rolled about 30º to the left. He applied full right aileron and leveled the airplane about a couple feet above the ground, but the airplane descended on to the runway, exited the runway to the left, and impacted terrain. The airplane sustained substantial damage to the both wings and fuselage. The pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. The automated weather observation station located on an airport about 5 NM away reported that, about 15 minutes before the accident, the wind was from 050° at 16 knots. The pilot reported the wind was 050º at 10 knots, gusting up to 20 knots. The weight-shift control aircraft landed on runway 25. The pilot reported that, while on short final, about 50 ft above ground level, the airplane rolled about 30º to the left. He applied full right aileron and leveled the airplane about 2 ft above ground level, but the airplane descended onto the runway, exited the runway to the left, and impacted terrain. The airplane sustained substantial damage to both wings and the fuselage. The pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. 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-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Lateral/bank control-Not attained/maintained - C
- C Environmental issues-Conditions/weather/phenomena-Wind-Crosswind-Effect on operation - C
Verbatim from NTSB's published report. Source file
NTSB_2019_GAA19CA200.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.
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Related research
Matched on aircraft type or causal vocabulary (runway excursion). All research papers
- SKYbrary (Eurocontrol) 2024 · SKYbrary article Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- 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.
- Flight Safety Foundation 2024 · FSF / AeroSafety World Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…