CEN12CA361
2012-06-10 · Moscow Mills, Missouri, United States · None · 1 aircraft · Status: Completed
Airport M71
Aircraft involved
Probable cause & findings
The pilot's failure to maintain control of the airplane during takeoff in a gusty crosswind, which resulted in a runway excursion.
Factual narrative
The pilot reported that she departed from runway 27 with the wind from 180 degrees at 13 knots gusting to 23 knots. During takeoff the airplane encountered a strong gust of wind when the airplane was about 5 to 10 feet above the runway. The airplane drifted left of centerline and bounced on the runway. The pilot steered the airplane back to the centerline and attempted to abort the takeoff by applying full brakes and pulling the throttle back to idle. The airplane went off the end of the 3,227 foot runway, and the pilot was unable to stop the airplane on the wet grass as it went down an embankment. The airplane crossed a road and went into a steep ditch. The airplane’s firewall sustained substantial damage. The pilot reported that the airplane did not have a mechanical malfunction or failure. The pilot reported that she took off on runway 27 with the wind from 180 degrees at 13 knots gusting to 23 knots. When the airplane was about 5 to 10 feet above the runway, the airplane encountered a strong gust of wind, and the airplane drifted left of centerline and descended back onto the runway. The pilot steered the airplane back to the centerline and attempted to abort the takeoff by applying full brakes and pulling the throttle back to idle. The airplane went off the end of the 3,227 foot long runway onto wet grass and continued down an embankment, across a road, and into a steep ditch. The airplane’s firewall sustained substantial damage. The pilot reported that there were no preaccident mechanical malfunctions or failures that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- F Environmental issues-Conditions/weather/phenomena-Wind-Crosswind-Effect on operation - F
- F Environmental issues-Conditions/weather/phenomena-Wind-Gusts-Effect on operation - F
- — Environmental issues-Physical environment-Terrain-Wet/muddy-Effect on operation
- — Environmental issues-Physical environment-Terrain-Sloped/uneven-Effect on operation
Verbatim from NTSB's published report. Source file
NTSB_2012_CEN12CA361.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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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,…