NTSB CAROL · Event
Event CEN12CA375
Aircraft involved
Probable cause & findings
The pilot's failure to abort the takeoff, which resulted in a runway excursion.
Factual narrative
The airplane was departing from a 2,400 foot asphalt runway on an aerial application flight. The airplane was loaded to its maximum gross takeoff weight and configured with 10 degrees of flaps prior to the takeoff roll. The pilot reported that a tall stand of trees at the southeast side of the departure end of the runway blocked the wind and seemed to “create a void in the air” which resulted in an extended takeoff roll. Electing not to abort the takeoff, the pilot added more flaps but the airplane was unable to get airborne. The airplane went off the end of the runway, hit a ditch, and skidded across the road into a field. The landing gear separated from the airframe and the airplane’s fuselage and control surfaces sustained substantial damage. The pilot reported that the airplane did not have a mechanical malfunction during the attempted takeoff. The airplane was departing from a 2,400-foot asphalt runway on an aerial application flight. The airplane was loaded to its maximum gross takeoff weight and configured with 10 degrees of flaps prior to the takeoff roll. The pilot reported that a tall stand of trees at the southeast side of the departure end of the runway blocked the wind and seemed to “create a void in the air,” which resulted in an extended takeoff roll. Electing not to abort the takeoff, the pilot added more flaps in an attempt to get the airplane airborne; however, he was unsuccessful. The airplane went off the end of the runway, hit a ditch, and skidded across the road into a field. The landing gear separated from the airframe and the airplane’s fuselage and control surfaces sustained substantial damage. The pilot reported that there were no mechanical malfunctions or failures that would have precluded normal operation during the attempted 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 Personnel issues-Action/decision-Action-Incorrect action performance-Pilot - C
Verbatim from NTSB's published report. Source file
NTSB_2012_CEN12CA375.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 (runway excursion). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- 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,…
Browse the full corpus — academia portal ↗