NTSB CAROL · Event
Event GAA16CA155
Registry · N975MA
FAA Aircraft Registry record.
Make / Model
PIPER PA 46-350P
Year of manufacture
2010 · 6 years old at event
TCDS
A25SO · PIPER AIRCRAFT INC
Engine
LYCOMING TIO-540-AE2A (350 hp)
Seats / Engines
6 seats · 1 engine
Last airworthiness date
20100624
ADS-B equipped
Yes — Mode-S AD974C
Registrant of record
SOUTHWORTH AIRCRAFT INC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control during the landing touchdown in gusty crosswind conditions, which resulted in runway excursion, and nose gear collapse.
Factual narrative
The pilot reported that during touch down in gusty crosswind conditions, the airplane veered off the runway to the left. He further reported when he corrected to get back onto the runway the nose gear collapsed. The airplane sustained substantial damage to the left wing. According to the pilot there were no preimpact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. The pilot reported that during touch down in gusty crosswind conditions, the airplane veered off the runway to the left. He further reported when he corrected to get back onto the runway the nose gear collapsed. The airplane sustained substantial damage to the left wing. According to the pilot there were no preimpact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. 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-Crosswind-Response/compensation
- — Environmental issues-Conditions/weather/phenomena-Wind-Gusts-Response/compensation
Verbatim from NTSB's published report. Source file
NTSB_2016_GAA16CA155.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 ↗