NTSB CAROL · Event
Event ERA23LA217
Registry · N3796T
FAA Aircraft Registry record.
Make / Model
PIPER PA-28R-180
Year of manufacture
1967 · 56 years old at event
Engine
LYCOMING I0360 SER (180 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
19671025
ADS-B equipped
Yes — Mode-S A45876
Registrant of record
WHITMORE ALLEN R
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control while taking off in a crosswind, which resulted in a runway excursion and impact with a berm. Contributing was the automated weather briefing which failed to include accurate wind information.
Factual narrative
The pilot listened to the recorded weather information then took off on the airport’s only paved runway with a direct crosswind of about 5 kts. He described that during the initial climb, the airplane encountered either a downdraft or increasing wind over trees next to the runway that resulted in the airplane rolling left. The pilot attempted to counteract the roll; however, the airplane settled off the sloped left side of the runway, impacted a berm, bounced up, and came to rest on the taxiway. The left wing was substantially damaged. The pilot reported that there were no preimpact mechanical malfunctions or failures of the airplane that would have precluded normal operation. Postaccident communication with the Federal Aviation Administration revealed that the airport manager’s weather reporting system included gusting wind that was not reported by the automated weather system. 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).
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Lateral/bank control-Attain/maintain not possible
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Environmental issues-Conditions/weather/phenomena-Wind-Gusts-Availability of related info
- — Environmental issues-Conditions/weather/phenomena-Wind-Gusts-Ability to respond/compensate
Verbatim from NTSB's published report. Source file
NTSB_2023_ERA23LA217.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 ↗