NTSB CAROL · Event
Event ANC23LA022
Registry · N9572G
FAA Aircraft Registry record.
Make / Model
CESSNA U206F
Year of manufacture
1972 · 51 years old at event
TCDS
A4CE · TEXTRON AVIATION INC
Engine
CONT MOTOR IO 520 SERIES (285 hp)
Seats / Engines
6 seats · 1 engine
Last airworthiness date
19720306
ADS-B equipped
Yes — Mode-S AD514D
Registrant of record
JONES ROBERT D JR
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain directional control during takeoff in flat light conditions which resulted in a loss of control and impact with a snow berm.
Factual narrative
The pilot reported that the runway had about 12 inches of new snow and the runway edge lights were not visible. During the takeoff run, in flat light conditions, he was unable to determine the centerline of the runway, and the airplane subsequently drifted left of centerline. The left main landing gear impacted a snow berm along the edge of the runway and the airplane spun around 90°, which resulted in substantial damage to the right wing. The pilot reported that there were no preaccident mechanical malfunctions or anomalies 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).
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Environmental issues-Physical environment-Runway/land/takeoff/taxi surface-Snow/slush/ice covered surface-Effect on personnel
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained
- — Environmental issues-Conditions/weather/phenomena-Light condition-Flat light-Contributed to outcome
Verbatim from NTSB's published report. Source file
NTSB_2023_ANC23LA022.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 (loss of control). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation)
ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
Browse the full corpus — academia portal ↗