NTSB CAROL · Event
Event FTW93LA065
Registry · N734GD
FAA Aircraft Registry record.
Make / Model
GULFSTREAM AEROSPACE GVIII-G700
Seats / Engines
9 seats · 2 engines
ADS-B equipped
Yes — Mode-S A9DA81
Registrant of record
GULFSTREAM AEROSPACE CORP
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
THE PILOT'S FAILURE TO MAINTAIN DIRECTIONAL CONTROL. A FACTOR WAS THE SNOW CONDITIONS
Factual narrative
On January 12, 1993, at 1245 mountain standard time, a Cessna 172N, N734GD, was substantially damaged following loss of control during takeoff. The student pilot sustained minor injuries. Weather for the CFR Part 91 flight was visual meteorological conditions. Zia Aviation Incorporated was the owner operator. During an interview with a Federal Aviation inspector the pilot stated he made an attempted takeoff on runway 20. He further stated that during the takeoff roll the airplane reached a point approximately 1,000 feet down the runway when "the airplane flipped over on its back." In a written statement the pilot provided, he stated that he was aware of the snow conditions on the ramp, taxiway, and runway. Additionally he stated that he planned on using soft field procedures for the takeoff. During the takeoff roll he reached a distance of 1,000 feet when the airplane began to drift left "rather rapidly." He reported that he did not want to use his brakes, but he did apply full right rudder without effect. He recalls that he had attained a ground speed of 45 knots when the left wheel entered a snow bank and the airplane nosed over to the inverted position. The airplane was released to the owner following completion of the field investigation. DURING AN ATTEMPTED TAKEOFF WITH AN ACCUMULATION OF SNOW PRESENT, THE PILOT LOST CONTROL DURING THE TAKEOFF GROUND ROLL. THE AIRPLANE HAD REACHED A POINT 1,000 FEET DOWN THE RUNWAY AND A GROUND SPEED OF 45 KNOTS WHEN THE LEFT MAIN GEAR STRUCK A SNOW BANK AND THE AIRPLANE NOSED OVER TO THE INVERTED POSITION Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1993_FTW93LA065.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.
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