NTSB CAROL · Event
Event LAX04LA033
Aircraft involved
Probable cause & findings
the pilot's improper recovery from a bounced landing, and hi failure to maintain directional control during landing rollout.
Factual narrative
On November 2, 2003, about 1200 Pacific standard time, a Davidson-Thorpe T18, N66MY, veered off the runway and nosed over at Harris Ranch Airport, Coalinga, California. The pilot/owner was operating the airplane under the provisions of 14 CFR Part 91. The commercial pilot sustained serious injuries, and one passenger sustained minor injuries. The airplane sustained substantial damage. The personal cross-country flight departed Santa Maria, California, about 1100, en route to Fresno, California, with a stop at Harris Ranch for lunch. Visual meteorological conditions prevailed, and a flight plan had not been filed. The pilot reported to a sheriff's department officer that during final approach to the runway, the airplane's airspeed was faster than normal. After touchdown, the airplane bounced down the runway, and began to veer to the left. The pilot experienced a loss of control, and the airplane continued off the runway, nosed over, and came to rest inverted. A pilot in the landing pattern behind the accident airplane reported witnessing the airplane land on runway 32. After touchdown, the airplane veered off the left side of the runway. The right wing contacted the ground, and then the airplane nosed over. A California Highway Patrol officer responded to the scene, and he estimated that the winds were from 140 degrees at 5 knots. Despite repeated attempts by the Safety Board investigator, the pilot failed to submit a Pilot/Operator Aircraft Accident Report (NTSB Form 6120.1/2). The airplane veered off the runway during landing rollout and nosed over. A pilot witness reported that during final approach to the runway, the airplane's airspeed was faster than normal. After touchdown, the airplane bounced down the runway, and began to veer to the left. The pilot experienced a loss of control, and the airplane continued off the runway, nosed over, and came to rest inverted. Police officers at the scene estimated that the winds were from 140 degrees at 5 knots. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2003_LAX04LA033.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
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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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