NTSB CAROL · Event
Event ATL07CA082
Registry · N22QT
FAA Aircraft Registry record.
Make / Model
DIAMOND AIRCRAFT DA 40
Year of manufacture
2005 · 2 years old at event
Engine
LYCOMING I0360 SER (180 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
20050324
ADS-B equipped
Yes — Mode-S A1E018
Registrant of record
ALAMEDA AERO CLUB
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The student pilot's inadequate compensation for the gusty wind conditions during the landing flare, resulting in a loss of control, and an in-flight collision with terrain. A factor associated with the accident was the wind gusts.
Factual narrative
An FAA inspector stated that during his interview with the student pilot, the pilot said that "the winds were very gusty" during the approach. On the final approach to land, according to the pilot, the airplane rolled left. The left wing tip struck the ground, and the airplane began to cartwheel. When questioned further, the student pilot said that he did not experience any mechanical or flight control anomalies prior to the accident. The FAA inspector examined the airplane and found no flight control or mechanical anomalies. The airplane was destroyed in the accident. The student pilot did not submit the NTSB 6120.1 accident/incident form. Winds at a nearby reporting station were from 310 degrees at 11 knots with gusts to 19 knots. According to an FAA inspector who interviewed the student pilot, the student pilot stated that during the final approach to land in gusty wind conditions, the airplane rolled left, and the left wingtip struck the ground. The airplane cartwheeled, and sustained substantial damage to the wings and fuselage. The FAA inspector said the student pilot told him that there were no preaccident mechanical problems with the airplane. Additionally, the FAA inspector examined the airplane, and found no flight control or mechanical anomalies. Winds at a nearby reporting station were from 310 degrees at 11 knots, with gusts to 19 knots. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2007_ATL07CA082.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 ↗