NTSB CAROL · Event
Event NYC94LA020
Aircraft involved
Probable cause & findings
THE PILOT'S INADEQUATE COMPENSATION FOR WIND CONDITIONS DURING TAKEOFF, AND THE SUBSEQUENT LOSS OF CONTROL AND COLLISION WITH TREES. A FACTOR RELATED TO THE ACCIDENT WERE THE ADVERSE WINDS.
Factual narrative
On Sunday, October 24, 1993, at 1536 eastern daylight time, a Cessna 182H, N2111W, registered to and piloted by Frederick A. Ware, Jr., was destroyed while attempting a takeoff from the Lakeside Airport, Griswold, Connecticut. The pilot and pilot/passenger received serious injuries. Visual meteorological conditions prevailed, and no flight plan was filed. The flight was being conducted under 14 CFR 91. Witnesses observed the airplane take off on runway 11. After becoming airborne, the airplane drifted to the left of the runway centerline and collided with trees. The airplane subsequently impacted the ground and was destroyed by fire. The witnesses said that at the time of the accident there was a strong crosswind and gusty wind conditions at the airport. In his report, the pilot stated: ...I performed a pre-flight inspection and engine run-up as usual. Although the wind had changed direction, it now appeared to be going down the runway with less velocity than when we landed. I attempted a take off. Once airborne, a very strong crosswind took over and the engine didn't seem to have its usual power...While I fought to counteract the efforts of the wind and keep the wings level, the wind turned out to be just too strong and the plane hit a tree on the side of the runway. There was no wind information recorded at the airport. The nearest official wind was reported at Groton, Connecticut, located 16 miles from the accident. These winds were reported as: 230 degrees at 15 knots. Mr. Burt Lappe, Air Safety Inspector (Airworthiness) for the Federal Aviation Administration, conducted an examination of the engine. He stated that impact and fire damage prevented running the engine, but he was able to check the magnetos for spark; observe rotation of the engine drive train from the propeller to the accessory section; and confirm compression in each cylinder. No discrepancies were noted in his examination. THE PILOT REPORTED, 'I ATTEMPTED TO TAKEOFF. ONCE AIRBORNE, A VERY STRONG CROSSWIND TOOK OVER AND THE ENGINE DIDN'T SEEM TO HAVE ITS USUAL POWER.' THE PILOT TRIED TO COUNTERACT THE WIND, BUT THE AIRPLANE DRIFTED OFF THE CENTERLINE AND IMPACTED TREES ON THE LEFT SIDE OF THE RUNWAY. WITNESSES REPORTED THERE WAS A STRONG CROSSWIND AT THE TIME OF THE ACCIDENT. THE INVESTIGATION DID NOT DISCLOSE EVIDENCE OF MECHANICAL MALFUNCTION. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1993_NYC94LA020.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
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- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
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- 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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