NTSB CAROL · Event
Event NYC71DFM03
Registry · N37832
FAA Aircraft Registry record.
Make / Model
CULVER LFA
Year of manufacture
1941 · 29 years old at event
Engine
FRANKLIN 4AC199D&E SER (90 hp)
Seats / Engines
2 seats · 1 engine
ADS-B equipped
Yes — Mode-S A4545F
Registrant of record
TAYLOR RONNIE R
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Historical record (pre-1982)
NTSB recorded this accident in the pre-1982 coded-field schema — structured fields rather than free-text narrative. Decoded codes use established NTSB single-letter taxonomies; cause factors remain verbatim pending the Form 6120.4 codebook lookup.
Aircraft
CULVER LFA · N37832
Damage
Substantial
Craft type
Airplane
Classification
Accident
Light condition
Dawn
Weather
VMC
Phase of flight
EE
Operator type
D
Airport
ANSONIA
Kind of flying
B0
Weather at impact
Sky
CLEAR
Wind
140° / 13 kt
Aircraft history
Serial number
000000000336
Total time
621 hrs
Pilot
Certificate
Commercial — instrument
Total hours
1,550
Age
40
Probable cause (from PRE1982.MDB)
.
Investigator remarks
WIND GUSTING 22K.ACFT T/D APRX 20FT SHORT OF RWY
Cause factors
- 64/C/48 C PILOT IN COMMAND MISJUDGED DISTANCE AND ALTITUDE Cause
- 64/B/25 B PILOT IN COMMAND IMPROPER LEVEL OFF
- 88/K/94 K MISCELLANEOUS ACTS,CONDITIONS OVERLOAD FAILURE Joint factor
Decoded against the NTSB Form 6120.4 cause-factor codebook (ct_Pre1982 table). Each row shows the raw triplet, modifier (Cause / Factor / etc.), category, and specific code.
Source: NTSB pre-1982 historical archive. Docket
3 3027.
Source file
NTSB_1970_3_3027.txt.
Modern CAROL record 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. Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- arXiv 2025 · arXiv preprint
USE-LFA: A Data-Driven Framework for UAM Site Evaluation using Latent Factor Analysis
Urban air mobility (UAM) introduces new challenges for infrastructure planning, requiring data driven approaches for sustainable site selection.
- Semantic Scholar 2022 · Article (ORL)
Olfactory Training Impacts Olfactory Dysfunction Induced by COVID-19: A Pilot Study
Introduction: Olfactory dysfunction is one of the main symptoms of COVID-19 and may last beyond resolution of the infection.
- arXiv 2019 · arXiv preprint
ALFA: A Dataset for UAV Fault and Anomaly Detection
We present a dataset of several fault types in control surfaces of a fixed-wing Unmanned Aerial Vehicle (UAV) for use in Fault Detection and Isolation (FDI) and Anomaly Detection (AD) research.
- NASA NTRS 2024 · Accepted Manuscript (Version with final changes)
Inverse Modeling of the Initial Stage of the 1991 Pinatubo Volcanic Cloud Accounting for Radiative Feedback of Volcanic Ash
The way volcanic clouds evolve is very sensitive to the initial spatial 3D distributions of volcanic materials, which are often unknown. In this study, we conducted inverse modeling of the Mt.
- arXiv 2024 · arXiv preprint
Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach
The rise of advanced air mobility (AAM) is expected to become a multibillion-dollar industry in the near future. Market-based mechanisms are touted to be an integral part of AAM operations, which comp…
- arXiv 2024 · arXiv preprint
Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach
Urban air mobility (UAM), a transformative concept for the transport of passengers and cargo, faces several integration challenges in complex urban environments.
Browse the full corpus — academia portal ↗