NTSB CAROL · Event
Event DEN73DTE46
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
CESSNA 180 · N2953C
Damage
Substantial
Craft type
Airplane
Classification
Accident
Light condition
Dawn
Weather
VMC
Phase of flight
Cruise — descent (EF)
Operator type
Personal/private
Airport
COLUMBINE ARPK
Kind of flying
A0
Weather at impact
Sky
SCATTERED-ABOVE 1000 FEET
Wind
260° / 5 kt
Aircraft history
Serial number
000000030853
Total time
2,817 hrs
Pilot
Certificate
Flight instructor (CFI)
Total hours
891
Age
38
Cause factors
- 64/C/79 C PILOT IN COMMAND FAILED TO MAINTAIN DIRECTIONAL CONTROL Cause
- 80/J/BC J AIRPORTS/AIRWAYS/FACILITIES SNOW ON RUNWAY Joint cause
- 80/J/BD J AIRPORTS/AIRWAYS/FACILITIES SNOW WINDROWS Joint cause
- 82/J/H J WEATHER UNFAVORABLE WIND CONDITIONS Joint cause
- 88/J/AQ J MISCELLANEOUS ACTS,CONDITIONS DOWNWIND Joint cause
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 0162.
Source file
NTSB_1973_3_0162.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 2026 · arXiv preprint
A Miniaturized Broadband 1-Bit Coding Reconfigurable Intelligent Surface for NLOS UE Localization and Uplink Communication
In this paper, a broadband 1-bit coding metasurface-based reconfigurable intelligent surface (RIS) is presented. The unit cell of the metasurface consists of a wide dipole modified with interdigital c…
- arXiv 2024 · arXiv preprint
Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs
Nano-sized unmanned aerial vehicles (UAVs) are ideal candidates for flying Internet-of-Things smart sensors to collect information in narrow spaces.
- arXiv 2024 · arXiv preprint
A flexured-gimbal 3-axis force-torque sensor reveals minimal cross-axis coupling in an insect-sized flapping-wing robot
The mechanical complexity of flapping wings, their unsteady aerodynamic flow, and challenge of making measurements at the scale of a sub-gram flapping-wing flying insect robot (FIR) make its behavior …
- Embry-Riddle Scholarly Commons 2024 · Conference paper
Integrated Propulsion and Control of Rotorcraft
RESEARCH OBJECTIVE OVERVIEW The Eagle Flight Research Center (EFRC) at Embry-Riddle Aeronautical University (ERAU) is investigating the handling qualities of failure modes of multi-rotors employing di…
- NASA NTRS 2023 · Presentation
Subsonic Single Aft Engine (SUSAN) Flight Deck Experiment: Throttle and Engine Display Concepts
NASA is developing a new hybrid-electric aircraft concept called the SUbsonic Single Aft eNgine (SUSAN) Electrofan. The SUSAN airplane is being designed as a 180-passenger commercial regional jet and …
- Embry-Riddle Scholarly Commons 2023 · Conference paper
The Value of Strong Partnerships to Build a Successful Aviation Maintenance Career Pathway Program for Transitioning Military Service Members
The aerospace industry is competing with other industries for a qualified workforce, and many of those competing industries are investing heavily in creating workforce development pipelines.
Browse the full corpus — academia portal ↗