SEA00LA055
2000-03-22 · ROUNDUP, Montana, United States · None · 1 aircraft · Status: Completed
Airport RPX
N75CD has since been reassigned. It is now registered to a different aircraft (ZENITH CH750), which was not involved in this event.
Aircraft involved
Probable cause & findings
The pilot's failure to adequately compensate for wind conditions and subsequent loss of control.
Factual narrative
On March 22, 2000, about 1650 mountain standard time, a Cessna 180K, N75CD, registered to the pilot as a 14CFR91 personal/pleasure flight, was substantially damaged during the landing roll at Roundup Municipal Airport, Roundup, Montana. Visual meteorological conditions prevailed, and no flight plan was filed for the local flight. The private pilot, the sole occupant, was uninjured. The flight originated from Roundup approximately 20 minutes prior to the accident. There was no fire and no report of an ELT actuating. The pilot stated he was landing on runway 24 with a crosswind from the southeast. After the aircraft touched down, in a wing-low attitude, it began to track to the left of the runway centerline. The pilot was unable to correct the situation and subsequently ground-looped the aircraft. The aircraft came to rest south of runway 24, and sustained substantial damage to the fuselage, landing gear, right wing and propeller. The pilot reported no mechanical malfunctions or failures with the aircraft at the time of the accident. The private pilot was landing the tailwheel-equipped airplane on a dry, paved runway. During the landing roll-out, the aircraft began to weathervane and drift left of centerline. The pilot stated he tried to compensate using brake and rudder, but the aircraft continued off the runway and ground-looped. Winds at the time of the accident, as reported by the pilot, were from south at 10-20 knots. No malfunctions or failures were reported with the aircraft's directional control system. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2000_SEA00LA055.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
Matched on aircraft type or causal vocabulary (loss of control). All research papers
- 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.
- Semantic Scholar 2024 · Article (International Conference on Networking and Services) Risk Assessment of Loss of Control In-Flight Trajectories for Urban Air Mobility Safety
In Urban Air Mobility (UAM), maintaining a minimum separation between aircraft is a safety requirement, which becomes challenging amidst congested air traffic and off-nominal conditions, such as Loss …
- 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.