NTSB CAROL · Event
Event CEN13LA541
Registry · N561AT
FAA Aircraft Registry record.
Make / Model
CESSNA 180
Year of manufacture
1956 · 57 years old at event
Engine
CONT MOTOR O-470 SERIES (230 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
19570529
ADS-B equipped
Yes — Mode-S A72AB3
Registrant of record
SHEETS JEFF M
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to maintain airplane directional control during the landing roll due to his diverted attention.
Factual narrative
On September 7, 2013, at 1330 mountain daylight time, a Cessna model 180 airplane, N561AT, was substantially damaged while landing at Gallup Municipal Airport (KGUP), Gallup, New Mexico. The commercial pilot and his passenger were not injured. The airplane was registered to and operated by the pilot, under the provisions of 14 Code of Federal Regulations Part 91, without a flight plan. Day visual meteorological conditions prevailed for the personal flight, which departed Portales Municipal Airport (KPRZ), Portales, New Mexico, about 1100. The pilot reported that the accident occurred as he was landing the tail wheel-equipped airplane on runway 06 (7,316 feet by 100 feet, asphalt). He stated that the landing roll was uneventful until he began retracting the wing flaps at a ground speed comparable to a "brisk walk." He reported that the airplane ground-looped after he inadvertently released left brake pressure while his attention was diverted with the mechanical flap handle. The left wing was substantially damaged when it impacted the runway during the ground-loop. The pilot reported that although the airport's weather radio broadcast indicated a calm wind condition, there was a slight right crosswind during the landing. The pilot stated that the crosswind condition did not contribute to his loss of directional control during landing roll, but rather his failure to follow his own standard practice of bringing the airplane to a complete stop before completing any post-landing checklist items (including retracting the wing flaps). The pilot reported no preaccident malfunctions or failures with the airplane that would have prevented normal operation. At 1253, the KGUP automated surface observing system reported: variable wind direction at 3 knots, visibility 10 miles, few clouds at 8,500 feet above ground level, temperature 28 degrees Celsius, dew point 6 degrees Celsius, and an altimeter setting of 30.25 inches of mercury. The airport elevation was 6,472 feet mean sea level. The calculated density altitude was 9,145 feet. The pilot stated that he was landing the tailwheel-equipped airplane and that the landing roll was uneventful until he began retracting the wing flaps at a ground speed comparable to a "brisk walk." He reported that the airplane ground-looped after he inadvertently released left brake pressure while his attention was diverted with the mechanical flap handle. The pilot reported that although the airport's weather radio broadcast indicated a calm wind condition, there was a slight right crosswind during the landing. The pilot stated that the crosswind condition did not contribute to his loss of directional control during landing roll. Rather, the loss of control was due to his failure to follow his standard practice of bringing the airplane to a complete stop before completing any post-landing checklist items (including retracting the wing flaps). The pilot reported no preaccident malfunctions or failures with the airplane that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
Verbatim from NTSB's published report. Source file
NTSB_2013_CEN13LA541.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 ↗