GAA19CA114
2019-01-27 · Anchorage, Alaska, United States · None · 1 aircraft · Status: Completed
Airport MRI
Aircraft involved
Probable cause & findings
The student pilot's overcorrection with rudder during the landing and her subsequent failure to maintain directional control, which resulted in a runway excursion, impact with a snowbank, and a nose-over.
Factual narrative
The student pilot reported that, on her first solo flight, during the second touch and go, shortly after touchdown, the airplane "started sliding" to the right. She over corrected with "excessive" left rudder, the airplane exited the left side of the runway, impacted a snowbank, and nosed over. The airplane sustained substantial damage to the empennage. The student pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. The student pilot reported that, on her first solo flight and during a second touch-and-go landing, shortly after touchdown, the airplane "started sliding" right. She added that she overcorrected with "excessive" left rudder. Subsequently, the airplane exited the left side of the runway, impacted a snowbank, and nosed over. The airplane sustained substantial damage to the empennage. The student reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, 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-Student/instructed pilot - C
- C Personnel issues-Task performance-Use of equip/info-Use of equip/system-Student/instructed pilot - C
- C Aircraft-Aircraft systems-Flight control system-Rudder control system-Incorrect use/operation - C
- — Environmental issues-Physical environment-Object/animal/substance-Snow/ice-Contributed to outcome
Verbatim from NTSB's published report. Source file
NTSB_2019_GAA19CA114.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
- TallyAero Live Wire Aviation press
- NTSB CAROL Agency ↗
- NTSB Docket Agency ↗
- Aviation Safety Network Aviation press ↗
- Kathryn's Report Aviation press ↗
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- Pilots of America Community ↗
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Related research
Matched on aircraft type or causal vocabulary (runway excursion). All research papers
- SKYbrary (Eurocontrol) 2024 · SKYbrary article Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- NASA NTRS 2025 · Presentation Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Flight Safety Foundation 2024 · FSF / AeroSafety World Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…