NTSB CAROL · Event
Event ERA24LA145
Registry · N838ER
FAA Aircraft Registry record.
Make / Model
CESSNA 172S
Year of manufacture
2023 · 1 years old at event
Engine
LYCOMING IO-360-L2A (180 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
20230424
ADS-B equipped
Yes — Mode-S AB7686
Registrant of record
EMBRY-RIDDLE AERONAUTICAL UNIVERSITY INC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The student pilot’s failure to maintain directional control while landing in a crosswind.
Factual narrative
The student pilot was on the first leg of his initial solo cross-country flight. He was initially cleared for an approach to runway 9R at the destination airport, with a surface wind reported from 110° at 13 knots. After reporting a 7-mile final for runway 9R, tower controller directed him to land on runway 5. During landing, as the nose wheel touched down, the airplane “weathervaned” to the right. He abruptly added left rudder, which resulted in the airplane’s wheels “side drift[ing]” to the right and he lost control of the airplane. The airplane departed the runway to the right, eventually coming to rest in a grassy area adjacent to the runway. The right wing and upper fuselage were substantially damaged during the runway excursion. The pilot reported that there were no preaccident mechanical malfunctions or failures of the airplane that would have precluded normal operation. Following the accident, the flight school that operated the airplane reminded its students that when they are switched from a runway with a headwind to one with a crosswind, it is acceptable to decline an air traffic control request if students are uncomfortable with it. 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).
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Student/instructed pilot
- — Environmental issues-Conditions/weather/phenomena-Wind-Crosswind-Effect on operation
Verbatim from NTSB's published report. Source file
NTSB_2024_ERA24LA145.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 (runway excursion). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- 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,…
Browse the full corpus — academia portal ↗