NTSB CAROL · Event
Event ERA25LA376
Registry · N283WT
FAA Aircraft Registry record.
Make / Model
CIRRUS DESIGN SR22
Year of manufacture
2013 · 12 years old at event
TCDS
A00009CH · CIRRUS DESIGN CORP
Engine
CONT MOTOR IO-550-N (310 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
20130503
ADS-B equipped
Yes — Mode-S A2DB26
Registrant of record
AIRSPEED AVIATION LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s improper landing flare and subsequent failure to recover from a hard bounced landing, which resulted in a loss of directional control and runway excursion.
Factual narrative
The pilot stated he was on a stabilized approach to land and that when he believed he had the appropriate sight picture, he reduced engine power and flared the airplane. The airplane then bounced and he attempted to recover the landing, but it bounced a second time and veered left of the runway centerline. The pilot aborted the landing and increased engine power, but the airplane veered further left. The pilot then reduced engine power and the airplane came to rest in bushes adjacent to the runway. The pilot-rated passenger reported that the pilot did not adequately “round out” the landing flare and the airplane bounced and yawed to the right. The pilot attempted to correct the yaw with excessive left and right aileron control inputs, and both of the airplane’s wing tips contacted the runway surface. The airplane then settled on the main landing gear and departed the runway to the left before it impacted an area of bushes resulting in substantial damage to the left wing. Neither the pilot nor the passenger reported any pre-accident mechanical malfunctions or failures with the airplane were reported that would have precluded normal operations. 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).
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Personnel issues-Action/decision-Action-Incorrect action performance-Pilot
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Landing flare-Not attained/maintained
Verbatim from NTSB's published report. Source file
NTSB_2025_ERA25LA376.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 ↗