NTSB CAROL · Event
Event ERA11CA178
Registry · N435SA
FAA Aircraft Registry record.
Make / Model
BOMBARDIER INC CL-600-2B19
Year of manufacture
2001 · 10 years old at event
Engine
GE CF34 SERIES
Seats / Engines
55 seats · 2 engines
Last airworthiness date
20011022
ADS-B equipped
Yes — Mode-S A53742
Registrant of record
RI CL600 LLC
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to compensate for crosswind conditions and loss of directional control during landing, resulting in a runway excursion and nose over.
Factual narrative
The pilot landed with a left crosswind and the airplane started veering to the right. The pilot removed the crosswind correction while applying the brakes with the brake handle which was located on the control stick. The airplane continued off the right side of the runway. The nose landing gear dug into the grass, and the airplane nosed over inverted into a ditch. Both wings and the tail section sustained structural damage. The pilot reported no mechanical problems with the airplane before the accident. The pilot landed with a left crosswind and the airplane started veering to the right. The pilot removed the crosswind correction while applying the brakes with the brake handle which was located on the control stick. The airplane continued off the right side of the runway. The nose landing gear dug into the grass and the airplane nosed over inverted into a ditch. Both wings and the tail section sustained structural damage. The pilot reported no preimpact mechanical problems with the airplane. 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
- — Environmental issues-Conditions/weather/phenomena-Wind-Crosswind-Response/compensation
Verbatim from NTSB's published report. Source file
NTSB_2011_ERA11CA178.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 ↗