GAA16CA223
2016-05-06 · Jasper, Texas, United States · None · 1 aircraft · Status: Completed
Airport JAS
Current FAA registration · N917CF
- Make / Model
- CESSNA T206H
- Year of manufacture
- 2005 · 11 years old at event
- Engine
- LYCOMING TI0-540 SER (310 hp)
- Seats / Engines
- 6 seats · 1 engine
- Last airworthiness date
- 20050506
- ADS-B equipped
- Yes — Mode-S ACB0E4
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to maintain pitch control during the landing flare, which resulted in abnormal runway contact, a nose wheel landing gear collapse, and runway excursion.
Factual narrative
The pilot reported that during the landing flare she inadvertently allowed the nose of the airplane to drop and the nose wheel touched down first. Subsequently, the nose wheel collapsed and the airplane veered off the runway to left, stopping about 75 feet into the grass parallel the runway. During the runway excursion, the propeller dug into the terrain and the left wing impacted the ground. The left wing was substantially damaged. The pilot did not report any mechanical malfunctions or failures with the airplane that would have precluded normal operation. The pilot reported that during the landing flare she inadvertently allowed the nose of the airplane to drop and the nose wheel touched down first. Subsequently, the nose wheel collapsed and the airplane veered off the runway to left, stopping about 75 feet into the grass parallel the runway. During the runway excursion, the propeller dug into the terrain and the left wing impacted the ground. The left wing was substantially damaged. The pilot did not report any mechanical malfunctions or failures 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-Pitch 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_2016_GAA16CA223.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 ↗
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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,…