ERA23LA278
2023-06-25 · Sanford, North Carolina, United States · None · 1 aircraft · Status: Completed
Airport TTA
Current FAA registration · N108YZ
- Make / Model
- GOPALAN HARIHARAN 4 PLACE
- Year of manufacture
- 2019 · 4 years old at event
- Engine
- AMA/EXPR UNKNOWN ENG
- Seats / Engines
- 4 seats · 1 engine
- Last airworthiness date
- 20191211
- ADS-B equipped
- Yes — Mode-S A024AA
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain directional control while landing in a crosswind, which resulted in a nose over.
Factual narrative
The pilot/builder of the tailwheel-equipped airplane reported that he had flown a few times around the airport traffic pattern and was preparing for a full stop landing. After touchdown, the airplane began to veer to the left. He applied right rudder; however, he ran out of rudder authority due to the crosswind conditions that prevailed. He applied right brake to prevent a runway excursion; however, the airplane nosed over and came to rest inverted. The airplane’s fuselage, right wing, and vertical stabilizer were substantially damaged. The pilot reported that there were no preaccident mechanical malfunctions or failures with the airplane that would have precluded normal operation and that the accident would have been prevented if he had more crosswind handling training. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, 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-Pilot
- — Environmental issues-Conditions/weather/phenomena-Wind-Crosswind-Response/compensation
Verbatim from NTSB's published report. Source file
NTSB_2023_ERA23LA278.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 ↗
- Aviation Herald Aviation press ↗
- AVweb Aviation press ↗
- Pilots of America Community ↗
- Reddit /r/flying Community ↗
- FlightAware Aviation press ↗
- AOPA accident database Aviation press ↗
- Google News News ↗
- DuckDuckGo News ↗
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,…