CHI07CA100
2007-04-11 · Charlotte, Michigan, United States · None · 1 aircraft · Status: Completed
Airport FPK
N77RE has since been reassigned. It is now registered to a different aircraft (CESSNA B200GT, built 2016), which was not involved in this event.
Aircraft involved
Probable cause & findings
The pilot's inadequate compensation for the wind conditions, inadequate landing flare, failure to maintain directional control, and encounter with a pilot-induced oscillation (porpoise. A contributing factor was the wind gust.
Factual narrative
The airplane was substantially damaged during a hard landing and subsequent runway excursion. The pilot reported that winds at the intended destination were from 100 degrees, gusting to 15 knots. He setup for landing on runway 2 (3500 feet by 75 feet, concrete). He noted that the approach was "normal." The pilot stated: "At approximately 1 foot above the runway I experienced a strong gust which caused the aircraft to hit hard onto the runway. At that time the aircraft began to porpoise. I then added power. Apparently the nose wheel sustained damage which caused the aircraft to veer off to the left of the runway." The nose and left main landing gear subsequently collapsed. The pilot noted that there were no malfunctions associated with the aircraft prior to the accident. The airplane was substantially damaged during a hard landing and subsequent runway excursion. The pilot reported that winds at the intended destination were from 100 degrees, gusting to 15 knots. He setup for landing on runway 2 and noted that the approach was "normal." The pilot stated: "At approximately 1 foot above the runway I experienced a strong gust which caused the aircraft to hit hard onto the runway. At that time the aircraft began to porpoise. I then added power. Apparently the nose wheel sustained damage which caused the aircraft to veer off to the left of the runway." The nose and left main landing gear subsequently collapsed. The pilot noted that there were no malfunctions associated with the aircraft prior to the accident. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2007_CHI07CA100.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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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,…