NTSB CAROL · Event
Event MIA88FA191
Aircraft involved
Factual narrative
THE 25 YR OLD STUDENT PLT WAS PRACTICING TAKE-OFFS & LDGS ON RWY 11L IN PREPARATION FOR HIS PVT PLT FLT TEST. WHEN HE DEPARTED, ABOUT 1.9 HRS PRIOR TO THE ACCIDENT, THE WINDS WERE 090 DEGS AT 13 KNTS. AT THE TIME OF THE ACCIDENT THE WINDS HAD INCREASED TO 18 KNTS WITH TURBULENCE. THE STUDENT PLT HAD REQUIRED EXTRA INSTRUCTION IN THE AREA OF X-WIND LDGS PREVIOUSLY. HE STATED HE WAS USING RUDDER ONLY TO CORRECT FOR DRIFT & DID NOT USE AILERON AS HE WAS AFRAID HE WOULD DRAG A WING. THE ACFT WAS OBSERVED FLYING AN ERRATIC FINAL, LOSING DIRECTIONAL CONTROL DURING TOUCHDOWN & DEPARTING THE RUNWAY. THE AIRCRAFT THEN FLIPPED OVER TO AN INVERTED POSITION. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1988_MIA88FA191.txt.
Findings + structured fields enriched from FAA avall.mdb.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (icing, turbulence). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- Embry-Riddle Scholarly Commons 2023 · Faculty research project
Understanding the Coupled Interactions Between Hair-Like Micromechanoreceptors and Wall Turbulence
This research focuses on understanding the interactions between turbulent flows and long (high aspect ratio), flexible hair-like microstructures or micropillars inspired by those encountered in nature…
- arXiv 2026 · arXiv preprint
Direct Numerical Simulations of Ice-Ocean Boundary Turbulence
Turbulent heat and freshwater transport at ice-ocean interfaces controls glacier and iceberg melt rates, yet the underlying physics remains poorly constrained.
- NASA NTRS 2026 · Contractor Report (CR)
Icing Physics Studies Using the 3D SIDRM Test Article: 2023 Icing Tests Analysis
In-flight icing is an important safety issue and is a factor that affects aircraft design and performance. Newer regulations are driving a need for improvements in airframe and engine icing simulation…
- arXiv 2025 · arXiv preprint
Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN
The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urb…
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
Political Turbulence and Aviation Safety: A Cross-National Analysis of Political Stability's Effects on Aviation Accidents
To what extent does political stability affect aviation safety? This research aims to link domestic political conditions and public safety through the consideration of aviation accident frequency.
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Mathematical Model on the Temporal Dynamics of Aviation Competitive Pricing
This study investigates the competitive dynamics of airport pricing using U.S. airport data to validate the findings. It employs linear and nonlinear ordinary differential equation models to analyze t…
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