WPR21LA187
2021-05-09 · Sacramento, California, United States · None · 1 aircraft · Status: Completed
Airport MHR
Current FAA registration · N104GX
- Make / Model
- REMOS ACFT GMBH FLUGZEUGBAU REMOS GX
- Year of manufacture
- 2008 · 13 years old at event
- Engine
- ROTAX 912ULS SERIES (100 hp)
- Seats / Engines
- 2 seats · 1 engine
- Last airworthiness date
- 20081208
- ADS-B equipped
- Yes — Mode-S A0143C
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain directional control during landing in gusty wind conditions which resulted in a runway excursion and collision with terrain.
Factual narrative
The student pilot reported that, he configured the airplane for landing on runway 22R and touched down on the runway centerline. Upon landing, the airplane encountered a wind gust and became airborne. The airplane drifted off the runway area and the wings oscillated with the tips making contact with the surface. As a result of the impact, the airplane sustained substantial damage to the upper fuselage skin located between the wing roots. The pilot reported that there were no preaccident mechanical malfunctions or failures with the airplane that would have precluded normal operation. An aviation routine weather report (METAR) for the airport about 25 minutes after the accident reported winds from 310o at 10 knots with gusts to 17 knots. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained
- — Environmental issues-Conditions/weather/phenomena-Wind-Gusts-Effect on operation
Verbatim from NTSB's published report. Source file
NTSB_2021_WPR21LA187.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,…