DFW07CA112
2007-05-10 · Austin, Texas, United States · None · 1 aircraft · Status: Completed
Airport 3R9
Aircraft involved
Probable cause & findings
The loss of engine power as result of carburetor icing. Contributing factors were the lack of suitable terrain for the forced landing and the weather conditions conducive to carburetor icing.
Factual narrative
The pilot experience a complete loss of engine power while the airplane was established on the base leg of the traffic pattern at his destination airport. The 337-nautical mile flight originated in another state about 3 hours earlier. The 300-hour private pilot elected to execute a forced landing to a golf course; however, shortly before touchdown, the tailwheel-equipped airplane collided with mature trees and subsequently impacted the ground. The airplane came to rest in the upright position and the pilot and both passengers were able to exit the airplane unassisted. An examination of the airplane's engine by a Federal Aviation Administration (FAA) inspector did not revealed any pre-impact anomalies or discrepancies. Additionally, aviation fuel was present at the accident site. The pilot, who reported having accumulated a total of 250-hours in the same make and model, stated that he did not utilize the carburetor heat during his descent or while in the traffic pattern. A carburetor icing probability chart obtained from a DOT/FAA/CT-82/44 publication predicts the possibility of serious carburetor icing at glide power under the weather conditions that prevailed at the time of the accident (temperature 80 degrees Fahrenheit, dew point of 55 degrees Fahrenheit). The pilot experience a complete loss of engine power while the airplane was established on the base leg of the traffic pattern at his destination airport. The 337-nautical mile flight originated in another state about 3 hours earlier. The 300-hour private pilot elected to execute a forced landing to a golf course; however, shortly before touchdown, the tailwheel-equipped airplane collided with mature trees and subsequently impacted the ground. The airplane came to rest in the upright position and the pilot and both passengers were able to exit the airplane unassisted. An examination of the airplane's engine by a Federal Aviation Administration (FAA) inspector did not revealed any pre-impact anomalies or discrepancies. Additionally, aviation fuel was present at the accident site. The pilot, who reported having accumulated a total of 250-hours in the same make and model, stated that he did not utilize the carburetor heat during his descent or while in the traffic pattern. A carburetor icing probability chart obtained from a DOT/FAA/CT-82/44 publication predicts the possibility of serious carburetor icing at glide power under the weather conditions that prevailed at the time of the accident (temperature 80 degrees Fahrenheit, dew point of 55 degrees Fahrenheit). Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2007_DFW07CA112.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
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Related research
Matched on aircraft type or causal vocabulary (icing). All research papers
- AOPA Air Safety Institute 2020 · Safety advisor Safety Advisor: Aircraft Icing
Safety advisor on in-flight airframe icing in piston GA aircraft. Covers icing physics, identification of structural vs induction vs carb ice, escape strategies (climb / descend / 180), use of weather…
- arXiv 2026 · arXiv preprint Enabling Beyond-Visual-Line-of-Sight Drones Operation over Open RAN 5G Networks with Slicing
Among the foretold claims of the transition from 5G to 6G, Beyond-Visual-Line-of-Sight (BVLoS) drone operation has emerged as a prominent Internet-of-Robots enabler.
- 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…
- NASA NTRS 2025 · Presentation NASA Icing Update – March 2025
This NASA Icing Update was prepared for presentation to the SAE International AC-9C Inflight Icing Technology Committee. This update includes the following topics: planned Rotational Icing Scaling tes…
- 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…