NTSB CAROL · Event
Event ANC04LA113
Registry · N6522T
FAA Aircraft Registry record.
Make / Model
CAMERON BALLOONS US A-120
Seats / Engines
5 seats · 1 engine
ADS-B equipped
Yes — Mode-S A896D8
Registrant of record
BALLOONS ABOVE THE VALLEY
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's inadequate compensation for wind conditions, and his intentional flight into adverse weather conditions, which resulted in a loss of control and collision with terrain during takeoff-initial climb. Factors contributing to the accident were high and gusty wind conditions, and the pilot's inadequate preflight planning.
Factual narrative
On September 23, 2004, about 1100 Alaska daylight time, a Britten-Norman BN-2A airplane, N6522T, sustained substantial damage when it collided with terrain during takeoff initial climb from a remote beach area near Hallo Bay, Alaska, about 65 miles northwest of Kodiak, Alaska. The airplane was being operated as a visual flight rules (VFR) cross-country air taxi flight under Title 14, CFR Part 135, when the accident occurred. The airplane was operated by Homer Air Inc., Homer, Alaska. The commercial certificated pilot and one passenger received minor injuries; two passengers received serious injuries, and the remaining three passengers were not injured. Visual meteorological conditions prevailed, and a VFR flight plan was filed to Homer. The flight originated from a beach area located along the Alaska Peninsula, about 100 miles southwest of Homer. During a telephone conversation with the National Transportation Safety Board (NTSB) investigator-in-charge (IIC), on September 23, the director of operations for the operator reported that the twin-engine airplane was departing Hallo Bay, Alaska, where a remote wilderness lodge is located. The takeoff area on the beach is oriented north/south. The director of operations said that the pilot began the takeoff with gusty wind conditions blowing about 20 knots from the west. He said that the airplane encountered windshear and descended to the beach, and came to rest partially in the ocean tidal area. The right wing was torn off the airplane, and the fuselage was torn open. The director of operations indicated that Hallo Bay Wilderness Lodge personnel provide weather reports via satellite phone for the landing/takeoff area. In the Pilot/Operator Accident Report, (NTSB Form 6120.1) submitted by the pilot, the pilot reported that when he departed Homer about 0930, the wind as reported by lodge personnel was from the west about 20 knots. When he arrived at the lodge about 1040, the wind was from the west about 30 knots, with gusts to 50 knots. As he was departing from the beach, the pilot indicated that about 20 feet agl, a strong gust of wind, or a downdraft, hit the airplane. The airplane descended and the left wing collided with the beach, which spun the airplane 180 degrees. The pilot said the airplane came to rest in about 2 1/2 feet of water. Search and rescue personnel from the U.S. Coast Guard Air Station, Kodiak, responded to the accident site, and transported all of the occupants to the hospital in Kodiak. The commercial certificated pilot, with six passengers, was departing from a remote beach in a twin-engine airplane on an on-demand air taxi flight. The beach was oriented north/south, and was utilized by airplanes transporting guests to and from a remote wilderness lodge. Weather conditions at the beach were reported to air taxi operators via satellite phone. The pilot reported that as he was departing toward the north, the wind was from the west about 30 knots, with gusts to 50 knots. About 20 feet agl, a strong gust of wind, or a downdraft, hit the airplane. The airplane descended and the left wing collided with the beach, which spun the airplane 180 degrees. The airplane came to rest in about 2 1/2 feet of water. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2004_ANC04LA113.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Academic papers and agency reports matching this event's aircraft type or causal vocabulary (loss of control). 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 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation)
ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
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