Diversion — EJA774
KSNA · 02L2026-04-21 18:07 UTC· KVNY → KSNA· NETJETS SALES INC, LAL AIR INC, SHOEMAKER JOHN, CACHAJET LLC, ST· CL35
EJA774 (Netjets Sales) was operating from KVNY to KSTS (Charles M. Schulz Sonoma County Airport) on 2026-04-21. SkyMeter detected a diversion to John Wayne Airport-Orange County Airport (KSNA) on runway 02L at 18:07 UTC. Peak altitude 9,089 ft, turnaround area near Downey, US. METAR at the time reported 11 kt wind, 5 kt crosswind component, 16,093 m visibility. Detection algorithm and known limitations: see SkyMeter methodology.
Active FAA TFR during this flight
Source: FAA TFR archive (hourly snapshot)- SECURITY5/0601 2025-11-30 19:00Z – 2026-05-31 18:59Z SFC–400 ft
Los Angeles, CA, Sunday, November 30, 2025 through Sunday, May 31, 2026 Local
View FAA NOTAM →
SkyMeter cross-referenced this flight against FAA-published TFRs that were active during its window and within its geographic bounding box. Overlap doesn't necessarily mean violation — the aircraft may have been outside the TFR’s precise polygon or flying under air-traffic-control coordination.
Pilot review data
- Runway 02L
- 42 ft AGL at event
- 120 kt ground speed
- 0 fpm vertical
- 11 kt wind
- 5 kt crosswind component
- 16,093 m visibility
- KSNA 201253Z 15003KT 10SM BKN021 21/17 A2992 RMK AO2 SLP131 T02060167 $
Flight context
- EJA774
- Netjets Sales
- CL35
- KVNY → KSNA
- 2026-04-21 18:07 UTC
- KSNA runway 02L
All events on this flight
Automated analysis. Events shown on this page (such as go-around, unstable approach, or runway events) are heuristic classifications produced by algorithms from publicly broadcast ADS-B data. They are intended to surface flights of interest for further review — they are not findings of fact, and they do not determine pilot fault, regulatory compliance, or the cause of any occurrence. Coverage gaps and sensor noise can affect accuracy. Only the relevant civil aviation authority or accident investigation body can make official determinations. How we detect events · Dispute or correct this data