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Retrospective Analysis 12 FIRs affected

FlySafe was not operational during this event. This analysis reconstructs what publicly available signals looked like before the closures — to demonstrate the data our system now monitors.

Gulf Airspace Closures
February 28, 2026

The largest simultaneous airspace closure in Middle East aviation history. Twelve Flight Information Regions affected across nine countries. Up to 144 hours of full closure for some airspaces.

12
FIRs affected
9
Countries
144h
Max closure duration
24h+
Public signals before NOTAMs
1

Event

On February 28, 2026, a regional military escalation resulted in the simultaneous closure or restriction of 12 Flight Information Regions across the Middle East and Persian Gulf. This was the largest coordinated airspace disruption in the region's history.

Affected airspace — February 28, 2026
Affected airspace — February 28, 2026
FIR Country Type Duration
OIIXIran (Tehran)Full closureOngoing
OISSIran (Isfahan)Full closureOngoing
ORBBIraqFull closureOngoing
LLLLIsraelFull closureOngoing
OSTTSyriaFull closureOngoing
OKACKuwaitFull closureOngoing
OTBDQatarFull closure144h
OBBBBahrainFull closure144h
OMAEUAEFull closure48h
OJACJordanFull closure120h
OLBBLebanonRestrictedOngoing
OEDFSaudi Arabia (Riyadh)RestrictedOngoing
OEJDSaudi Arabia (Jeddah)RestrictedOngoing
OOMMOmanRestrictedOngoing

Source: NOTAM publications, EASA CZIB-143294. "Ongoing" indicates closure continued beyond the analysis period.

2

Early Signals

A retrospective review of publicly available data shows that multiple signal categories indicated escalation in the days preceding the closures:

EASA Conflict Zone Bulletin
CRITICAL

CZIB-143294 issued February 27 — one day before closures. Covered all 12 FIRs. Elevated to Level 2 (highest).

Conflict Event Databases
CRITICAL

Armed conflict databases recorded significant escalation over 7–14 days, with elevated fatality counts and cross-border event patterns.

News Sentiment Shift
HIGH

Sharp shift in media tone across Middle East aviation and conflict keywords 48–72 hours before the event.

Satellite Thermal Anomalies
HIGH

NASA FIRMS detected elevated night-time thermal signatures consistent with military activity patterns.

Travel Advisory Changes
MEDIUM

US State Department and UK FCDO elevated advisory levels for multiple countries in preceding weeks.

ADS-B Traffic Anomalies
MEDIUM

OpenSky Network data showed airlines rerouting away from Iranian and Iraqi airspace 24 hours before official NOTAMs.

3

Timeline

RISK LEVEL
Feb 14–20

Travel advisories elevated for Iran, Iraq, and Lebanon. Conflict databases show rising event counts in the region.

Feb 21–25

News sentiment shifts significantly. Media monitoring detects escalation keywords across multiple feeds. Satellite thermal anomalies increase.

Feb 26–27

Airlines begin rerouting (visible in ADS-B data). EASA publishes CZIB-143294 on Feb 27, covering 12 FIRs at Level 2.

Feb 28, 00:00 UTC

First closure NOTAMs published. Within hours, 9 FIRs fully closed, 5 more restricted. All commercial traffic rerouted or grounded.

Mar 1–4

UAE reopens after 48h. Jordan after 120h. Qatar and Bahrain partially reopen after 144h. Several FIRs remain closed.

4

What Airlines Actually Did

ADS-B data reveals that some operators began adjusting operations before official NOTAMs — while others did not. The difference in outcomes was significant.

Acted on early signals
  • Rerouted flights 12–24h before NOTAMs
  • Pre-positioned crews and aircraft outside affected FIRs
  • Proactively rebooked passengers via alternative hubs
  • Minimal cancellations, controlled cost increase
Estimated additional cost per flight
$15–40K
Longer routing, planned
Waited for NOTAMs
  • Flights already airborne when closures hit
  • Emergency diversions to airports at capacity
  • Passengers stranded 3–5 days at Gulf hubs
  • Mass cancellations, EU261/MC99 compensation triggered
Estimated cost per affected flight
$80–200K
Diversion + compensation + rebooking

Cost estimates based on industry averages for long-haul diversions. Actual figures vary by airline, route, and aircraft type.

5

Aviation Impact

4 hubs
Simultaneous shutdown

Dubai (DXB), Doha (DOH), Abu Dhabi (AUH), and Bahrain (BAH) — four of the world's largest international hubs — simultaneously offline.

+2–5h
Per rerouted flight

All Europe–Asia and Europe–Gulf routes disrupted. Airlines forced to southern (Africa–Indian Ocean) or northern (Central Asia) corridors.

$100M+
Estimated industry losses

Each diverted long-haul flight costs $80–200K in fuel, crew, and compensation. Thousands of flights affected over 6 days.

3–5 days
Passenger rebooking delays

Hundreds of thousands stranded at Gulf hubs. Airlines with no advance warning had the worst delays.

!

Takeaway

Publicly available data — conflict event databases, news sentiment, EASA bulletins, satellite imagery, and ADS-B traffic patterns — showed measurable escalation signals days before the first NOTAM was published.

Airlines that acted on early indicators minimized disruption. Those that waited for official NOTAMs faced the full impact: canceled flights, stranded passengers, and hundreds of millions in losses.

Had a system like FlySafe been operational, these signals may have been aggregated automatically — scoring risk per FIR across 72-hour, 7-day, and 30-day horizons. The goal: give operators actionable warning before disruption becomes unavoidable.

i

Sources

  • EASA — Conflict Zone Information Bulletin CZIB-143294, February 27, 2026
  • ICAO — NOTAM publications for OIIX, OISS, ORBB, LLLL, OSTT, OKAC, OTBD, OBBB, OMAE, OJAC, OLBB, OEDF, OEJD, OOMM FIRs
  • NASA FIRMS — Fire Information for Resource Management System, thermal anomaly data
  • OpenSky Network — ADS-B flight tracking data, aircraft trajectory analysis
  • ACLED — Armed Conflict Location & Event Data, Middle East region
  • US State Department — Travel advisories for Iran, Iraq, Lebanon, Syria
  • UK FCDO — Foreign travel advice updates, February 2026

All data sourced from publicly available records and open data platforms.

This is a retrospective analysis of publicly documented events. FlySafe's prediction system was not operational during this event. Signal categories described are based on data sources that were available at the time and are now part of FlySafe's monitoring pipeline. All information is sourced from public records, EASA publications, and open data.

This case study is based on publicly available information and official investigation reports. It does not constitute an operational assessment or safety recommendation. Always consult official sources (ICAO, EASA, FAA) for current airspace conditions.