December 4 – December 8, 2025

Abu Dhabi Grand Prix 2025 — Private Jet Emissions Tracker

Formula 1 Season Finale · Yas Marina Circuit, Abu Dhabi

Total CO₂

3,113 t

metric tonnes

Flights Tracked

166

private jet movements

Distinct Aircraft

125

unique tail numbers

Last updated December 7th 2025

Carbon Sky Index tracked 166 private jet movements across Abu Dhabi and Dubai during Abu Dhabi Grand Prix 2025 2025. A total of 166 private jet movements were recorded, emitting an estimated 3,113.3 metric tonnes of CO₂. Emissions estimates are calculated using the EUROCONTROL EMEP/EEA Guidebook 2023 LTO and cruise phase methodology.

Private jet activity at Abu Dhabi and Dubai averaged 240.6 t CO₂ per day in the 30 days before the event. During the Abu Dhabi Grand Prix 2025 window, daily emissions peaked at 1,237.6 t CO₂ on December 8 — 414% above baseline.

Daily Flight Activity

vs. 30-day rolling baseline

+414% above baseline
Daily CO₂ (t)Peak day30-day baseline averagePeak: Dec 8 (1,238 t CO₂)Source: Carbon Sky Index

Peak above 30-day baseline

+414%

Excess emissions on peak day

997 t

Peak inbound date · 80 total

December 8

Of the 169 total movements recorded, 80 were inbound arrivals and 89 were outbound departures. Inbound flights generated 1,822.8 t CO₂ and outbound flights generated 1,296.2 t CO₂.

Inbound / Outbound Split

Inbound arrivals

80

flights

1,823 t CO₂

Outbound departures

89

flights

1,296 t CO₂

First & Last

First arrival

N412RGulfstream G600

London (EGSS)

Thu, Dec 4, 2025

Last departure

D-ARCGBombardier Global 6000/6500

Tianjin (ZBTJ)

Sun, Dec 7, 2025

The table below lists all 166 private jet movements tracked at Abu Dhabi and Dubai during Abu Dhabi Grand Prix 2025 2025. 98 aircraft were making their first recorded visit to the event airports in the prior four months.

All Flights

166 total

Aircraft arrived from 10 distinct origin airports during the event window. The highest-volume origin was Dubai (OMDW), which accounted for 10 arrivals and approximately 12.4 metric tonnes of CO₂.

Top Origin Cities

RankOrigin city
1DubaiOMDW1012 t1.2 t
2FarnboroughEGLF6156 t25.9 t
3LondonEGGW384 t28.1 t
4Tel AvivLLBG327 t9.1 t
5LondonEGSS388 t29.3 t
6RomeLIRA353 t17.6 t
7LimerickEICN3101 t33.7 t
8PragueLKPR249 t24.4 t
9ZurichLSZH238 t19.2 t
10WashingtonKIAD2107 t53.3 t

4 arrivals (43.4 t CO₂) with no recorded origin and 3 local movements (5.7 t CO₂) within the event airport cluster are excluded from this ranking.

Fleet Breakdown

Top emitterBombardier Global 7500781 t CO₂
Large
3,062 t98%
Medium
50 t2%
Light
1 t0%

Frequently Asked Questions

How many private jets flew to Abu Dhabi Grand Prix 2025 2025?

Carbon Sky Index tracked 166 private jet movements across Abu Dhabi and Dubai during the Abu Dhabi Grand Prix 2025 2025 window (December 4, 2025 to December 8, 2025). These 125 distinct aircraft emitted an estimated 3,113 metric tonnes of CO₂.

How much CO₂ did private jets emit at Abu Dhabi Grand Prix 2025 2025?

Private jets flying to and from Abu Dhabi Grand Prix 2025 2025 emitted an estimated 3,113 metric tonnes of CO₂ in total. Carbon Sky Index calculates emissions using the EUROCONTROL EMEP/EEA Guidebook 2023 methodology, covering both LTO (landing and takeoff) and cruise phase emissions.

Which airport had the most private jet traffic during Abu Dhabi Grand Prix 2025 2025?

Carbon Sky Index monitored traffic across Abu Dhabi and Dubai. The highest volume of arriving aircraft came from Dubai, with 10 inbound flights recorded.

How does Carbon Sky Index track private jet emissions?

Carbon Sky Index uses ADS-B transponder data to identify private jet movements at monitored airports. CO₂ estimates are calculated per flight using the EUROCONTROL EMEP/EEA Guidebook 2023 methodology, which accounts for aircraft type, route distance, and both LTO and cruise phase fuel burn. Data is updated daily.

Flight data is sourced from ADS-B transponder signals aggregated from a global receiver network and updated daily. CO₂ estimates are calculated using aircraft-type hourly burn rates from the Carbon Sky Index emissions model. Read methodology →