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Rafaï fire, 9 January 2026 Rafaï

Out · last detection 15 Jan 2026, 23:36 UTC

The fire started on 9 January 2026 in Rafaï, Central African Republic, and satellites saw it burning for 7 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 9,336 hectares from heat detections, spread across a single municipality.

It is the 41th largest in Mbomou since 2016 (of 80 with a page). Number 51 in Central African Republic in 2026, of 148.

Compare with…
Burnt area
9,336ha
GWIS perimeter (Copernicus)
Duration
7days
9 Jan 2026 – 15 Jan 2026
Municipalities hit
1
sub-prefectures
Started on
9 Jan
2026
Heat detections
222
in a single hotspot: 79 MW
Danger at start
49
Very high · FWI index
Average daily power
230MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 9 Jan15 Jan
15 Jan 2026

How it evolved, day by day

9 Jan 2026 · 19 MW · 14 10 Jan 2026 · 48 MW · 10 11 Jan 2026 · 113 MW · 21 12 Jan 2026 · 465 MW · 32 13 Jan 2026 · 418 MW · 54 14 Jan 2026 · 543 MW · 85 15 Jan 2026 · 5 MW · 6
9 Jan 10 Jan 11 Jan 12 Jan 13 Jan 14 Jan 15 Jan

Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.

The weather it burned in

36°high
40km/h · peak gust
14%lowest humidity

It had gone more than two months without rain (1 mm or more) when it started.

This area had burned before

100% of the perimeter overlaps earlier fires recorded since 2016: 5,342 ha in 2016, 289 ha in 2017, 6,633 ha in 2018, 5,282 ha in 2019, 7,061 ha in 2020, 9,524 ha in 2021, 2,920 ha in 2022, 1,772 ha in 2023, 6,971 ha in 2024, 5,456 ha in 2025. Part of it burned more than once, so the yearly figures add up to more than the 9,391 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 5.9% of the area of London (93 km² against 1,583 km²).

London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).

This compares size, not location: both shapes are at the same scale, north up, centred on each other.

What happened to each town

  1. Rafaï where it started
    9,410 ha reached on 9 Jan
    0.3 %

Burnt area inside each municipality, from crossing the GWIS perimeter with administrative boundaries. The distance runs from the point marking the centre of each area to the nearest fire: staying a kilometre away does not mean it reached the houses.

People and buildings inside the perimeter

GHSL 2025
Built-up area< 0.1 ha
Residents< 20

Inside the perimeter there was no noticeable built-up land and almost nobody lived there (GHSL 2025, satellite-based estimate).

This is an estimate on 100 m cells, made from satellite imagery and census data: it does not mean that homes burned or that anyone was harmed. The perimeter also contains land that never burned. The GHSL 2025 epoch is a projection made from 2020 and earlier data.

Source: Global Human Settlement Layer (GHS-BUILT-S and GHS-POP R2023A), European Commission Joint Research Centre (JRC), © European Union, CC BY 4.0. Sum inside the perimeter computed by WorldFires. human-settlement.emergency.copernicus.eu

The weather day by day

ECMWF ERA5 reanalysis at the fire location, the standard reference for past weather, and the Canadian Fire Weather Index (the same system Copernicus uses), computed by WorldFires from that data. Days after the fire run until the first rain.

Open-Meteo.com (CC BY 4.0) · Copernicus Climate Change Service (ERA5)

Day High Min. humidity Peak gust Rain Danger (FWI)
9 Jan 35.5 °C 16 % 35 km/h 0.0 mm Very high 49
10 Jan 33.8 °C 17 % 32 km/h 0.0 mm Very high 46
11 Jan 34.6 °C 16 % 33 km/h 0.0 mm Very high 48
12 Jan 34.4 °C 16 % 28 km/h 0.0 mm Very high 46
13 Jan 35.5 °C 14 % 38 km/h 0.0 mm Extreme 52
14 Jan 34.2 °C 15 % 40 km/h 0.0 mm Extreme 55
15 Jan 34.5 °C 15 % 40 km/h 0.0 mm Extreme 54
16 Jan after 34.3 °C 13 % 38 km/h 0.0 mm Extreme 52
17 Jan after 34.7 °C 13 % 30 km/h 0.0 mm Very high 49
18 Jan after 35.4 °C 12 % 33 km/h 0.0 mm Extreme 50
19 Jan after 35.7 °C 13 % 35 km/h 0.0 mm Extreme 52
20 Jan after 35.9 °C 15 % 34 km/h 0.0 mm Extreme 52
21 Jan after 36.6 °C 16 % 33 km/h 0.0 mm Extreme 52
22 Jan after 36.3 °C 18 % 23 km/h 0.0 mm Very high 50
23 Jan after 35.0 °C 24 % 29 km/h 0.0 mm Very high 48
24 Jan after 36.5 °C 17 % 31 km/h 0.0 mm Very high 45
25 Jan after 37.5 °C 12 % 37 km/h 0.0 mm Extreme 53

Before and after, from space

Drag the line to compare the same ground before the fire and after it.

Before · 2 Jan 2026
After · 22 Jan 2026

If the day is cloudy, change the date: each satellite passes once a day. In false colour the burnt ground looks brown or red.

The smoke

CAMS · Copernicus

On 11 January 2026 the air beside the fire reached 65 µg/m³ of PM2.5. That day averaged 50: 3.3 times the WHO daily guideline (15).

PM2.5 peak65 µg/m³
Days over the guideline12 days
PM1088 µg/m³
Optical depth0.85
789101112131415161718
Good Fair Moderate Poor Very poor Extremely poor

Particles from the Copernicus CAMS model at the centre of the perimeter; these are not measurements in each town. The pale bar is the worst hour, the solid one the daily average.

Open-Meteo.com (CC BY 4.0) · Copernicus Atmosphere Monitoring Service (CAMS)

Detections table · 222Every satellite heat detection, one by one, with time, satellite, power and coordinates.
⬇ Download CSV Times in UTC. Each detection is a 375 m pixel: a large fire yields hundreds per pass.
Date and timeSatelliteFRP (MW)LatLon

Other fires nearby

All fires in Central African Republic ›

Frequently asked questions

How long did the Rafaï fire last?
According to the heat detections seen by satellite inside the perimeter, it burned from 9 January 2026 to 15 January 2026 (7 days). The perimeter dates it from 11 January 2026 to 15 January 2026.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 9,336 hectares (93.4 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Rafaï (9,410 ha, 0.3 %).
What was the weather like?
During the fire the temperature reached 35.5 °C, humidity dropped to 14 % and gusts hit 40 km/h. The fire danger index (FWI) reached 55, class Extreme.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Central African Republic (geoBoundaries). It is not an official report.

Where to verify it

A satellite detection is not an official report. Final figures and the fire’s status are published by each country’s emergency service.

Satellite cross-check

History of this page Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.

No changes since 24 October 2026.

RSS Changes to this page

Does something look wrong on this page?

This page is built from satellite data and official records, and it sometimes gets things wrong: the wrong dates, the wrong town, two fires merged into one, or something that was not a wildfire at all. If you know this fire first-hand (you live nearby, saw it, fought it or reported on it), tell us what really happened and we will check it.

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How we know this
  • Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery.
  • Dates adjusted with the VIIRS detections inside the perimeter, which said 11 January 2026 to 15 January 2026. 222 Suomi-NPP VIIRS detections on those dates.
  • We have not matched this page with any official record.
  • Weather: Copernicus ERA5 reanalysis at the fire location, in cells of about 25 km.
  • Built-up area and population come from the JRC Global Human Settlement Layer (epoch 2025, 100 m cells), summed inside the perimeter: an estimate of what was there, not a damage count.

How we build fire pages: methodology ›

Where this data comes from

The perimeter comes from the Copernicus Global Wildfire Information System (GWIS), which rebuilds it from MODIS and VIIRS heat detections and publishes it under CC BY 4.0. It is not measured on imagery as in Europe, so it is an estimate. Heat detections come from the VIIRS sensors aboard Suomi-NPP and NOAA-20, distributed by NASA FIRMS at 375 m resolution. Municipal boundaries come from geoBoundaries ADM3 (Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)). The area per municipality is computed by WorldFires by crossing the perimeter with those boundaries, so it may differ from each country’s official figure.