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Rafaï fire, 12 December 2022 Rafaï, Yalinga

Out · last detection 18 Dec 2022, 12:09 UTC

The fire started on 12 December 2022 in Rafaï, Central African Republic, and satellites saw it burning for 8 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 12,591 hectares from heat detections, spread across 2 municipalities.

It is the 26th largest in Mbomou since 2016 (of 80 with a page). Number 28 in Central African Republic in 2022, of 97.

Compare with…
Burnt area
12,591ha
GWIS perimeter (Copernicus)
Duration
8days
12 Dec 2022 – 19 Dec 2022
Municipalities hit
2
sub-prefectures
Started on
12 Dec
2022
Heat detections
435
in a single hotspot: 113 MW
Danger at start
46
Very high · FWI index
Average daily power
512MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 12 Dec19 Dec
18 Dec 2022

How it evolved, day by day

12 Dec 2022 · 390 MW · 79 13 Dec 2022 · 596 MW · 39 14 Dec 2022 · 959 MW · 50 15 Dec 2022 · 868 MW · 106 16 Dec 2022 · 499 MW · 126 17 Dec 2022 · 185 MW · 23 18 Dec 2022 · 91 MW · 12
12 Dec 13 Dec 14 Dec 15 Dec 16 Dec 17 Dec 18 Dec

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
35km/h · peak gust
13%lowest humidity

It had gone 30 days without rain (1 mm or more) when it started.

This area had burned before

96% of the perimeter overlaps earlier fires recorded since 2016: 6,392 ha in 2016, 7,206 ha in 2017, 14,619 ha in 2020. Part of it burned more than once, so the yearly figures add up to more than the 12,145 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 8% of the area of London (126 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
    11,993 ha reached on 12 Dec
    0.4 %
  2. 696 ha reached on 16 Dec
    0.0 %

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 2020
Built-up area< 0.1 ha
Residents< 20

Inside the perimeter there was no noticeable built-up land and almost nobody lived there (GHSL 2020, 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.

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)
12 Dec 35.3 °C 13 % 35 km/h 0.0 mm Very high 46
13 Dec 32.4 °C 29 % 28 km/h 0.0 mm High 37
14 Dec 33.0 °C 27 % 19 km/h 0.0 mm High 33
15 Dec 33.8 °C 22 % 22 km/h 0.0 mm High 37
16 Dec 35.0 °C 14 % 32 km/h 0.0 mm Very high 44
17 Dec 35.6 °C 15 % 33 km/h 0.0 mm Very high 44
18 Dec 35.3 °C 17 % 34 km/h 0.0 mm Very high 45
19 Dec 35.1 °C 17 % 27 km/h 0.0 mm Very high 42
20 Dec after 35.0 °C 18 % 26 km/h 0.0 mm Very high 41
21 Dec after 34.6 °C 18 % 18 km/h 0.0 mm Very high 40
22 Dec after 34.5 °C 19 % 25 km/h 0.0 mm Very high 42
23 Dec after 34.3 °C 18 % 25 km/h 0.0 mm Very high 43
24 Dec after 33.4 °C 19 % 31 km/h 0.0 mm Very high 46
25 Dec after 34.1 °C 16 % 34 km/h 0.0 mm Very high 50
26 Dec after 33.7 °C 13 % 40 km/h 0.0 mm Extreme 52
27 Dec after 32.8 °C 13 % 42 km/h 0.0 mm Extreme 54
28 Dec after 33.2 °C 14 % 38 km/h 0.0 mm Extreme 51
29 Dec after 34.1 °C 15 % 38 km/h 0.0 mm Extreme 52

Before and after, from space

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

Before · 5 Dec 2022
After · 26 Dec 2022

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 16 December 2022 the air beside the fire reached 117 µg/m³ of PM2.5. That day averaged 52: 3.4 times the WHO daily guideline (15).

PM2.5 peak117 µg/m³
Days over the guideline10 days
PM10168 µg/m³
Optical depth0.95
101112131415161718192021
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 · 435Every 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 12 December 2022 to 19 December 2022 (8 days). The perimeter dates it from 12 December 2022 to 18 December 2022.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 12,591 hectares (125.9 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Rafaï (11,993 ha, 0.4 %); Yalinga (696 ha, 0.0 %).
What was the weather like?
During the fire the temperature reached 35.6 °C, humidity dropped to 13 % and gusts hit 35 km/h. The fire danger index (FWI) reached 46, class Very high.
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 · 1 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
  1. Last day with fire: 18 December 2022 → 19 December 2022.

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 12 December 2022 to 18 December 2022. 435 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 2020, 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.