Rafaï fire, 10 December 2018 Yalinga, Rafaï
The fire started on 10 December 2018 in Rafaï, Central African Republic, and satellites saw it burning for 45 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 80,563 hectares from heat detections, spread across 2 municipalities.
This page is probably a fire complex, not a single fire. GWIS merges into one perimeter the fires that touch over weeks, which in large burning seasons can join dozens of separate fires. The total area is reliable; the origin and dates refer to the whole complex.
Other fire pages in the same area and on the same dates:
- 267,715 haYalinga24 December 2018 · 36 days
- 80,071 haRafaï18 December 2018 · 39 days
- 71,520 haYalinga18 December 2018 · 41 days
- 35,557 haDjema2 January 2019 · 28 days
- 11,790 haRafaï4 January 2019 · 13 days
- 10,129 haDjema15 December 2018 · 17 days
- 9,516 haYalinga2 January 2019 · 10 days
- 7,967 haYalinga31 December 2018 · 10 days
It is the 4th largest in Mbomou since 2016 (of 80 with a page). Number 7 in Central African Republic in 2018, of 81.
Compare with…
- Burnt area
- 80,563ha
- GWIS perimeter (Copernicus)
- Duration
- 45days
- 10 Dec 2018 – 23 Jan 2019
- Municipalities hit
- 2
- sub-prefectures
- Started on
- 10 Dec
- 2018
- Heat detections
- 3,325
- in a single hotspot: 365 MW
- Danger at start
- 31
- High · FWI index
- Average daily power
- 664MW
- detected power per day, on average
Where it burned
How it evolved, day by day
Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.
The weather it burned in
It had gone 36 days without rain (1 mm or more) when it started. Rain came after the fire: 2.1 mm on 28 Jan.
This area had burned before
90% of the perimeter overlaps earlier fires recorded since 2016: 79,263 ha in 2016, 26,011 ha in 2017, 23,449 ha in 2018. Part of it burned more than once, so the yearly figures add up to more than the 72,591 ha that had burned before.
- 28,134 ha Yalinga fire, January 2016 39,739 ha in total; the hectares shown are those it shares with this fire
- 15,681 ha Yalinga fire, January 2017 238,204 ha in total; the hectares shown are those it shares with this fire
- 15,290 ha Rafaï fire, January 2016 58,216 ha in total; the hectares shown are those it shares with this fire
- 6,122 ha Yalinga fire, December 2016 10,955 ha in total; the hectares shown are those it shares with this fire
- 5,074 ha Yalinga fire, December 2016 5,473 ha in total; the hectares shown are those it shares with this fire
- 5,036 ha Yalinga fire, December 2016 8,131 ha in total; the hectares shown are those it shares with this fire
- 3,854 ha Yalinga fire, January 2018 5,098 ha in total; the hectares shown are those it shares with this fire
- 3,254 ha Yalinga fire, December 2017 34,758 ha in total; the hectares shown are those it shares with this fire
How big is it?
London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).
Paris boundary: geoBoundaries · Institut national de l'information géographique et forestière (IGN-F) (Etalab Open License 2.0).
Madrid boundary: geoBoundaries · Open Data ESRI, IGN Central Registry of Cartography Area (CC BY 4.0).
Berlin boundary: geoBoundaries · Federal Agency for Cartography and Geodesy (dl-de/by-2-0).
This compares size, not location: both shapes are at the same scale, north up, centred on each other.
What happened to each town
-
51,311 ha reached on 14 Dec1.2 %
-
Rafaï where it started29,744 ha reached on 10 Dec1.1 %
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.
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) |
|---|---|---|---|---|---|
| 10 Dec | 33.2 °C | 25 % | 20 km/h | 0.0 mm | High 31 |
| 11 Dec | 33.5 °C | 18 % | 22 km/h | 0.0 mm | High 32 |
| 12 Dec | 34.1 °C | 16 % | 28 km/h | 0.0 mm | High 34 |
| 13 Dec | 34.7 °C | 14 % | 36 km/h | 0.0 mm | Very high 39 |
| 14 Dec | 34.9 °C | 15 % | 32 km/h | 0.0 mm | High 38 |
| 15 Dec | 35.7 °C | 17 % | 30 km/h | 0.0 mm | High 37 |
| 16 Dec | 35.3 °C | 20 % | 24 km/h | 0.0 mm | High 37 |
| 17 Dec | 35.6 °C | 17 % | 30 km/h | 0.0 mm | High 38 |
| 18 Dec | 33.9 °C | 12 % | 28 km/h | 0.0 mm | Very high 39 |
| 19 Dec | 35.0 °C | 14 % | 33 km/h | 0.0 mm | Very high 42 |
| 20 Dec | 34.2 °C | 16 % | 37 km/h | 0.0 mm | Very high 44 |
| 21 Dec | 34.3 °C | 17 % | 36 km/h | 0.0 mm | Very high 45 |
| 22 Dec | 34.0 °C | 18 % | 37 km/h | 0.0 mm | Very high 46 |
| 23 Dec | 34.3 °C | 17 % | 40 km/h | 0.0 mm | Very high 47 |
| 24 Dec | 34.4 °C | 17 % | 31 km/h | 0.0 mm | Very high 45 |
| 25 Dec | 35.2 °C | 18 % | 32 km/h | 0.0 mm | Very high 44 |
| 26 Dec | 36.0 °C | 18 % | 34 km/h | 0.0 mm | Very high 45 |
| 27 Dec | 36.5 °C | 16 % | 33 km/h | 0.0 mm | Very high 45 |
| 28 Dec | 35.4 °C | 20 % | 29 km/h | 0.0 mm | Very high 43 |
| 29 Dec | 35.5 °C | 17 % | 29 km/h | 0.0 mm | Very high 44 |
| 30 Dec | 35.6 °C | 14 % | 31 km/h | 0.0 mm | Very high 48 |
| 31 Dec | 34.4 °C | 15 % | 34 km/h | 0.0 mm | Very high 48 |
| 1 Jan | 35.3 °C | 17 % | 30 km/h | 0.0 mm | Very high 44 |
| 2 Jan | 36.8 °C | 18 % | 30 km/h | 0.0 mm | Very high 44 |
| 3 Jan | 36.2 °C | 18 % | 40 km/h | 0.0 mm | Extreme 51 |
| 4 Jan | 36.5 °C | 14 % | 38 km/h | 0.0 mm | Extreme 51 |
| 5 Jan | 36.6 °C | 16 % | 38 km/h | 0.0 mm | Extreme 51 |
| 6 Jan | 35.4 °C | 21 % | 22 km/h | 0.0 mm | Very high 40 |
| 7 Jan | 35.2 °C | 17 % | 28 km/h | 0.0 mm | Very high 45 |
| 8 Jan | 34.7 °C | 14 % | 24 km/h | 0.0 mm | Very high 45 |
| 9 Jan | 34.9 °C | 14 % | 28 km/h | 0.0 mm | Very high 46 |
| 10 Jan | 35.7 °C | 14 % | 24 km/h | 0.0 mm | Very high 45 |
| 11 Jan | 37.5 °C | 14 % | 31 km/h | 0.0 mm | Very high 50 |
| 12 Jan | 37.5 °C | 14 % | 31 km/h | 0.0 mm | Very high 48 |
| 13 Jan | 37.9 °C | 14 % | 22 km/h | 0.0 mm | Very high 42 |
| 14 Jan | 34.6 °C | 26 % | 25 km/h | 0.0 mm | Very high 42 |
| 15 Jan | 34.7 °C | 26 % | 34 km/h | 0.0 mm | Very high 42 |
| 16 Jan | 34.4 °C | 30 % | 24 km/h | 0.0 mm | High 37 |
| 17 Jan | 35.9 °C | 12 % | 33 km/h | 0.0 mm | Very high 48 |
| 18 Jan | 35.7 °C | 11 % | 27 km/h | 0.0 mm | Very high 45 |
| 19 Jan | 36.5 °C | 12 % | 23 km/h | 0.0 mm | Very high 45 |
| 20 Jan | 36.9 °C | 11 % | 26 km/h | 0.0 mm | Very high 46 |
| 21 Jan | 37.2 °C | 9 % | 30 km/h | 0.0 mm | Very high 49 |
| 22 Jan | 37.2 °C | 9 % | 27 km/h | 0.0 mm | Very high 48 |
| 23 Jan | 37.1 °C | 10 % | 32 km/h | 0.0 mm | Extreme 53 |
| 24 Jan after | 38.3 °C | 9 % | 27 km/h | 0.0 mm | Very high 49 |
| 25 Jan after | 37.0 °C | 18 % | 30 km/h | 0.0 mm | Very high 49 |
| 26 Jan after | 37.2 °C | 23 % | 35 km/h | 0.0 mm | Very high 48 |
| 27 Jan after | 35.6 °C | 29 % | 35 km/h | 0.0 mm | Very high 43 |
| 28 Jan after | 35.7 °C | 29 % | 27 km/h | 2.1 mm | Moderate 21 |
Before and after, from space
Drag the line to compare the same ground before the fire and after it.
If the day is cloudy, change the date: each satellite passes once a day. In false colour the burnt ground looks brown or red.
Detections table · 3,325Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
Frequently asked questions
- How long did the Rafaï fire last?
- According to the heat detections seen by satellite inside the perimeter, it burned from 10 December 2018 to 23 January 2019 (45 days). The perimeter dates it from 12 December 2018 to 16 January 2019.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 80,563 hectares (805.6 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 2 municipalities: Yalinga (51,311 ha, 1.2 %); Rafaï (29,744 ha, 1.1 %).
- What was the weather like?
- During the fire the temperature reached 37.9 °C, humidity dropped to 9 % and gusts hit 40 km/h. The fire danger index (FWI) reached 53, 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.
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.
Report an error
How we know this
- Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery; 4 polygons grouped in this page.
- Dates adjusted with the VIIRS detections inside the perimeter, which said 12 December 2018 to 16 January 2019. 3,325 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.
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.