Tambura fire, 6 December 2016 Tambura, Wau, Raga
The fire started on 6 December 2016 in Tambura, South Sudan, and satellites saw it burning for 48 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 422,275 hectares from heat detections, spread across 3 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:
- 15,759 haRaga15 December 2016 · 24 days
- 12,873 haDjema3 January 2017 · 10 days
- 8,830 haDjema16 December 2016 · 16 days
- 8,065 haOboDecember 2016 · 19 days
- 7,001 haTambura28 December 2016 · 12 days
- 6,585 haLiliDecember 2016 · 15 days
- 6,561 haTambura10 December 2016 · 14 days
- 5,959 haDjema16 December 2016 · 19 days
It is the largest fire in Western Equatoria since 2016 (of 359 with a page). Number 2 in South Sudan in 2016, of 244.
Compare with…
- Burnt area
- 422,275ha
- GWIS perimeter (Copernicus)
- Duration
- 48days
- 6 Dec 2016 – 22 Jan 2017
- Municipalities hit
- 3
- counties
- Started on
- 6 Dec
- 2016
- Heat detections
- 18,160
- in a single hotspot: 367 MW
- Danger at start
- 32
- High · FWI index
- Average daily power
- 3.6GW
- 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 12 days without rain (1 mm or more) when it started.
This area had burned before
No earlier perimeters overlap this fire since 2016, when the satellite record begins.
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
-
Tambura where it started315,866 ha reached on 6 Dec25 %
-
25,971 ha reached on 9 Dec1.3 %
-
25,951 ha reached on 16 Dec0.4 %
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 2015Inside the perimeter there was no noticeable built-up land and almost nobody lived there (GHSL 2015, 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) |
|---|---|---|---|---|---|
| 6 Dec | 35.8 °C | 19 % | 25 km/h | 0.0 mm | High 32 |
| 7 Dec | 34.8 °C | 18 % | 26 km/h | 0.0 mm | High 35 |
| 8 Dec | 35.9 °C | 14 % | 36 km/h | 0.0 mm | Very high 42 |
| 9 Dec | 35.6 °C | 14 % | 37 km/h | 0.0 mm | Very high 43 |
| 10 Dec | 36.3 °C | 16 % | 35 km/h | 0.0 mm | Very high 43 |
| 11 Dec | 35.6 °C | 16 % | 33 km/h | 0.0 mm | Very high 42 |
| 12 Dec | 35.9 °C | 17 % | 40 km/h | 0.0 mm | Very high 47 |
| 13 Dec | 36.3 °C | 18 % | 39 km/h | 0.0 mm | Very high 46 |
| 14 Dec | 35.2 °C | 14 % | 34 km/h | 0.0 mm | Very high 44 |
| 15 Dec | 33.9 °C | 13 % | 23 km/h | 0.0 mm | Very high 40 |
| 16 Dec | 34.6 °C | 13 % | 28 km/h | 0.0 mm | Very high 42 |
| 17 Dec | 35.3 °C | 13 % | 39 km/h | 0.0 mm | Very high 48 |
| 18 Dec | 35.1 °C | 13 % | 40 km/h | 0.0 mm | Extreme 50 |
| 19 Dec | 35.2 °C | 16 % | 42 km/h | 0.0 mm | Extreme 52 |
| 20 Dec | 35.6 °C | 15 % | 45 km/h | 0.0 mm | Extreme 55 |
| 21 Dec | 36.3 °C | 17 % | 39 km/h | 0.0 mm | Extreme 51 |
| 22 Dec | 36.3 °C | 17 % | 40 km/h | 0.0 mm | Extreme 51 |
| 23 Dec | 36.7 °C | 18 % | 44 km/h | 0.0 mm | Extreme 54 |
| 24 Dec | 36.6 °C | 19 % | 35 km/h | 0.0 mm | Very high 49 |
| 25 Dec | 37.0 °C | 17 % | 42 km/h | 0.0 mm | Extreme 53 |
| 26 Dec | 35.6 °C | 17 % | 38 km/h | 0.0 mm | Extreme 53 |
| 27 Dec | 35.5 °C | 18 % | 39 km/h | 0.0 mm | Extreme 52 |
| 28 Dec | 35.3 °C | 17 % | 39 km/h | 0.0 mm | Extreme 53 |
| 29 Dec | 36.1 °C | 15 % | 34 km/h | 0.0 mm | Extreme 50 |
| 30 Dec | 36.7 °C | 14 % | 37 km/h | 0.0 mm | Extreme 52 |
| 31 Dec | 37.0 °C | 12 % | 42 km/h | 0.0 mm | Extreme 56 |
| 1 Jan | 37.2 °C | 13 % | 40 km/h | 0.0 mm | Extreme 54 |
| 2 Jan | 36.4 °C | 15 % | 33 km/h | 0.0 mm | Extreme 50 |
| 3 Jan | 35.8 °C | 15 % | 37 km/h | 0.0 mm | Extreme 53 |
| 4 Jan | 36.4 °C | 14 % | 41 km/h | 0.0 mm | Extreme 55 |
| 5 Jan | 35.6 °C | 14 % | 41 km/h | 0.0 mm | Extreme 57 |
| 6 Jan | 37.3 °C | 11 % | 40 km/h | 0.0 mm | Extreme 57 |
| 7 Jan | 37.8 °C | 10 % | 39 km/h | 0.0 mm | Extreme 56 |
| 8 Jan | 37.6 °C | 9 % | 35 km/h | 0.0 mm | Extreme 54 |
| 9 Jan | 36.7 °C | 9 % | 38 km/h | 0.0 mm | Extreme 55 |
| 10 Jan | 37.6 °C | 9 % | 32 km/h | 0.0 mm | Extreme 54 |
| 11 Jan | 37.9 °C | 9 % | 40 km/h | 0.0 mm | Extreme 58 |
| 12 Jan | 37.5 °C | 11 % | 44 km/h | 0.0 mm | Extreme 62 |
| 13 Jan | 37.7 °C | 8 % | 41 km/h | 0.0 mm | Extreme 60 |
| 14 Jan | 38.2 °C | 8 % | 23 km/h | 0.0 mm | Extreme 51 |
| 15 Jan | 38.7 °C | 9 % | 40 km/h | 0.0 mm | Extreme 59 |
| 16 Jan | 39.0 °C | 9 % | 37 km/h | 0.0 mm | Extreme 60 |
| 17 Jan | 39.0 °C | 9 % | 47 km/h | 0.0 mm | Extreme 65 |
| 18 Jan | 39.0 °C | 9 % | 42 km/h | 0.0 mm | Extreme 60 |
| 19 Jan | 39.2 °C | 9 % | 43 km/h | 0.0 mm | Extreme 62 |
| 20 Jan | 39.4 °C | 10 % | 36 km/h | 0.0 mm | Extreme 57 |
| 21 Jan | 39.5 °C | 9 % | 39 km/h | 0.0 mm | Extreme 63 |
| 22 Jan | 39.2 °C | 11 % | 41 km/h | 0.0 mm | Extreme 64 |
| 23 Jan after | 39.5 °C | 11 % | 48 km/h | 0.0 mm | Extreme 68 |
| 24 Jan after | 37.6 °C | 12 % | 28 km/h | 0.0 mm | Extreme 55 |
| 25 Jan after | 36.9 °C | 21 % | 35 km/h | 0.0 mm | Extreme 52 |
| 26 Jan after | 37.0 °C | 22 % | 37 km/h | 0.0 mm | Extreme 52 |
| 27 Jan after | 37.1 °C | 13 % | 31 km/h | 0.0 mm | Very high 47 |
| 28 Jan after | 38.1 °C | 12 % | 30 km/h | 0.0 mm | Very high 50 |
| 29 Jan after | 36.6 °C | 10 % | 24 km/h | 0.0 mm | Extreme 50 |
| 30 Jan after | 37.5 °C | 8 % | 23 km/h | 0.0 mm | Very high 49 |
| 31 Jan after | 37.8 °C | 8 % | 30 km/h | 0.0 mm | Extreme 53 |
| 1 Feb after | 36.8 °C | 7 % | 47 km/h | 0.0 mm | Extreme 64 |
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 · 18,160Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 199,786 haTambura7 January 2026 · 17 days · 14 km away
- 58,828 haTambura10 December 2018 · 33 days · 19 km away
- 122,319 haTambura15 December 2024 · 53 days · 20 km away
- 64,093 haTambura14 December 2022 · 36 days · 20 km away
- 61,665 haTamburaDecember 2019 · 43 days · 22 km away
- 67,391 haWau8 January 2024 · 26 days · 23 km away
Frequently asked questions
- How long did the Tambura fire last?
- According to the heat detections seen by satellite inside the perimeter, it burned from 6 December 2016 to 22 January 2017 (48 days). The perimeter dates it from 13 December 2016 to 15 January 2017.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 422,275 hectares (4,222.8 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire entered 3 municipalities: Tambura (315,866 ha, 25 %); Wau (25,971 ha, 1.3 %); Raga (25,951 ha, 0.4 %).
- What was the weather like?
- During the fire the temperature reached 39.5 °C, humidity dropped to 8 % and gusts hit 47 km/h. The fire danger index (FWI) reached 65, class Extreme.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of South Sudan (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 · 2 Changes in area, dates, name, official record or merged pages, compared every night since 24 October 2026.
- Last day with fire: 15 January 2017 → 22 January 2017.
- Start date: 13 December 2016 → 6 December 2016.
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 13 December 2016 to 15 January 2017. 18,160 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 2015, 100 m cells), summed inside the perimeter: an estimate of what was there, not a damage count.
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 ADM2 (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.