Mbarali fire, August 2026 Mbarali
The fire started on 16 August 2026 in Mbarali, Tanzania, and satellites saw it burning for 7 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 3,619 hectares from heat detections, spread across a single municipality.
It is the 102th largest in Mbeya since 2016 (of 147 with a page). Number 126 in Tanzania in 2026, of 196.
The power measured by the satellite is low (9.0 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.
- Burnt area
- 3,619ha
- GWIS perimeter (Copernicus)
- Duration
- 7days
- 16 Aug 2026 – 22 Aug 2026
- Municipalities hit
- 1
- districts
- Started on
- 16 Aug
- 2026
- Heat detections
- 32
- in a single hotspot: 9 MW
- Danger at start
- 30
- High · FWI index
- Energy released
- 139MW
- sum of detected power
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 more than two months without rain (1 mm or more) when it started.
This area had burned before
61% of the perimeter overlaps earlier fires recorded since 2016: 166 ha in 2016, 719 ha in 2017, 304 ha in 2018, 794 ha in 2019, 911 ha in 2020, 664 ha in 2023, 21 ha in 2024, 169 ha in 2025. Part of it burned more than once, so the yearly figures add up to more than the 2,213 ha that had burned before.
What happened to each town
-
Mbarali where it started3,640 ha reached on 16 Aug0.2 %
Burnt area inside each municipality, from crossing the GWIS perimeter with administrative boundaries. The distance is from the town centre 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) |
|---|---|---|---|---|---|
| 16 Aug | 26.9 °C | 36 % | 26 km/h | 0.0 mm | High 30 |
| 17 Aug | 27.7 °C | 32 % | 28 km/h | 0.0 mm | High 30 |
| 18 Aug | 27.5 °C | 31 % | 30 km/h | 0.0 mm | High 34 |
| 19 Aug | 28.3 °C | 28 % | 32 km/h | 0.0 mm | High 34 |
| 20 Aug | 27.5 °C | 28 % | 31 km/h | 0.0 mm | High 32 |
| 21 Aug | 28.1 °C | 30 % | 30 km/h | 0.0 mm | High 34 |
| 22 Aug | 29.6 °C | 30 % | 27 km/h | 0.0 mm | High 30 |
| 23 Aug after | 27.6 °C | 41 % | 28 km/h | 0.1 mm | High 31 |
| 24 Aug after | 29.5 °C | 36 % | 34 km/h | 0.0 mm | High 33 |
| 25 Aug after | 29.1 °C | 32 % | 32 km/h | 0.0 mm | High 30 |
| 26 Aug after | 29.6 °C | 32 % | 29 km/h | 0.0 mm | High 32 |
| 27 Aug after | 28.8 °C | 32 % | 43 km/h | 0.0 mm | High 36 |
| 28 Aug after | 29.2 °C | 27 % | 37 km/h | 0.0 mm | High 36 |
| 29 Aug after | 27.3 °C | 33 % | 34 km/h | 0.0 mm | High 36 |
| 30 Aug after | 28.5 °C | 33 % | 29 km/h | 0.0 mm | High 34 |
| 31 Aug after | 28.5 °C | 34 % | 29 km/h | 0.0 mm | High 33 |
| 1 Sept after | 28.4 °C | 36 % | 30 km/h | 0.0 mm | High 35 |
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.
The smoke
CAMS · CopernicusOn 24 August 2026 the air beside the fire reached 25 µg/m³ of PM2.5. That day averaged 18: 1.2 times the WHO daily guideline (15).
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 · 32Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
- 11,028 haMbarali16 September 2026 · 23 days · 12 km away
- 18,660 haMbarali6 July 2016 · 15 days · 21 km away
- 9,766 haMbaraliAugust 2025 · 16 days · 22 km away
- 6,367 haMbarali29 September 2021 · 8 days · 22 km away
- 9,218 haMbarali1 September 2021 · 9 days · 26 km away
- 8,435 haMbarali19 September 2026 · 20 days · 27 km away
Frequently asked questions
- How long did the Mbarali fire last?
- GWIS (Copernicus) dates it between 16 August 2026 and 22 August 2026: 7 days between the first and last heat detection of the perimeter.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 3,619 hectares (36.2 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Mbarali (3,640 ha, 0.2 %).
- What was the weather like?
- During the fire the temperature reached 29.6 °C, humidity dropped to 28 % and gusts hit 32 km/h. The fire danger index (FWI) reached 34, class High.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Tanzania (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.
Emergency number: 112
Satellite cross-check
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
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.