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Mbarali fire, October 2023 Mbarali

Out · last detection 23 Oct 2023, 23:16 UTC

The fire started on 16 October 2023 in Mbarali, Tanzania, and satellites saw it burning for 7 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 5,235 hectares from heat detections, spread across a single municipality.

It is the 43th largest in Mbeya since 2016 (of 147 with a page). Number 12 in Tanzania in 2023, of 44.

Compare with…
Burnt area
5,235ha
GWIS perimeter (Copernicus)
Duration
7days
16 Oct 2023 – 22 Oct 2023
Municipalities hit
1
districts
Started on
16 Oct
2023
Heat detections
286
in a single hotspot: 37 MW
Danger at start
44
Very high · FWI index
Average daily power
307MW
detected power per day, on average

Where it burned

HOTSPOTS BY DAY 16 Oct22 Oct
23 Oct 2023

How it evolved, day by day

16 Oct 2023 · 219 MW · 28 17 Oct 2023 · 37 MW · 14 18 Oct 2023 · 664 MW · 57 19 Oct 2023 · 454 MW · 50 20 Oct 2023 · 125 MW · 20 21 Oct 2023 · 489 MW · 70 22 Oct 2023 · 456 MW · 38 23 Oct 2023 · 8 MW · 2
16 Oct 18 Oct 20 Oct 22 Oct

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
46km/h · peak gust
16%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: 3,752 ha in 2016, 599 ha in 2017, 143 ha in 2018, 4,460 ha in 2019, 3,158 ha in 2020, 3,842 ha in 2021, 1,311 ha in 2022. Part of it burned more than once, so the yearly figures add up to more than the 5,223 ha that had burned before.

How big is it?

10 km
It burned the equivalent of 3.3% of the area of London (52 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. Mbarali where it started
    5,269 ha reached on 15 Oct
    0.4 %

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 2025
Built-up area0.19 ha
Residents≈ 20

Inside the perimeter there were about 0.19 hectares of built-up land and about 20 residents (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)
16 Oct 35.3 °C 27 % 32 km/h 0.2 mm Very high 44
17 Oct 35.8 °C 16 % 34 km/h 0.0 mm Very high 48
18 Oct 36.2 °C 20 % 39 km/h 0.0 mm Extreme 55
19 Oct 35.8 °C 21 % 46 km/h 0.0 mm Extreme 57
20 Oct 32.9 °C 28 % 35 km/h 0.0 mm Very high 45
21 Oct 34.6 °C 24 % 37 km/h 0.0 mm Very high 47
22 Oct 36.5 °C 17 % 43 km/h 0.0 mm Extreme 55
23 Oct after 36.5 °C 13 % 38 km/h 0.0 mm Extreme 55
24 Oct after 36.9 °C 16 % 35 km/h 0.0 mm Extreme 52
25 Oct after 36.0 °C 20 % 28 km/h 0.0 mm Extreme 51
26 Oct after 35.3 °C 24 % 38 km/h 0.1 mm Extreme 52
27 Oct after 35.8 °C 17 % 41 km/h 0.0 mm Extreme 53
28 Oct after 35.3 °C 20 % 38 km/h 0.0 mm Extreme 52
29 Oct after 32.1 °C 33 % 27 km/h 0.1 mm Very high 40
30 Oct after 36.5 °C 18 % 48 km/h 0.0 mm Extreme 58
31 Oct after 35.1 °C 20 % 49 km/h 0.2 mm Extreme 58
1 Nov after 35.2 °C 22 % 41 km/h 0.4 mm Extreme 56

Before and after, from space

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

Before · 9 Oct 2023
After · 29 Oct 2023

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 22 October 2023 the air beside the fire reached 30 µg/m³ of PM2.5. That day averaged 15: 1.0 times the WHO daily guideline (15).

PM2.5 peak30 µg/m³
Days over the guideline1 day
PM1044 µg/m³
Optical depth0.44
141516171819202122232425
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 · 286Every 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 Tanzania ›

Frequently asked questions

How long did the Mbarali fire last?
GWIS (Copernicus) dates it between 16 October 2023 and 22 October 2023: 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 5,235 hectares (52.4 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire only entered Mbarali (5,269 ha, 0.4 %).
What was the weather like?
During the fire the temperature reached 36.5 °C, humidity dropped to 16 % and gusts hit 46 km/h. The fire danger index (FWI) reached 57, class Extreme.
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 · Emergency number and official warnings ›

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.

Report an error
What do you think is wrong?

We will only use your email to reply about this report. Privacy. This is not an emergency service: if there is a fire now, call 112.

How we know this
  • Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery.
  • Dates from the perimeter: the VIIRS detections inside it did not change them. 286 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 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.