On 9 September 2026, the European Space Agency announced that MTG-I2 had reached its geostationary orbit, twelve days after its launch from French Guiana. For a weather satellite, this milestone is significant: its instruments must continuously observe the same region of the Earth, rather than flying over it for a few minutes on each orbit. But being in the right place does not mean that images and alert products are immediately available. MTG-I2 was then entering its commissioning phase, during which teams verify pointing, instruments, transmissions and the quality of the measurements. That is the difference between an observatory that has arrived at its post and a service on which one can depend.
A seemingly fixed orbit, but a lot of work in reality
The satellite was launched on 27 August on an Ariane 6 rocket. After separation, controllers established contact, deployed the solar panels and performed several manoeuvres with its apogee engine. According to ESA, the final adjustment placed it near 3.5 degrees east longitude, at an altitude of about 36,000 kilometres. From the ground, an object in this orbit appears to stay above the same area of Earth because its revolution follows the planet's rotation. This "fixed" position is a useful appearance, not an absolute immobility: it still needs to be maintained and precisely measured.
The Malindi station in Kenya participated in establishing communications after launch. This detail recalls that the system is not limited to the European satellite. It relies on stations, operators, transmission networks, and centers capable of processing data. MTG-I2 joins MTG-I1, launched in 2022, and MTG-S1, launched in 2025. One of the satellites images cloud cover and other surface phenomena; the radiometer adds information on the vertical state of the atmosphere. These instruments are complementary, but their products are not interchangeable.
Two instruments, two weather questions
The Flexible Combined Imager, or FCI, measures the light received in several visible and infrared bands. It can track the evolution of clouds, air masses, fog or certain plumes. A sequence of images is particularly valuable for distinguishing a structure that is growing from one that is simply moving. EUMETSAT plans for MTG-I2 to scan Europe and North Africa at a rate of two and a half minutes. It would be misleading to promise the same targeted cadence for Douala: for Central Africa, it is the broader coverage of the Earth's disk by the constellation and its broadcast products that is relevant.
The Lightning Imager detects flashes of lightning. It does not photograph the exact path of each current between a cloud and the ground. It provides information about the electrical activity of a thunderstorm system, including lightning within clouds. According to EUMETSAT, this continuous observation from orbit can help detect the intensification of a convective cell where ground-based detection networks are scarce. It does not replace radar, rainfall measurements, or the vigilance of meteorological services. A single observed lightning strike does not, by itself, indicate the amount of water that will fall on a given area.
What Calibration Means
A weather image appears instantly on the screen, but several steps separate the received photons from a usable product. Technicians check that each pixel corresponds to the correct location, that the different bands overlap correctly, and that the radiometric response of the instrument remains stable. They also evaluate reception delays, possible data losses, and consistency with other satellites or ground-based observations. Without these checks, a false temperature variation or location error could be mistaken for a real change in the atmosphere.
Operational launch is a decision made by the operating system, EUMETSAT, following these tests. ESA's announcement of 9 September is therefore not sufficient to assert that MTG-I2 is already providing alerts over the continent. It indicates a physical and technical milestone: the final orbit has been achieved and the commissioning phase can begin. To follow up on this, we will need to look at product announcements, their level of validation, and their distribution methods, rather than inferring availability from a simple launch photograph.
Why Central Africa is affected
The Meteosat geostationary satellites observe Africa and the surrounding oceans at close intervals. For the Gulf of Guinea, the practical question is: can we detect the formation of convective clouds over the sea in time, and then track their approach to a city or an air route? Repeated images help to build this chronology. Lightning data can provide another clue to the evolution of the storm. But a local decision also requires rainfall records, information on watersheds, alert thresholds, and channels to reach exposed people.
There is already a concrete point of reference. EUMETSAT indicated in 2026 that products from the first MTG satellite were being broadcast in Africa via EUMETCast Africa and that meteorological services were testing them in their operations. The new satellite can strengthen this architecture; it does not create it from scratch. For a Cameroonian team, a useful survey would be to ask which products are actually received, at what frequency, with what latency, and what comparisons are made with national observations. Answers may vary from one service to another and may change as products are validated.
From an image to an alert message
Imagine an episode of intense rain near Douala. An analyst could track cloud tops on multiple images, examine electrical activity, and then compare this signal to surface observations and a numerical forecast. Then, the risk in specific locations would need to be assessed: a large cold spot in the infrared does not indicate the same intensity of rain everywhere. A threshold for aviation does not automatically translate to a warning of urban flooding. Finally, technically accurate information that is released too late loses much of its value.
The best indicator of progress would not be the number of beautiful MTG-I2 images shared online. It would be a measured alert time, a documented false alarm rate, and demonstrated improvement over existing methods. Authorities must be able to explain what they know, what they assume, and what remains uncertain. Satellite data enriches this work; it does not replace human judgment or the responsibility to communicate clearly.
Three proofs to expect after the announcement of the orbit
The first would be a product sheet describing the available channels, their resolution, the applied calibrations, and quality indicators. A single image does not reveal whether a one-hour difference is due to the atmosphere or the processing chain. Operators must therefore document the parameters and the periods during which the data are not reliable. A second piece of evidence would be a series of tests comparing MTG-I2 observations with those from other satellites and surface measurements. The differences will not be identical depending on geography, season, and viewing geometry.
The third piece of evidence concerns usage. What product is actually being broadcast in Africa, through what channel and with what latency? A Cameroonian team could select a few documented storm episodes, retrieve the available images, and note the decisions they might have improved upon. Cases where the image does not help should be included: similar top clouds producing different rainfall, rapid system switching between two broadcasts, lightning without flooding. An evaluation that only shows successes will say nothing about the reliability of an alert system.
MTG-I2 has taken an essential step by reaching its position in space. The next crucial step is less spectacular: proving that its measurements are stable, reproducible, and integrated into reliable services. Only then will it be possible to accurately assess what this satellite adds to weather forecasting for Central Africa.