EUMETSAT Polar System: Metop and the global forecasting network

The EUMETSAT Polar System, EPS, combines first-generation Metop spacecraft with the ground infrastructure that controls them, processes observations and delivers products. Metop-A launched in 2006, followed by Metop-B in 2012 and Metop-C in 2018. The spacecraft family is a central part of the program, but the program includes more than its vehicles.

Metop’s low, near-polar orbit takes its instruments over successive parts of the rotating planet. This supports broad coverage, including high latitudes that a geostationary viewpoint observes poorly. A polar orbiter does not continuously watch one European storm in the way a geostationary imager can. The two viewpoints supply complementary spatial and temporal information.

EPS contributes the European morning-orbit component of the Initial Joint Polar System with NOAA, which provides complementary afternoon coverage. The cooperation includes instrument contributions and ground support as well as orbital scheduling. Morning and afternoon refer to local solar-time sampling, not a promise that a satellite is always above a particular city at one clock time.

The payload provides observations relevant to temperature and humidity profiles, ocean winds, atmospheric composition and surface conditions. Instruments contributed through ESA, EUMETSAT, CNES and NOAA support different physical measurements. The MetOp-C test photograph shows a payload module being prepared for space conditions; flight calibration and subsequent observations establish how those instruments perform in orbit.

Weather models need measurements in time for their analysis cycles. Receiving and processing data promptly is therefore part of the observing system’s value. A scientifically useful observation that arrives after a forecast deadline cannot improve that particular issued forecast, although it may remain useful for later analysis or climate research.

Imagine a fictional model update that needs atmospheric profiles over several oceans. Select suitable observations, check their acquisition times and quality, and distinguish missing coverage from delayed delivery. Compare the model with independent observations when evaluating improvement. EPS’s global measurements support forecasting through this complete chain, rather than turning a single satellite pass directly into a finished weather forecast.