Weather forecast

1. Observation satellites and monitoring stations around the world collect weather data.
2. The data is sent to weather centers.
3. Meteorologists add the data to predictive models and have it processed by computers.

Each predictive model takes into account the specifics of atmospheric circulation, water evaporation and condensation, the Earth's heat, and many other factors. After the data is processed, the meteorologists get a forecast of temperature, precipitation, wind speed and direction, and other weather events.

None of the predictive models is absolutely accurate, and each of them has its own advantages and disadvantages. Therefore, we use the Meteum technology to calculate forecasts: it combines prognostic modeling with machine learning.

Meteum is a weather forecasting technology. Powered by machine learning, Meteum compares data from different predictive models and then makes its own forecast.

Meteum produces the forecast in two stages.

Stage 1. Making its own forecast

1. Meteum receives data from weather stations and satellites. To make the forecast more accurate, the service uses detailed mapping data on the type of underlying surface.
2. The service makes its own forecast using a predictive model. Unlike most meteorological companies, the Meteum generates forecasts not only for regions and major cities but also for individual city districts, metro stations, suburban settlements, and other locations.

Stage 2. Producing the final version of the forecast

1. The service gets information about forecasts made using other predictive models including US, Canadian, Japanese, and European ones.
2. Meteum compares forecasts and actual weather conditions using machine learning algorithms. The algorithms identify the model with the most accurate forecast for particular weather conditions and region. If no model provides a highly accurate forecast, Meteum combines data from the most accurate forecasts to make its own one.

The services uses Meteum to make forecasts for regions and cities around the world.

The forecast takes into account the user's exact location.

Forecast data is displayed in numerical form on the service homepage and in the detailed forecast.

You can view the graphical representation of the forecast on the temperature, wind, precipitation, and pressure maps.

The service provides current weather data and data for upcoming hours and days.

Weather data is updated at least once every three hours. The frequency of updating weather data for a particular city depends on when the data is updated at the nearest weather station.

Precipitation maps are updated for mapped regions every 10 minutes.

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