Drone-enabled weather forecasts

Unique data from the planetary boundary layer 

Drone-enabled weather forecasts

Unique data from the planetary boundary layer 

How data from 3km above ground revolutionizes the world of weather forecasting

We aggregate and downscale data from the world’s leading meteorological and scientific institutions and we run our own high resolution downscaled model.

    thE Problem: Big data gap

    THe solution: Meteodrone measurements

    Meteodrones - The weather stations of the future

    Meteodrone SSE

    size: 60cm X 60cm

    flight altitude: 3km

    max. wind speed: 75km/h

    Meteodrone Classic

    size: 70cm X 70cm

    flight altitude: 3km

    max. wind speed: 60km/h

    Meteodrone XL

    size: 90cm X 90cm

    flight altitude: 3km

    max. wind speed: 40km/h

    What is Meteodrone-enabled hyperlocal forecasting?

    Swiss1K is the downscaled weather model of Meteomatics with a resolution of 1 km that is successfully delivering operational forecasts several times a day for Switzerland. The principle of this model can be applied anywhere on the globe. The opportunities presented by having such a granular forecast available are particularly evident for energy businesses and water utilities, such as the spatial resolution of rainfall.

    In addition to this highly granular local forecast Meteomatics is able to ingest the meteorological data gathered by its Meteodrones and the benefits of this have already been extensively demonstrated across Switzerland which has effectively been a national test bed for Meteomatics’ innovations. Once the data from the Meteodrone has been acquired, they can be straightforwardly ingested into mesoscale models such as MM5 and WRF without implementing any additional forward observational operators: Therefore, we use a data format recognised by WRF which allows for the “recycling” of all existing data assimilation routines for balloon soundings.

    Depending on the specific topography, the radius of influence of the Meteodrone gathered data can be 10 to 30 miles depending on the height of the mission. Existing 4d-nudging or 4d-VAR routines can also be used to add the drone data into the initial state of the weather model.

    The hyperlocal Swiss1K model is also required for aerodrome  operational forecasts, which have particular skill in forecasting fog formation and clearance, icing, thunderstorms and lightning. An example of this is the recently completed DETAF (Drone Enabled Terminal Airport Forecast) project at Zurich airport where independent verification proved the value of Meteodrone data and its assimilation into hyperlocal weather models for airport operations.