Meteodrones & MeteoBase

Unique weather data from the planetary boundary layer

Meteodrones & MeteoBase

Unique weather data from the planetary boundary ht

Meteodrones - the mobile weather stations of the future

Existing weather models are struggeling to accurately predict local weather phenomena such as fog, strong winds and thunderstorms. This is primarily due to the limited amount of data available in the lowest layers of the atmosphere. An important step towards more forecasts are the own in-house designed, developed, manufactured, patented and operated Meteodrones. They collect data within the planetary boundary layer (approximately 3 km above ground). This allows to carry out highly precise measurements of temperature, humidity and windspeed in the planetary boundary layer.

Meteodrones - the mobile weather stations of the futur

Existing weather models are struggeling to accurately predict local weather phenomena such as fog, strong winds and thunderstorms. This is primarily due to the limited amount of data available in the lowest layers of the atmosphere. An important step towards more forecasts are the own in-house designed, developed, manufactured, patented and operated Meteodrones. They collect data within the planetary boundary layer (approximately 3 km above ground). This allows to carry out highly precise measurements of temperature, humidity and windspeed in the planetary boundary layer.

Weather measurements with a new dimension in precision

Weather measurements with a new dimension in precision

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.

Morning Fog at Lake Constance 05.04.17, 5Z & 6Z

Morning Fog at Lake Constance 05.04.17, 5Z & 6Z

Waterspouts at Lake Constance 03.09.17

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.

Morning Fog at Lake Constance 05.04.17, 5Z & 6Z

Morning Fog at Lake Constance 05.04.17, 5Z & 6Z

Waterspouts at Lake Constance 03.09.17

The MeteoBase

Since the start of operational drone flights in 2016, each Meteodrone had to be controlled by a pilot. An important step towards nationwide drone operations has been the development of the MeteoBase. The MeteoBase allows the remote support of up to 10 different drone systems simultaneously. It is the “home” of the drone from which it takes off, where it lands and charges its battery. For the first time a pilot is able to control multiple aircraft flying at the same time. In 2017, the first prototype of the MeteoBase was developed and tested under real conditions. In the future, weather data will be able to be collected more extensively, since pilots are not required for each aircraft.

The MeteoBase

Since the start of operational drone flights in 2016, each Meteodrone had to be controlled by a pilot. An important step towards nationwide drone operations has been the development of the MeteoBase. The MeteoBase allows the remote support of up to 10 different drone systems simultaneously. It is the “home” of the drone from which it takes off, where it lands and charges its battery. For the first time a pilot is able to control multiple aircraft flying at the same time. In 2017, the first prototype of the MeteoBase was developed and tested under real conditions. In the future, weather data will be able to be collected more extensively, since pilots are not required for each aircraft.

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Your business. Our know-how. Get in Touch!