Temperature, humidity and wind data in the lower atmosphere (3km) is sparse and irregular, which is why Meteomatics has focused on improving weather forecasting – to close the data gap and revolutionize the world of weather data.
With the introduction of artificial intelligence in 2018, meteoblue has managed to improve forecast accuracy by computing a ‘most likely consensus forecast’ using more than 25 different forecast models and observations from over 50,000 weather stations.
Set to be launched at the show, the new FT742-DM50 ultrasonic wind sensor from FT Technologies has been designed to withstand the most extreme weather conditions, making it one of the world’s toughest wind sensors.
Sommer Messtechnik is a well-known and well-established Austrian company that has focused on developing and manufacturing high-quality measurement sensors for the environmental sector for the past 30 years, with a focus on water and snow sensors.
Numerical weather prediction models (NWPs) have been widely used for weather forecasting since the 1950s. To achieve a balance between accuracy and computational cost, many NWPs, such as the Weather Research and Forecasting model (WRF), adopt a set of rectangular grids where local refinement is achieved by nesting a high-resolution domain inside coarser grids.
Launched in 2018, Biral’s BTD-200 is a complete lightning detection and warning system that identifies all forms of lightning up to 35km (22 miles) and is designed to be installed by non-technical staff.
Baron Gen3 radar systems are the primary data input for any integrated weather network, powering nowcasting operations, numerical weather prediction models, hydrology solutions, alerting applications and more.