Modern severe weather prediction

Dark cloudy sky above a field
Weather & Environment
Meteorology

   
Severe weather is defined as any dangerous meteorological phenomenon that represents a risk to life, property or requires intervention by the authorities.

In recent years the number and severity of these types of weather events such as tornadoes, wind gusts, tropical cyclones, waterspouts, sandstorms, forest fires, hail, electrical storms, monsoons and tropical cyclones has increased alarmingly. For this reason, it is necessary for the competent organizations to have early warning systems to guarantee the safety of the communities.

Join us in this webinar to learn about:
•    The importance of acquiring information from various sources and ability to integrate the data for accurate predictions.
•    Providing accurate data- and model-based predictions for different purposes, such as early warning systems
•    Elements needed for setting up remote sensing systems and data flows for easy access to information and ability to integrate data to characterize weather phenomena

Who should attend:

Decision-makers in meteorology, industry, and anyone interested in tracking severe weather for their communities.

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Speakers: 

Laura Alku

Product manager

Laura Alku is a product manager for the remote sensing application software IRIS FOCUS at Vaisala. Her passion is to find ways to adapt and create products to help our users in the critical task of understanding, monitoring and forecasting the weather. Leveraging 10 years of experience in radar meteorology and background on signal processing and electronic engineering, she find it fascinating to see how technology is contributing to understanding the environment better.

Timo Lyly

Product manager, Weather Radars, Vaisala

Long experience in different roles related to weather radar business. Part of the R&D teams developing wind profiler, weather radar and radio theodolite products. Has also background in service and project management positions. Background in electrical engineering and meteorology. 

Daniel Paletti

Product Line Manager, Scanning Wind Lidars

Daniel Paletti serves as Product Manager of WindCube Scan at Vaisala. Daniel received his Engineering degree (MSc) in aeronautics and space from the ISAE-SUPAERO, Toulouse, France in 2011.
 

Phillip Falgoust

Product Manager, Lightning Networks and Sensors

Phillip Falgoust serves as Product Manager of Lightning Networks and Sensors at Vaisala. Phillip received his BSc in Meteorology from Millersville University of Pennsylvania in 2011.
https://www.linkedin.com/in/phillip-falgoust-53a95047/