Ride the X-band wave for meteorological and hydrological surveillance

X-band radar antenna below a storm cloud
Weather & Environment
Meteorology

Leveraging dual-polarization performance designed to deliver exceptional accuracy, the X-band Weather Radar delivers clean data to increase safety and improve operational efficiency.

Advantages:

  • Smaller size and lower cost make X-band ideal for enhancing localized weather detection
  • Fills the gaps in tough terrain to reliably detect snow, rain, and other weather activity
  • Improves the accuracy of precipitation measurement in existing networks.

X-band utilizes simple site selection, automatic and continuous calibration, easy installation and integration into existing networks, a simplified signal path and new measurement methods to make this technology industry-leading.
 
Remote operation and diagnostics reduce the need for site visits and empower decision-makers with high-quality data, 24/7 availability, and improved sensitivity.
 
Ride the X-band wave and join the webinar to learn more.
 
Please join us for a 30-minute webinar to learn

  • What makes weather radar extraordinary especially in severe weather
  • Weather radar categories: X, C, and S-band
  • Applications of X-band radar. 

Who should attend:
Everybody who wants to learn more about meteorological and hydrological surveillance.

Please register to receive and email with an immediate access to the webinar.

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Speaker:

Application manager Pekka Rossi, Vaisala
Liftup: Contact Card | Apr 15, 2020

Pekka Rossi

Application Manager, Weather Radars

Pekka Rossi, PhD, is a weather radar application manager with the special area of expertise in weather radar based nowcasting. Before joining Vaisala, Pekka worked for six years as a weather radar expert at the Finnish Meteorological Institute (FMI), where his duties included scientific research of weather radar and lightning-based applications.

Pekka received his MSc in Electrical Engineering from Helsinki University of Technology in 2009, and his PhD in Automation and Systems Technology from Aalto University in 2015. The topic of his PhD thesis relates to automatic nowcasting of thunderstorms using weather radar and lightning location data. During his PhD studies he also completed a minor in Meteorology at University of Helsinki.