The next era of precipitation networks: from sensor breakthrough to advanced forecasting
3 pm London, 10 am New York
Be amongst the first to witness this generational leap in precipitation measurement technology — register now to discover how the Vaisala PRECICAP® Radar Precipitation Sensor RM60 is transforming precipitation networks and forecasting capabilities.
Join us for an in-depth look at the revolutionary radar precipitation sensor that is enabling meteorological services to deploy the denser networks needed for improved flood warnings. Learn how maintenance-free technology removes the operational constraints that have limited precipitation network expansion for decades.
What you will learn:
- Challenges in today’s precipitation networks
- Enabling denser networks: How maintenance-free design with no windshields, no cleaning or heating needed allows network expansion
- Network economics: How lower lifecycle costs make denser networks financially viable
- Powering AI/ML forecasting: How high-resolution, real-time data from denser networks feeds next-generation prediction models
Who should attend
- Flood forecasting and early warning system managers
- National meteorological and hydrological service technical staff
- Precipitation network operators
- Climate monitoring and water resource management professionals
- Hydrological monitoring program managers
- Anyone responsible for improving flood prediction capabilities
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Featured speakers
Mikko Krapu
Product Line Manager, Vaisala
Mikko Krapu leads the strategy and direction of Vaisala’s precipitation, wind, and multi-weather sensor portfolio, uniting cutting-edge science, R&D, and a deep understanding of operational needs to shape the next generation of environmental observation. Over a 25-year career across three companies, he has guided advanced measurement technologies from early invention through development, launch, and global scale-up, collaborating closely with national meteorological services, customers, and partners worldwide. He holds a Master of Science in Physics and Computer Science from the University of Helsinki.
Scott Mackaro, Ph.D.
Chief Science Officer, Vaisala Xweather
Scott Mackaro is the Chief Science Officer for Vaisala Xweather. He is an established leader in the Atmospheric Science community, specializing in the areas of predictive modeling, artificial intelligence, machine learning, environmental monitoring, and their commercial applications. At Xweather, he brings together science, business, and technology to develop innovative solutions to some of humanity’s greatest challenges.
Mackaro received his Bachelor of Science degree in Meteorology from Millersville University of Pennsylvania in 2001 and his Master of Science and Doctor of Philosophy degrees from the University of Alabama in Huntsville in 2003 and 2008 respectively. He also holds business certificates from Harvard Business School Online.