Provides 360°/3D wind awareness at long range — giving decision-makers in meteorology and beyond the data they need for safety and efficiency.
WindCube Scan fills an important gap in modern meteorological forecasting. By providing continuous awareness of the boundary layer and other crucial factors, scanning lidar enables better forecasting, better decision-making, and more effective crisis management.
WindCube Scan units are compact, unattended, rugged devices suitable for any geography. Accurate and reliable over long service lives, they require very little site preparation and almost no human intervention after deployment. They are also simple and quick to repurpose if needs change.
WindCube Scan gives powerful data and reporting to meteorological and hydrological agencies. Quick to deploy and easy to use, WindCube Scan provides accurate forecasts, providing insight into several important atmospheric factors for increased situational awareness — notably, convective storm patterns and the boundary layer.
WindCube Scan offers full 3D scanning with ranges up to 14.7 km (depending on model), as well as multiple scanning patterns that make it ideal for many campaign types. A state-of-the-art structure detection algorithm detect, locates, and classifies clouds and aerosol layers — 24/7 in real time.
A non-disruptive, turnkey solution, WindCube Scan integrates easily with existing meteorological systems and sensor networks. Its compactness and ruggedness ensure reliable performance over a long service life.
Vaisala is home to many of the industry’s brightest scientists, creators, and innovators. For decades, our products, including WindCube Scan, have provided exceptionally long service lives, reduced consumption and waste, and helped airports and meteorological agencies increase safety and preparedness amid climate change. They reflect Vaisala’s philosophy of creating sustainable solutions, businesses, and communities.
Vaisala is ready to discuss your meteorological needs and help you build an ideal lidar solution or integration. Let’s talk.
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