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Lightning Warnings for Global Operations

Lightning Warnings for Global Operations
Managing global operations means that in addition to your daily responsibilities, you also have to manage weather impacts. Lightning and thunderstorms can develop quickly, and warning personnel and minimizing loss of revenue need to be addressed quickly.

In the "Lightning Warnings for Global Operations" webinar we discuss global lightning detection, and how a global lightning network can be used for warnings anywhere in the world, including remote areas. Global warnings are relevant for aviation, maritime, defense, mining, and other applications where keeping employees safe and assets protected are critical to your business.

This webinar covers:

  • A brief introduction to global lightning detection and Vaisala’s GLD360 dataset
  • Examples of global lightning detection during severe weather
  • How global lightning detection can be used in various warning applications, for locations anywhere in the world
  • Comparison of a standalone single-point lightning detection sensor or an electric field mill vs. a global network in a warning context (study results to be shared)
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​Ryan Said received his Master of Science and his Ph.D. in electrical engineering both from Stanford University. He was a postdoctoral fellow in the Very Low Frequency group at Stanford from 2009-2010, and was a research associate in the same group in 2011. Ryan is currently a research scientist and systems engineer with Vaisala, in the USA. He has responsibility for further improving the performance of Vaisala’s global lightning network, a product of a cooperative research project with Stanford University.

Ryan is the inventor of a patent on global lightning detection, and he has authored or co-authored over twenty peer-reviewed and conference papers relating to lightning detection and VLF remote sensing. Ryan is a member of the American Geophysical Union and his research interests include the study of VLF sub-ionospheric propagation, long-range lightning detection-and-geo-location, and VLF/ELF signal processing.

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