It is well-documented that there are approximately 24,000 worldwide fatalities from lightning each year, with about 10 times more being injured from lightning (NIH-NCBI). In addition, lightning strikes are one of the leading causes of wildfire ignition. During storms, lightning strikes on trees, utility poles, and infrastructure, can damage power lines resulting in power outages. Lightning flashes also generate electromagnetic fields (Sferics) that interfere with electrical devices on ground. As the intensity and frequency of extreme weather events are likely to increase due to climate change impacts, lightning activity will likely increase as well, causing more power outages, increased risks of wildfire ignition, and increased numbers of injuries and fatalities. Therefore, information about lightning activity is critical for better preparedness against these disasters. This three-part, introductory training focuses on global and regional lightning data products that can be applied to disaster risk preparedness.

Learning Objectives: 

By the end of this training attendees will be able to:

• Identify common lightning causes, patterns, and potential for causing damage
• Identify how space- and ground-based lightning observations are used to monitor lightning frequency and intensity
• Identify resources for accessing lightning data products

Course Dates: March 26, 28, and April 2, 2024

Time: 11:00 -12:30 or 2:00-3:30 EDT (UTC-4); There will be identical sessions at two different times of the day. Participants need only to register and attend one daily session.

To Register: https://go.nasa.gov/3w05m72

Audience: This training is primarily intended for remote sensing scientists, geospatial analysts, managers from local, state, and federal government, power companies, fire responders, geospatial analysts, academic faculty and students, and other practitioners in the field of remote sensing.

Relevant UN Sustainable Development Goals:

• Goal 13: Take urgent action to combat climate change and its impacts

Course Format: Three 1.5-hour parts including Q&A.

Retweet option:  https://x.com/NASAARSET/status/1758120682368512193?s=20