This talk will cover undergraduate student contributions to SWx research—as done within the SWx TREC's DLL—as well as delving into the need for technical workforce development (including methods leveraged by the DLL for undergraduate professional development resources).
In recent years, machine learning (ML) techniques have become a promising and effective tool to predict ionospheric total electron content (TEC) and irregularities. This seminar presents an image-based convolutional long short-term memory (convLSTM) ML algorithm to predict global TEC and storm-time high-latitude rate of TEC index (ROTI) maps.
This seminar takes listeners through an overview of student solar flare prediction research done within the SWx TREC Deep Learning Laboratory (DLL). Attendees will also be informed on the DLL's hardware, and availability to those interested in leveraging that.
SWx TREC and CCAR aerospace engineering graduate students have found a useful purpose for space debris—art. They created an exhibit as part of the ˛ĘĂń±¦µä’s 2021 Art + Science + Action Cohort program. “Waste in Space,” showcases space junk donated by local labs and glass pieces made by workshop participants. It is on display at the Arbor Institute through December 12, 2021.
Space Weather Applications of Machine Intelligence (SWAMI) Seminar Series Hosted by: Space Weather Technology, Research, and Engineering Center Presented by: Ryan McGranaghan, ASTRA, LLC, Louisville, Colorado Friday 19 March 2021, 10:00am – 11:00pm (MDT) https://cuboulder.zoom.us/j/98581049160 The connection between the Sun and the Earth is a complex one, involving interactions and...
