Title:

Space Weather Center

Poster

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Abstract

The Space Weather Center project aims to process and visualize real-time space weather data to supportĀ researchers, scientists, and industry professionals. The project encompasses two satellite missions: the currently operational Deep Space Climate Observatory (DSCOVR), launched in 2015, and the upcoming Space Weather Follow-On at Lagrange 1 (SWFO-L1), set to launch in September 2025. The project focuses on developing a robust data pipeline for real-time solar wind predictions, leveraging NOAA and UNH resources to create accessible visualizations, and implementing machine learning-based forecasting models distributed through a Flask API. The SWFO-L1 satellite, equipped with a more advanced magnetometer, will eventually replace DSCOVR for solar wind monitoring. Our work involves processing real-time data from both satellites, ensuring compatibility between SWFO-L1 and existing DSCOVR-based predictions, and developing visualization tools for researchers. Looking ahead, efforts will focus on further optimizing machine learning model efficiency with upgraded hardware and expanding space weather prediction capabilities. By advancing real-time data processing and forecasting, the Space Weather Center will provide insights for scientific and industrial applications.

Authors

First Name Last Name
Mitch Tilton
Jonathan Ranger
Autumn Nippert
Andrew Martin
Kristopher Fierro-Marin

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Submission Details

Conference URC
Event Interdisciplinary Science and Engineering (ISE)
Department Computer Science (ISE)
Group Infrastructure
Added April 18, 2025, 9:48 p.m.
Updated April 18, 2025, 9:49 p.m.
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