Background Info/Purpose Mapping Satellite Movement and Remote Measurement Locations Ujwal Kiran Mentor: Brian Harding Leading Inquiry Find where and when MIGHTI takes ionospheric measurements, and how they line up with each other and the earth. Role in the Solution I was able to: Convert the stored orbital data to latitude-longitude-altitude (LLA) coordinates, and plot it on a map Calculate the placement of the two MIGHTI vectors, and convert that into LLA coordinates for each time step Compare each position of the first sensor to the closest second sensor position, and find the difference in distance and magnitude between the two Compile and map all of this data into a format that is easy to visualize Background Info/Purpose The ionosphere is the area 90-300 km above the surface, and is influenced by space weather ICON is a satellite taking ionospheric measurements MIGHTI is the instrument specifically taking wind vector measurements Each of the two MIGHTI sensors makes a measurement at different angles to the satellite These two measurements then need to be paired on the earth and interpolated Skills and Knowledge I learned: To effectively use Python for the purpose of numerical simulation The different methods of mapping coordinates in space, and how to switch between them The mathematics behind linear transformation and coordinate manipulation The skills to create my own proposals and posters for more research in the future Airglow emission over the earth Map of MIGHTI and ICON in relation to the Earth Comparison of MIGHTI positions over time Measurement position of MIGHTI sensors Position of ICON Accuracy of lineup of the MIGHTI vectors MIGHTI 1 position MIGHTI 2 position Position of ICON Acknowledgement I would like to thank my mentor, Brian Harding, and adviser, Jonathan Makela for helping me with my research investigation and teaching me the skills I needed to pursue this project. References https://icon.ssl.berkeley.edu/