Dataset for A Statistical Survey of F2 Layer Peak Properties in the Polar Cap Ionosphere Observed by RISR-N

This archive contains the dataset for the publication "A Statistical Survey of F2 Layer Peak Properties in the Polar Cap Ionosphere Observed by RISR-N." This archive will provide a general guide to run the code and reproduce 1. The Figures from this associated publication, 2. The processed RISR-N files with our fitting algorithm applied, and 3. The subgroups of lifted, dense, and both events from our processed RISR-N files. Table of Contents: 1. Fitted_ISR_Data.zip - All console output from processing scripts - Each RISR-N experiments fitted counterpart 2. Ionosphere_Models.zip - Proxy-AE (Directory) : Interpolated AE measurements from ELFIN database beyond 2020 - All console output from processing scripts - All geophysical indicies from NASA OMNI database interpolated to line up with RISR-N time steps in models-*.h5 - All empirical model estimates from IRI and E-CHAIM aligned with RISR-N time steps in models-*.h5 file. 3. Proxy_AE.zip - Proxy AE measurements in .csv form from Elfin database. 4. FittingScript.py : - Python script that fits each time step of each RISR-N experiment. 5. FittingShellScript.sh : - Shell Script that batches all RISR-N experiments by year to speed up computation. 6. ModelScript.py : - Python script that gathers NASA OMNI geophysical conditions and empirical model outputs. 7. ModelShellScript.sh : - Shell script that batches the ModelScript.py script. 8. AE_Interpolating.ipynb - The notebook that interpolates and creates the Proxy\_AE directory in the Ionosphere\_Model. 9. DataCoverageFigures.ipynb - Creates the DataCoverage figure. 10. Lifting_Detection_Code.ipynb - The notebook that steps through all of the processed RISR-N experiments and applies detection code. - This creates the Both/Dense/Lifted\_Events.h5 files. 11. Making_Figures_20250716.ipynb - Makes all of the figures for the paper from the Lifted/Dense/Both\_Events.h5 files. 12. io_utils3.py - Same as the io\_utils3.py as the directory above. 13. work_utls.py - A post-processing script that opens the HDF5 to unwrap the processed files and model files into a dictionary to produce the figures.14. utilities.py : - Python script that includes the timeslice class structure. 15. Lifted_events.h5 : - HDF5 file of all identified lifted events. 16. Dense_Events.h5 : - HDF5 file of all identified dense events. 17. Both_Events.h5 : - HDF5 file of all identified both events.