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33 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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simulations

You will need to install PHaRLaP from https://www.dst.defence.gov.au/opportunity/pharlap-provision-high-frequency-raytracing-laboratory-propagation-studies Install nc_utils from https://github.com/alexchartier/nc_utils Install ionogram_classifier from https://github.com/alexchartier/ionogram_classifier

WSPR validation download the WSPR data from https://www.wsprnet.org/drupal/wsprnet/spots, then run_sami_raytracing.py

GPS position validation Install the Madrigal globalDownload.py, then gps_pos_val.py [this will fail due to lack of files the first time, but give instructions on how to get them] gps_utils.py will generate a sitelist from the Madrigal HDF5 file Then run gps_pos_val.py when you have the necessary HDF5 and Madrigal files

Ionosonde validation ionosonde_val.py

Note you will need to install various Python dependencies, as well as the PHaRLAP and m_map packages referenced in startup.m

Ionosonde sites used to generate the classifier:

Site Lat Lon

AL945 45.1 276.4 AT135 38.0 23.5 BC840 40.0 254.7 CAJ25 -22.7 315.0 RL055 51.5 359.4 CO765 64.9 212.0 DB049 50.1 4.6 EA655 37.1 353.3 EI764 64.7 212.9 TR169 69.6 19.2 MO155 55.5 37.3 FF055 51.7 358.5 FZA05 -3.9 321.6 GA762 62.4 215.0 GR135 -33.3 26.5 IC435 37.1 127.5 IF843 43.8 247.3 JI915 -12.0 283.2 JR055 54.6 13.4 MH453 52.0 122.5 MHJ45 52.0 122.5 NDA81 81.4 342.5 PF765 65.1 212.6 PSJ55 -51.6 302.1 PQ055 50.0 14.6 PRJ18 18.5 292.9 RO045 41.9 12.5 EB045 40.8 0.5 SMJ65 67.0 309.1 SMK25 67.0 309.1 THJ75 77.5 290.8 THJ75 77.5 290.8 WP937 37.9 284.5

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