Seasonal and diurnal dynamics of radio noise for 8-20MHz poleward-oriented mid-latitude radars
O.I.Berngardt, J.-P.St.Maurice, J.M.Ruohoniemi, A.Marchaudon

TL;DR
This study models the seasonal and daily variations of radio noise in the 8-20MHz range for mid-latitude radars using ray tracing and ionospheric data, showing good agreement with observations and enhancing ionospheric monitoring capabilities.
Contribution
It introduces a comprehensive model combining ray tracing and ionospheric data to interpret radio noise dynamics and absorption, improving understanding of the lower ionosphere.
Findings
Model accurately reproduces observed noise variations.
Allows estimation of absorption in D- and E-layers.
Enhances interpretation of HF radar data for ionospheric studies.
Abstract
Based on ray tracing in a smooth ionosphere described by the IRI-2016 model we have infered the seasonal-diurnal dynamics of radio noise observed by four mid-latitude HF radars. In the calculations, noise is assumed to propagate from the radar dead zone boundary. Noise absorption along the ray path is simulated from the IRI-2016 electron density, and from the molecular nitrogen density and electron temperatures obtained from the NRLMSISE-00 model. Model results are compared with experimental radar data, and good agreement between the two is demonstrated. The model makes it possible to estimate the amount of absorption in D- and E- layers under average undisturbed conditions. This is important for the retrieval of long term variations in the electron density in the lower ionosphere. The model also makes it feasible to interpret vertical absorption in experimental data, thereby…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIonosphere and magnetosphere dynamics · GNSS positioning and interference · Earthquake Detection and Analysis
