↑ Compare forecasting tools for HF radio propagation

This page is part of the project "Understanding HF Propagation."
by Doron Tal, 4X4XM

Point-to-Point 24-hour forecast.

An excelent application courtesy of Andrew D Rodland, KC2G
This is an HF propagation planning—forecasting tool, similar to Proppy's Radcom Predictions. While prediction tools rely on "monthly average" ionospheric conditions, this planner makes a short-term forecast using real-time data.


Additionally, Andrew (KC2G) created the MUF300 map, which is an easy-to-use forecasting tool for monitoring online HF radio propagation in real-time.

MUF3000 map
Figure 1: Online MUF 3000 km Propagation Map, by Andrew, KC2G

The KC2G model does not account for geomagnetic storms and blackouts caused by elevated X-ray flares and/or proton ejections, the estimation's accuracy is insufficient for commercial radio service purposes. Read detailed explanations about these issues here.

There are several hundred ionosondes that can take measurements. The vast majority of these are concentrated in a few areas of the world, with large areas remaining unmonitored. As a result, that map is an interpolation. While the guessing process is fairly accurate in areas close to ionosondes, the uncertainty in areas far from any measurements is much higher. Only the numbers within the colored dots scattered across that map represent actual measured data.


Another tool to forecast band conditions is DXView.
This ia a real-time map of worldwide ham activity on ham bands designed by Jon Harder, NG0E.

DXview
Figure 2: Real-time Ham Band Activity

This map reviews ham band conditions across the globe, refreshing every 15 minutes. It tracks real-time activity on 11 bands ranging from 1.8 to 54 MHz. Data comes from trusted sources (DX Cluster, WSPRnet, RBN , etc.) that offer information on the signal-to-noise ratio (SNR) levels. The DXView website provides a guide on interpreting the map and selecting band colors.


The idea to predict HF propagation based on Ionospheric Monitoring and Prediction System has been described years ago. See for example this PDF.

The following applications can predict HF radio propagation (a few days in advance):

  1. VOACAP (Voice of America Coverage Analysis Program): This is a popular program for forecasting HF radio propagation for both point-to-point and area coverage. VOACAP uses historical solar and ionospheric data to predict the radio propagation over a specific path.
  2. ITU-R-HF-Prop: This is an ITU-R recommendation that provides a method to predict the performance of HF radio systems in a wide range of propagation conditions. The ITURHFProp software, written by G4FKH and HZ1JB, is based on the ITU-R P.533 method and uses a probabilistic approach to estimate radio coverage.
  3. SWPC - The NOAA Space Weather Prediction Center offers a variety of space weather services, including HF radio propagation forecast. The SWPC uses data from various sources, including ground-based and space-based observations, to predict the ionospheric conditions and their impact on HF radio propagation.
  4. SWS Forecasting Center - The Australian Government Bureau of Meteorology's Space Weather Services provides real-time and near-real-time information on the state of the ionosphere as well as predictions of ionospheric conditions. This service measures and monitors ionospheric parameters like electron density, electron temperature, and ionospheric irregularities using a combination of ground-based and satellite-based sensors. All of these can be used to predict HF radio propagation.

Each of these tools/services has advantages and disadvantages, and the tool selected will be based on the user's specific needs and requirements. It should be noted that none of these services can provide perfect predictions because radio propagation is affected by a number of variables that are difficult to predict completely.

Read more about forecasting and predictions for HF radio propagation.


The project "Understanding HF Propagation" focuses on near-real-time indicators and explains what they mean.

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