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Real-time propagation conditions by HF Activity Group🗗
The bar above represents the global HF conditions in the 17m to 10m bands, with values ranging from 0 to 100. It updates every 5 minutes based on key propagation indices.The HF score graph below illustrates fluctuations over time, reflecting varying levels of solar activity and geomagnetic activity. Peaks indicate favorable propagation conditions, while dips signify less optimal conditions. The red line provides a 48-hour trend for reference.
Graph is based on data from NOAA SWPC🗗, NASA GOES🗗.
What is Radio? — Radio is a type of electromagnetic (EM) energy that propagates as waves.
What is an electromagnetic (EM) wave?
An electromagnetic (EM) wave🗗 is a disturbance in electric field🗗 and magnetic field🗗 that may propagate through space at the speed of light (~3×10⁸ m/s in a vacuum). These waves are generated by accelerating charges or high-frequency currents and carry energy across distances.
Figure 1.1: Electromagnetic Wave
Figure 1.2: A wave characterized by frequency🗗 and wavelength🗗
Frequency (f): Cycles per second (Hertz). Wavelength (λ): Distance between successive wave crests. Formula: c = f*λ, where c is light speed.
Radio signals, a type of electromagnetic radiation, typically travel in straight lines. Long-distance communication relies on waves reaching beyond the horizon. While non-linear propagation may seem complex, it can be understood with basic knowledge of electromagnetic principles, Earth's atmospheric regions, and solar-terrestrial interactions.
The key difference between Radio and Light is that light waves are more easily affected by obstacles and atmospheric conditions due to their shorter wavelength.
Interference🗗: Waves superpose to form a wave with different amplitudes, causing constructive or destructive interference.
Polarization🗗: The orientation of the electric field of the wave, which can be linear, circular, or elliptical.
Power Density🗗: The amount of power transmitted per unit area, typically measured in watts per square meter (W/m²).
Ray🗗: The direction of wave propagation, often conceptualized as a line along which the energy of the wave travels.
Signal-to-Noise Ratio (SNR)🗗: A measure comparing the level of a desired signal to the level of background noise, expressed in decibels (dB). A higher SNR indicates a clearer and more distinguishable signal from the noise.
Reflection🗗: Waves bounce off a surface, where the angle of incidence equals the angle of reflection.
Refraction🗗: Waves bend as they pass from one medium to another due to a change in wave speed, governed by Snell's law.
Scattering🗗: Waves spread out in different directions due to interaction with particles or rough surfaces, leading to the diffusion of the incident wave.
Spectrum🗗: The range of frequencies or wavelengths of electromagnetic waves, from radio waves to gamma rays.
Standing wave🗗: A wave that oscillates in time but whose peak amplitude profile does not move in space.
Wave interference🗗: Combine coherent waves by adding their intensities or displacements, considering their phase difference.
Wavefront🗗: A surface of constant phase of the wave, which can be thought of as the leading edge of the wave moving through space.
Wavelength🗗: The distance between consecutive peaks of a wave.
The electromagnetic spectrum🗗: Radio waves are a subset of the electromagnetic spectrum that has unique applications based on frequency and wavelength. The following Figure 1.5 moves from long to short wavelengths, with radio waves on the left side.
Figure 1.5: The electromagnetic spectrum
The radio spectrum🗗 shown below in Figure 1.6 goes from low to high frequency (long to short wavelength).
Figure 1.6: The radio spectrum divided into 11 bands, from 3 Hz to 3 THz.
Between 1965 and 2020, satellite system issues—high costs, outages, and complex infrastructure—revived interest in HF radio. Advances like digital voice🗗, automatic link establishment (ALE)🗗, and spread-spectrum🗗 have improved skywave reliability and affordability, making it popular again for long-distance and emergency communications.
Advantages of Skywave over Satellites:
Remote Reach: Skywave covers areas without satellite access.
Infrastructure-Free: No infrastructure needed; ideal for emergencies.
Geomagnetic indices measure Earth's magnetic activity; higher values of A and K typically indicate propagation disturbances.
The following chapters discuss all of these concepts. Click on the links above to read about each of the variables affecting HF propagation.
Chapter 2. Monitoring HF Band Activity
Ham radio activity is a reliable indicator of current band conditions. Previously, manually scanning ham bands with analog receivers was time-consuming. Today, advanced tools enable efficient global assessment of various HF bands. By combining multiple methods and tools, you can enhance your understanding of the basics of HF band propagation conditions and ensure a more accurate assessment. The following table summarizes the proposed methods, applications and tools.
Table 2.1: Tools and Applications for Monitoring HF Band Conditions
Social Media and Forums: operators share current band conditions and experiences.
2.1 Real-time ham band activity using the internet🗗
Tools like DXView and DXMAPS provide real-time visualizations of HF activity. DX clusters focuse on general band openings, while DXMAPS emphasizes specific QSOs and contests.
The DXView map (Figure 2.1 below) shows real-time ham band activity. This visual aid helps identify open bands and communication modes🗗.
Figure 2.1: Real-time Ham Band Activity
The DXView map helps identify open bands and communication modes🗗 based on real-time activity from the last 15 minutes. It compiles data from online sources: WSPRnet, RBN🗗 (CW, FT4, FT8), and DX Cluster. Signal-to-Noise Ratio (SNR)🗗 data determines if a path supports SSB (SNR > 10 dB), CW (SNR > -1 dB), or only digital modes (decoding down to about -28 dB SNR). The DXView website provides a guide on interpreting the map and selecting band colors.
While DXView focuses on band openings, the next tool (DXMAPS) focuses on specific contacts, allows users to add their info, visualize propagation paths, and analyze contest performance.
DXMAPS provides real-time charts of reported QSOs (contacts) and SWLs (shortwave listeners) across amateur bands. Visualized propagation paths may help users analyze band conditions and contest performance effectively. Registered users can send formatted DX-Spots for easier identification. Propagation mode identification is available for high bands, above 28 MHz.
Figure 2.2: QSO/SWL real time information
2.1.3 DX Clusters🗗 are worldwide networked servers that collect messages from active radio amateurs🗗 and distribute them to all connected participants. Active radio amateurs or shortwave listeners use DX clusters to get timely information about activities on the amateur radio bands.
Figure 2.3: An illustration of DX Clusters by DALL-E AI Image Generator
Analysis of multiple DX cluster messages can be used as an indicator of propagation conditions and how they are changing. However, it’s not a perfect predictor, and local factors matter.
WSPR🗗 (Weak Signal Propagation Reporter) is used to test propagation paths on the ham bands.
The following are useful links:
WSPRnet,
WSPR Rocks,
WSPR Live.
Listening to the NCDXF Beacon Network is beneficial for DX station hunting.
Eighteen worldwide beacons operate on five bands: 20, 17, 15, 12, and 10 meters.
Figure 2.6: NCDXF beacons map—These stations use standardized antennas and power levels.
The above is a map of the NCDXF Beacon Network, which operates on the frequencies: 14.100, 18.110, 21.150, 24.930, and 28.200 MHz. Receiving readable signals on these frequencies can indicate open bands.
Beacon IDs are callsigns in CW, followed by a carrier decreasing in four power levels: 100, 10, 1, and 0.1 Watts. If you can hear the weakest 0.1 Watts signal, it suggests good propagation or a low-noise location. The NCDXF website provides further details for operators.
Tune between 28.2 and 28.3 MHz for additional beacons operating full time.
2.4 Use various antennas at your station to assess HF propagation conditions
This activity requires hands-on experience and a basic understanding.
Using different antennas at your station helps assess HF propagation conditions by comparing received signal levels and signal-to-noise ratios. Switch between dipoles, verticals, and loop antennas to receive signals from beacons.
Observe variations in signal strength and clarity:
Monitor signal strength from various distant stations on different bands using different antennas (e.g., dipole, vertical, loop).
Compare reception: Note variations in signal strength across different antennas and bands.
Analyze signal quality: Observe signal quality (e.g., fading, noise levels) for each antenna.
Cross-reference data: Compare your observations with online propagation predictions and real-time propagation information.
Example:
If you consistently receive strong signals from Europe on 20 meters with a vertical antenna, but weak signals with a dipole, it might indicate favorable vertical wave propagation conditions. Conversely, if 40 meters performs better with the dipole, it could suggest better horizontal wave propagation on that band.
By systematically observing these factors, you can gain valuable insights into current HF propagation conditions and optimize your antenna choices for specific bands and destinations.
2.5 Monitor bands using remote receivers, WebSDR, and Kiwi SDR🗗
WebSDR and Kiwi SDR offer online access to remote receivers. These platforms allow users to monitor global HF signals without local equipment. Both support multiple users and offer real-time spectrum and waterfall visualization. However, their user interfaces and functionalities differ, with each platform having unique advantages to suit various needs and preferences. The following example demonstrates the Wideband WebSDR at the University of Twente, Enschede, NL🗗. The visual spectrum and waterfall display enable users to monitor and analyze signals from remote locations.
Figure 2.7: Real-time waterfall display for a wide radio spectrum, frequency range of 0-29 MHz, with the ability to resize the width down to 250 KHz.
Alternatively, choose a remote receiver from the following maps🗗:
Figure 2.8: WebSDR Global Map showing locations worldwide
Users can select a receiver to remotely monitor HF signals, access live waterfall displays, and tune into specific bands.
Figure 2.9: Global map of Kiwi SDR receivers showing locations worldwide
Users can select stations to explore propagation conditions and compare band activity at different geographic locations.
Chapter 3. HF Propagation Conditions: Forecasting and Prediction
HF propagation forecasting enables operators to select optimal frequencies and plan communication times. Key metrics such as foF2 and MUF provide real-time insights into ionospheric conditions, essential for long-distance communication.
Evolution of Forecasting Techniques
Remarkable advancements in space technology🗗, software-defined radio (SDR)🗗, and the internet have revolutionized our understanding of radio wave propagation. Before the 1990s, propagation charts and reports were often published in amateur radio magazines. Today, real-time solar indices and computer programs provide accurate, up-to-the-minute propagation data via online tools🗗.
How to determine HF propagation conditions
The MUF🗗, based on ionograms🗗, plays a key role in determining HF propagation conditions.
Forecasting vs. Prediction
The terms forecasting and prediction differ primarily in their time frames and methodologies.
Forecasting: Short-term estimations based on current data (e.g., "Conditions will improve in the next hour").
Prediction: Long-term estimates based on trends (e.g., "Better 40-meter conditions expected next month").
Line of Sight exists when radio signals pass directly between two stations with no obstacles in between. This mode works well for short-range transmission at higher frequencies, often within a few kilometers of the visual horizon. Signals cannot follow the curvature of the globe.
Non-LOS propagation🗗 occurs if obstacles exist; radio waves may reflect off conductive surfaces like buildings or mountains.
2. Ground wave🗗 or surface wave propagation: Effective below 2 MHz; influenced by terrain and conductivity.
AM radio stations use ground wave propagation during the day.
Vertically polarized surface waves travel parallel to the Earth's surface and can cross the horizon.
Geologic features and RF absorption by the earth attenuate ground wave transmission.
Ground waves are effective below 1 MHz over salty seawater or conductive ground but are ineffective above 2 MHz.
Among these modes, skywave propagation is the most versatile for HF bands. The upcoming chapters detail the factors affecting skywaves.
Chapter 5. How does the sun affect radio communications?
The sun affects how radio waves travel. Figure 5.1 illustrates the Solar EUV radiation ionizes atoms in the upper atmosphere, creating the ionosphere—a dynamic plasma region @@@ that enables HF skywave communication.
Figure 5.1: An illustration of ionosphere generation and its effect on radio waves
Knowing a bit about solar activity can help radio amateurs make better use of these effects to improve their experience or solve problems.
Video clip: The dance of radio waves within a vibrant airglow. Solar storms intensify the ionosphere's beauty, while Earth's weather below adds to the unique destination.
"Ionospheric clouds" move at different speeds and directions, with irregularities in conductivity.
The ionosphere is a series of regions in the upper atmosphere
Figure 6.1: The Ionosphere (Thermosphere) is part Earth's Atmosphere
The Thermosphere is characterized by very high temperatures ranging from 550 to over 1300 degrees Kelvin, due to the solar EUV.
What is the cause of the high temperatures? —Solar radiation ionizes the ionosphere, resulting in free electrons, as illustrated here.
Figure 6.2: Ionization of atoms or molecules generates free electrons
HF radio waves transmitted from Earth to the ionosphere cause these free electrons to oscillate and re-radiate, resulting in wave refractions🗗.
The ionospheric refractive index🗗 is analogous to that in geometrical optics🗗. Figure 6.3 illustrates light refraction in a glass prism.
Figure 6.3: A prism bends shorter wavelengths more; this is an optical dispersion due to refraction🗗.
A prism bends blue light more than red, creating a rainbow. Glass prisms have a higher refractive index for blue light than red (typically 1.5–1.8). In contrast, ionospheric plasma has a refractive index slightly less than one and bends low HF bands (3–10 MHz) more than high HF bands, as shown in Figure 6.4.
Figure 6.4: The ionosphere bends lower frequencies more; this is radio wave dispersion.
The next chapter extends the explanations on the ionospheric regions and their role in skywave HF propagation.
It’s common to present the order of ionosphere regions affecting HF skywaves from the highest region downwards, as follows:
The F region, located between 150 and 800 km above the Earth, enables long-distance HF communication in the 3.5 to 30 MHz bands.
This region consists of ionized🗗 hydrogen (H+) and helium (He++) with the highest free-electron density up to 1012 electrons per cubic meter excited by the 10–100 nano-meter EUV🗗. It splits during the day into two sub-regions, F1 and F2, which merge and slowly dissipate after sunset.
The E region, located between 90 and 150 km above the Earth, dissipates a couple of hours after sunset.
This region consists of ions such as O2+, O+ up to 1011 electrons per cubic meter excited by the 1–10 nano-meter EUV🗗 solar radiation. During intense Sporadic E(Es)🗗 events (particularly near the equator) it sporadically reflects frequencies in the 50-144 MHz bands.
The D region, located 50–90 km above ground, is active during daytime and dissipates at sunset.
In this region, UVC🗗 at 121.6 nm excites nitric oxide ions (NO+), up to 1010 electrons per cubic meter. This causes radio frequencies to be absorbed and blocked during daylight hours, preventing frequencies lower than the lowest usable frequency (LUF) from reaching higher E and F regions (Figure 7.9).
Moreover, chaotic solar flare bursts🗗 (X-rays with wavelengths of 0.1–1 nm) significantly enhance ionization in this region, causing blackouts that can last from minutes to hours.
The F, E, and D regions differ in gas composition and free electron density. These regions are conceptual rather than rigidly defined. Sometimes there are plasma clouds🗗 rich in free electrons. The average electron density affects the critical frequency of each region. Their characteristics change daily, seasonally, and throughout the solar cycle.
Figure 7.2 Typical Distributions of Free Electrons in the Ionosphere
The above graph is based on a review from U.C.Berkeley by Bob Brown Ph.D, NM7M (SK)🗗
Why does the density of free electrons increase sharply with height between 50 km and 250 km?
The density of free electrons results from a balance between ionization🗗 (due to solar EUV) and recombination🗗 (ion-electron recombination events). The F region gets most of the UV radiation compared to the lower E and D regions, while the rate of electron-ion recombination is much faster in the lowest D region (due to the higher gas density). As a result, the free-electron density of the high-set F region (at noon) is significantly higher than that of the E and D regions. At most, only one thousandth (1/1000) of the neutral atmosphere is ionized.🗗
7.2 Long and Mid-Range Skywave
Figure 7.3 shows skywave refractions from the F and E ionospheric regions.
Figure 7.3: Multi refractions of radio waves in the ionosphere.
The F region refracts HF (3-30 MHz); Figure 6.4 illustrates the difference between low and high HF bands refraction. The E region sporadically refracts low VHF (50-150 MHz).
Long-range skywave propagation typically employs low transmission angles that correspond to high incident angles.
Figure 7.4: Transmission angle (α) and incident angle (θ)
A low transmission angle, which means the transmitted beam is nearly horizontal, enables refractions at higher frequencies and over longer distances. However, using real antennas at frequencies below 30 MHz to achieve low-angle radiation of less than 5 degrees can be extremely challenging.
7.3 Skywave Multi-refractions
The ionosphere🗗 refracts skywaves🗗 in complex multiple modes
Figure 7.5: Complex skywave modes:
F Skip / 1F1E, E-F Ducted, F Chordal, E-F occasional and sporadic E🗗.
This figure extends Fig.2.4 of ASWFC🗗.
The diagram illustrates various modes of radio wave propagation in the ionosphere, such as ionospheric tilt, chordal mode, ducted mode, sporadic E, F skip, 1F1E, and 1F1Es1F. It emphasizes how radio waves interact with the E and F regions, depicting their travel paths across long distances.
The refraction of radio waves in the ionosphere is characterized by their critical frequency🗗. This is the highest frequency at which radio waves refract back to Earth. Higher frequencies escape into space.
The terms (frequencies) foF2, MUF, OWF, and LUF serve as indicators for HF radio propagation conditions🗗.
7.4.1 The Critical Frequency🗗 (foF2) is the highest frequency below which a radio wave is refracted by the F2-region at vertical incidence, independent of transmitting power.
Figure 7.6: Vertical refraction from F2 region
The critical frequency is dependent on the density of the free-electrons: where fc is the critical frequency and Nmax is the free electron density.
If the transmitted frequency is higher than the plasma frequency of the ionosphere, then the electrons cannot respond fast enough, and they are not able to re-radiate the signal.
Ionosondes🗗 determine the critical frequency, which varies significantly based on location and time.
Statistically, between 2005 and 2007, the global average critical frequency (foF2) varied from 1.8 MHz to 11 MHz, with an average of 7.5 MHz.
Day vs. Night and Geographical Locations: The critical frequency varies with latitude and the day due to increased ionization from solar radiation🗗. At night, the MUF decreases.
The graph below shows how the critical frequency varies with latitude during the day and night.
Figure 7.7: Noon & Midnight foF2 vs. Geographic Latitude, based on Australian Space Weather Service publication.
Day Hemisphere: The red curve (F2 region) peaks around 18 degrees latitude, forming an "equatorial anomaly." The blue curve (E region) remains relatively flat.
Night Hemisphere: The red curve shows a "mid-latitude trough" around 60 degrees latitude. Gradually growing towards the equator. The E region dissipates at night.
Seasonal Variations: The critical frquency is higher in summer due to the sun being directly overhead and lower in winter.
Solar Activity: High solar activity can increase the MUF by enhancing ionospheric ionization.
Geophysical conditions: Factors such as geomagnetic activity and atmospheric tides can also have an impact.
7.4.2 The Maximum Usable Frequency (MUF)🗗, synonym: Highest Possible Frequency (HPF), is a fascinating concept in skywave propagation—an indicator for forecasting propagation conditions. It is the highest frequency you can use to send radio signals successfully. The MUF depends on the angle at which those signals are transmitted but is independent of the transmitting power.
LUF, also known as the absorption-limited frequency (ALF), is a soft frequency limit, unlike the sharp cut-off of the MUF.
The D region absorbs frequencies below the LUF during the day. At night, the D region does not exist, so there is no low-frequency limit.
NVIS provides the solution for the dead zone (between ground wave and skip). It is the only solution for communication coverage in hilly and/or jungle areas over short distances of a few hundred kilometers.
Figure 7.10: How NVIS provides communications within a hilly area.
Typical operating frequencies are 2-4 MHz at night and 4-8 MHz during day.
NVIS requires suitable antennas (like a low dipole at hight of 0.1-0.25 wavelengths) to improve vertical radiation and reduce lower-angle radiation, contrary to what is customary for long-range communication.
NVIS offers enhanced resistance to fading (constant signal level), and minimal attenuation, making it suitable for low transmit power levels and omnidirectional coverage, allowing flexibility in setup and placement.
To avoid skip zones on 40 m band use NVIS when f0F2 is higher than 8.5 MHz. Switch to 80 m if the day is on the downward slope. Optimize antenna radiation pattern for the desired takeoff angle. Optimum NVIS height for horizontal dipoles: 0.18–0.22λ for TX and 0.16λ for RX🗗.
The "gray line" (US English) is the twilight zone around the Earth separating daylight from darkness. Propagation along this zone is highly efficient because the D region, which absorbs HF signals during the day, vanishes quickly on the sunset side and hasn't formed yet on the sunrise side. Ham radio operators and shortwave listeners can optimize long-distance communications by tracking this twilight zone.
Figure 7.11: Ionospheric Regions and Gray Line
The height of the F and D regions🗗 is exaggerated in comparison to Earth dimensions.
Figure 7.12: Online gray line chart For more information click on the map.
Some radio operators use specialized gray line map🗗 to predict when the gray line will pass over their location, as well as the best frequencies and modes of propagation to apply at that time. Overall, gray line propagation is a fascinating and useful phenomenon that has the potential to open up exciting opportunities for long-distance radio communication.
The following supplementary information is not crucial for understanding skywave propagation.
The ionospheric physical conditions are: temperature distribution, free electron density, pressure, density, gas compositions, chemical reactions, and transport phenomena (horizontal and vertical winds), as illustrated below.
Figure 7.13: Ionospheric physical conditions
Shown on the left figure:
Temperatures distribution due to low or high solar flux
Free electron density
Ionic compositions.
Not shown on the left figure:
Gas pressure and density
Gas compositions
Chemical reactions
Winds: horizontal and vertical
The dynamics in the D region correspond to chemical reactions between the ions O+, N+, and NO+ with N2, O2, and NO.
Nutshell: This chapter examines ionospheric regions, distributions of free electrons, critical frequencies, and specific propagation modes. The following chapter discusses regional, diurnal, and seasonal propagation conditions, including online real-time charts.
The ionosonde, also known as the chirpsounder🗗 (developed in 1925), is an HF radar that sends short pulses of radio waves into the ionosphere to find the most optimal frequencies for HF communication. It calculates the time it takes for pulses to return and then plots the height (derived from the time delay) versus frequencies to produce an ionogram🗗. An ionosonde sweeps the HF spectrum from 2 to 30 MHz, raising the transmitted frequency (Tx) by about 100 kHz per second and digitally modulating it in 25 kHz increments. Matching receivers (Rx) detect and analyze echo signals, as seen in the next figure.
Figure 8.1: Basic ionosonde types are vertical and oblique sounding
Every 15 minutes, ionosonde stations around the world report real-time data via the internet.
Figure 8.2: Global map of Giro digisondes as of 2017🗗
Some stations aren't always active. Since 2021, real-time ionosonde data sharing has reduced in countries such as Russia, China, Japan, and others. Thus, significant regions of the globe are not yet covered with ionosonde stations, as shown on the above map.
An ionogram is a visual representation of the height of the ionospheric refraction of a specific HF radio frequency. It shows the plasma density distribution in ionospheric regions at various altitudes (48–800 km).
Ionograms typically display two key elements:
Horizontal Lines: These lines indicate the virtual height at which an amplitude-modulated pulse is echoed, varying with the operating frequency.
The ionogram above illustrates the ionospheric E and F2 regions. The red curve shows ordinary refraction, and the green curve shows extraordinary refraction, due to the ionosphere's anisotropic nature causing double refractions (birefringence)🗗.
While this provides a simplified explanation, the reality is that the ionosphere is neither uniform nor stable, perpetually changing over time. Consequently, researchers developed the Digisonde Directogram to identify ionospheric plasma irregularities.
8.3 Day-night: Regular diurnal cycle
The diurnal cycle on Earth occurs every 24 hours, with the sun affecting ionosphere characteristics. The figures below illustrate typical diurnal cycle: The E and F regions have larger electron densities during daylight, while the D region disappears at night. The MUF and LUF rise with the sun and diminish after sunset.
Figure 8.4: Diurnal cycle of ionospheric regions
Figure 8.5: Typical diurnal cycle based on NPS training materials🗗
FMUF: F region maximum usable frequency OWF: optimum working frequency EMUF: E region maximum usable frequency LUF:
The lowest usable frequency is due to D-region absorption, which limits the window of useful frequencies ↕
Seasonal variations Intensified solar EUV (Extreme Ultraviolet) radiation🗗 leads to higher free-electron densities, especially during the summer months and more intensely near the equator compared to the poles.
Figure 8.6: Ionospheric region dynamics at mid-latitudes
As a result, HF propagation conditions on the bands above 10 MHz are better in the summer and closer to the equator, whereas propagation conditions on the bands below 10 MHz are better in the winter and at mid-latitudes (30° to 60°).
Summer anomalies Summer anomalies can cause plasma irregularities in the ionosphere's mid-latitude F region in both hemispheres. Seasonal changes significantly impact ionization, with summer frequently bringing instabilities known as mid-latitude spread-F🗗 due to increased solar radiation. The Arecibo Radio Observatory in Puerto Rico observed anomalous electron density irregularities during such an event, extending above the ionosphere's stable topside, as shown in the following figure:
Figure 8.7: Electron density anomaly at mid-latitudes🗗
The top figure shows both the E and F regions on the same scale and the bottom figure shows E region in an expanded scale
MUF 3000 km map: HF propagation conditions at a glance updated every 15 minutes; Provided by KC2G There is also an animated version showing the last 24 hours.
The colored regions of this map, defined by iso-frequency contours, illustrate the Maximum Usable Frequency🗗 expected to refract off the ionosphere🗗 along a 3000 km path. The map also includes the position of gray line.
The ham bands are designated by iso-frequency contours: 5.3, 7, 10.1, 14, 18, 21, 24.8, and 28 Mhz.
For example, if a given area on the map is greenish and lies between the contours labeled "10" and "14," the MUF in that location is around 12 MHz.
The raw data is MUF calculated from data collected by ionosondes, which are represented by numbered colored discs that show their location. A number inside a disc indicates the calculated 3000km MUF from the critical ionospheric frequency🗗, foF2. The information from selected stations is compiled by Mirrion 2🗗 and GIRO🗗, and processed by the International Reference Ionosphere (IRI) model🗗 (produced by a joint task group of COSPAR🗗 and URSI🗗.
The MUF along a path between any two locations shows the possibility of long-hop DX between those points on a given band. For example, if the MUF is 12MHz, then 30 meters band and longer will work, but 20 meters band and shorter won't. For long multi-hop paths, the worst MUF anywhere on the path is what matters. For single-hop paths shorter than 3000 km, the usable frequency will be less than the indicated MUF. As one gets closer to vertical, i.e., NVIS🗗, the usable frequency drops to the Critical ionospheric frequency🗗, (foF2, as shown in the next map).
Notes:
The accuracy of the data is insufficient for commercial radio services due to several factors:
Uncertainty in predicting ionospheric state:
Vertical sounding data introduces uncertainty when predicting the ionosphere's state.
The limited coverage of monitoring radio stations results in reliance on data processing.
Challenges of data interpolation and extrapolation🗗:
The algorithm attempts to determine the MUF (or foF2) at scattered points globally.
Accuracy is compromised when extrapolating from sparse data points.
Predictions are more reliable near measurement stations but deteriorate for distant regions.
Issues with measurement stations:
Inconsistent or conflicting data from stations may lead to unusual results when aligning measurements.
Unexpected global model changes may occur due to stations going offline or reappearing, compounded by the limited initial data points.
Restricted sharing of real-time data:
Since 2021, real-time ionosonde data sharing has reduced in countries such as Russia, China, Japan, and others.
Some ionosondes are accessible solely via NOAA, and GIRO outages could cause map updates to cease.
Events such as geomagnetic storms, elevated X-ray flares, and solar wind significantly affect the accuracy of MUF estimations derived from vertical sounding data.
While these disturbances are implicitly reflected in ionogram results, predicting band conditions remains challenging.
The propagation model is overly simplistic. It does not capture all the variables, such as blackouts due to D-region absorption and noise induced by geomagnetic storms.
Future Development: Efforts are underway to develop geospace dynamic models to mitigate these challenges.
The "MUF(3000km)" project is the result of research and development by Andrew D Rodland - KC2G, which is based on an earlier work by Matt Smith - AF7TI. WWROF financing and data from ionosonde operators all over the world, provided by GIRO🗗 and NOAA🗗 made it feasible.
Figure 8.10: Animated MUF 3000 km propagation map in the last 24 hours courtesy of Roland Gafner, HB9VQQ
NVIS online live map for vertical refraction (critical frequency foF2)
provided by Andrew D Rodland, KC2Gupdated every 15 minutes
Figure 8.11: Online NVIS Map, by Andrew, KC2G
The map's colored regions, outlined by iso-frequency contours, show the critical frequency for near-vertical ionosphere refraction.
Colored discs mark ionosonde stations, with numbers representing critical frequency (foF2)—the site's raw data source.
Another NVIS🗗 real-time map provided by the Australian Space Weather Service🗗 is updated every 15 minutes. It displays contours of the critical ionospheric frequency🗗 - foF2. There are a few differences between this map and the KC2G map, mainly due to the choice of frequencies for the contours. The KC2G map highlights ham bands. The following map, however, is designed for commercial use.
Figure 8.12: Online NVIS map courtesy of ASWFC Click on this online map to view the source page. There is further information.
Online T Index Map - foF2🗗 is provided by Australian Government Space Wheather Services🗗
The T-index forecasts high-frequency communication conditions and functions as an "equivalent sunspot number." Derived from foF2 measurements, it accounts for anomalies like geomagnetic storms that may influence these readings. Typically ranging from -50 to 200, lower values indicate limited HF frequency usability (e.g., during solar minimum), while higher values correspond to optimal conditions for higher frequencies (e.g., near solar maximum).
The recent foF2 measurements at various locations of Australia, New Zealand and East Antarctica
Figure 8.14: foF2 Plots courtesy of Australian Space Weather Forecasting Centre Click on this online chart to view the source page.
LUF (ALF) chart for the Pacific region, affected by the last M1+ solar flare
The lowest frequency at which two radio stations can connect is known as the LUF. It is dependent on ionospheric conditions due to solar flares, solar wind, and geomagnetic activity, as well as path factors (such as transmitting power and receiving SNR🗗). These variables collectively complicate mapping efforts. Figure 14.3 illustrates the attenuation resulting from solar flares and solar energetic particle (ISEP))events over the past eight hours.
The Australian Space Weather Alert System (ASWFC) provides LUF data for the recent M1+ solar flare:
Figure 8.15: LUF (ALF) chart for the Pacific region by ASWFC🗗
This chart relies on events and updates whenever a flare of magnitude M1 or greater occurs. The top line indicates the recent flare time.
The chart illustrates the LUF affected by the recent significant solar X-ray flare. As shown by the color bar, the most significant impacts occur within the inner circle. The map reflects the LUF for standard 1500 km HF circuits, where communication below the LUF is uncommon, while communication above it is generally possible. Shorter circuits may exhibit higher LUF values, enabling the use of lower frequencies. Conversely, longer circuits might still experience signal fading, even at elevated frequencies.
Chapter 9. Ionosphere Dynamics
The ionosphere has a regular daily cycle, but dramatic events cause chaotic disruptions. The atmosphere's different regions interact like a team, influencing one another in intricate ways. Weather patterns in the troposphere and activities from the Sun and Earth's magnetic field also play a role in this system. Atmospheric waves, such as gravity waves (ripples caused by air moving up and down) and planetary waves (large waves influenced by Earth's rotation and heat), along with geomagnetic activity, significantly impact the energy and dynamics in the thermosphere. This chapter delves into how these interactions affect the propagation of radio waves through the sky.
Sporadic E (Es) indicates occasional refractions from highly ionized plasma clouds in the lower E region.
Figure 9.1: refraction from Sporadic E plasma cloud
Operators may use Es for making mid-range contacts on the VHF amateur bands: 50 MHz (6 m), 70 MHz (4 m), and 144 MHz (2 m).
Sporadic E Propagation in 2 minutes courtesy of Andrew McColm, VK3FS🗗
Video clip: Equatorial sporadic E, occurring within ±10° of the geomagnetic equator, is a regular midday phenomenon. In polar latitudes, sporadic E, known as auroral E, can accompany auroras🗗 and disturbed magnetic conditions. At mid-latitudes, Es propagation often supports occasional long-distance communication on VHF bands during the approximately six weeks centered on the summer solstice, which normally only propagate by line-of-sight.
The moving plasma clouds or bubbles are traveling disturbances of electron density. Ionospheric "plasma bubbles" or "clouds" are the physical cause to the observed spread F phenomenon🗗.
The dynamic ionosphere causes signal fading (QSB) over time. Small-scale irregularities in the ionosphere are observed at all levels, with periodic motions attributed to neutral atmospheric waves interacting with ionized components in the upper atmosphere. While understanding is limited, the research promises the ability to predict short-term changes.
Additionally the ionosphereic regions are disrupted by (1) The chaotic solar activity and (2) The tropospheric weather from far below.
What effect does tropospheric weather have on the ionosphere?
Troposphere storms, hurricanes, and strong wind patterns can all temporarily alter the TEC caused by EUV solar radiation🗗.
In other words, the ionosphere and troposphere are coupled🗗 by a variety of mechanisms🗗.
For instance, a lightning storm can cause electrodynamic interaction.
The following figure illustrates electrodynamical coupling of the Troposphere with the Ionosphere🗗:
Figure 9.3: Ionospheric clouds due to Troposphere-Ionosphere coupling
Sprites - Transient Luminous Events (TLEs)🗗 Figure 9.4: The different forms of Transient Luminous Events Credit: NOAA
There are other complex mechanisms that couple the troposphere to the ionosphere. We won't go into detail at this point.
In conclusion, "Ionospheric clouds"🗗 that develop as a result of the coupling🗗 between the troposphere and ionosphere may affect skywave HF propagation.
The Digisonde Directogram🗗 may detect ionospheric plasma irregularities.
Figure 9.5: Digisonde Directogram
It consists of multi-beam ionosondes🗗, which measure echoes coming from various locations.
Seven ionosonde🗗 beams (one vertically and six diagonally) are used to generate the ionograms🗗. The end result is an extended ionogram of plasma clouds🗗 as they drift over a Digisonde station🗗.
Figure 9.6: Sample directogram for Cachimbo station from 12 UT Oct 10 to 12 UT Oct 11, 2002.
Blue color means ionospheric motion from west to east.
9.3 Ionospheric Storms cause fadeouts
Ionospheric storms🗗 involve a sudden change in the density of ionized particles, usually due to solar flares. However, solar wind and tropospheric tides can also influence these storms. Below, we explain the ionospheric disturbances: SID, TID, and GRB.
9.3.1 "Sudden Ionospheric Disturbances" (SID)🗗 are any one of several ionospheric perturbations resulting from abnormally high ionization or plasma density in the D-region of the ionosphere and caused by solar flares and/or solar particle events (SPE).
The SID affects HF skywave signal strengths, with lower frequencies being more heavily absorbed and resulting in a larger decrease in signal strength (see the next figure).
Figure 9.7: Fadeout signal strength vs. time courtesy of Australian Space Weather Service
During a strong SID, the LUF will increase to a frequency higher than the MUF, thus closing the usable frequency window, an event called a fadeout or blackout.
Figure 9.8: Normal solar activity vs. SID due to flares
The current short wave fadeout—SWF event (if any):
Figure 9.9: Online SWF event report courtesy of ASW Alert System
9.3.2
Polar cap absorption (PCA)🗗 events, driven by solar wind, involve high-energy protons reaching Earth's atmosphere near the magnetic poles, increasing ionization in the D and E regions. These events last from an hour to several days. Coronal mass ejections (CMEs) can also release energetic protons that enhance D-region absorption in polar areas.
Figure 9.10: Illustration of Polar Cap Absorption (PCA): radio waves can't propagate over the north pole
Streams solar ejected protons increase ionization in the lower ionosphere, blocking all radio communications in polar zones. These PCA events last as long as proton energy exceeds ~10 MeV and 10 pfu at geosynchronous satellite altitudes. The resulting HF radio blackouts pose significant challenges for aviation in polar regions, especially above 82 degrees north latitude, where rerouting is necessary to maintain viable communications. See the current fadeout report.
9.3.3 Traveling Ionospheric Disturbance (TID)🗗 is a wave-like structure passing through the ionosphere that alters the altitude and angle of refraction of skywaves. TIDs travel horizontally at 5–10 km/minute, with varying phases, amplitudes, and angles of arrival. Some originate in auroral (polar) zones.
Probing traveling F region ionospheric disturbances
The Super Dual Auroral Radar Network🗗 (SuperDARN) is an international network of 35 HF radars (8 MHz–22 MHz) located in the northern and southern hemispheres.
Figure 9.11: SuperDARN site in Holmwood SDA, Saskatoon, Canada🗗
The SuperDARN are designed to study F region ionospheric dynamics, instability, disturbances and storms. The research covers geospace phenomena, including field-aligned currents, magnetic reconnection, and mesospheric winds. It tests theories of polar cap expansion and contraction under changing IMF conditions, observing large-scale responses to substorms. The collaboration includes various institutions.🗗
9.3.4 Cosmic Gamma-ray Bursts (GRB)🗗 may also cause communications disturbances. Measurable effects are rarely observed.
On October 9, 2022, there was a cosmic gamma-ray burst that affected all ionospheric and stratospheric regions🗗. These are intense explosions observed in distant galaxies, the brightest and most extreme events in the universe. NASA describes them as the most powerful class of explosions since the Big Bang. Afterglows are longer-lived and typically emitted at longer wavelengths.
What is TEC? TEC is the total number of free electrons present along a path between two points.
Why is TEC important for HF propagation conditions?
TEC correlates with the critical frequency, foF2🗗, and is therefore implemented in a variety of ionosphere models🗗. Moreover, the total electron content can provide additional information about the structure and dynamics of the ionosphere. It can detect and monitor ionospheric disturbances, such as those caused by solar flares or geomagnetic storms.
Units: 1 TEC Unit (TECU) is the number of free electrons per square meter (x1016) for a shell height of 400 km directly above a certain point. Values in Earth’s atmosphere can range from a few to several hundred TEC units.
How is TEC measured? Data is gathered from GPS receivers worldwide, observing carrier phase delays in radio signals from satellites above the ionosphere, often using GPS satellites.
The effect of Tropospheric weather🗗:
The troposphere and ionosphere are separate atmospheric regions with distinct functions. However, they do interact through various processes.
Tropospheric lightning may induce changes in total electron content and consequently affect HF propagation conditions.
Thunderstorms can also worsen the signal-to-noise ratio, in particular in the lower HF bands; i.e., tropospheric weather may affect these conditions, especially in tropical regions. Thus, monitoring and modeling TEC patterns and variations allows us to better understand and prepare for the constantly changing atmospheric conditions.
Online TEC maps:
Figure 10.1: Online TEC map🗗 courtesy of the German Aerospace Center (DLR)
Figure 10.2: Past TEC variations🗗; animation courtesy of HB9VQQ.
Banners and widgets are visual aids for displaying global propagation conditions using propagation indices. They help radio operators to quickly assess current world conditions and make informed judgments about their operations.
Extreme Ultra Violet (EUV) radiation🗗creates the ionosphere, especially the F2-region. Since EUV is fully absorbed by the ionosphere, it doesn't reach the ground, making direct measurement impossible for ground-based devices. Before the space age, scientists relied on two indirect markers to gauge the ionization levels of the F2-region. These are the "Solar Indices":
SSN - Sunspot Number is a count of the number of dark spots seen on the sun.
Higher SSN values correlate with improved conditions on 14 MHz band and above:.
SFI - Solar flux index refers to the intensity of solar radio emissions at 10.7 cm (2,800 MHz).🗗
Higher flux correlates with increased ionization levels of the E and F regions, enhancing HF radio propagation conditions.
The current SFI: Loading solar flux data... (solar flux units; 1sfu=10-22 Watts per meter² per Hz).
304Å Index measures the solar radiation strength at 304 Ångstrom (30.4 nm) EUV, emitted primarily by ionized helium in the sun's photosphere. This parameter has two measurements: one from the EVE instrument🗗 on the Solar Dynamics Observatory (SDO) and the other from SEM instrument on the SOHO satellite🗗. It accounts for about half of the ionization of the F region in the ionosphere and loosely correlates to the SFI. The background SFI level is typically around 134 at solar minimums and can exceed 200 or more at solar maxima. It is updated hourly.
Solar X-ray flares (1–8 Ångstrom) are measured by instruments onboard GOES satellites🗗.
Excessive X-ray flares can cause ionization at the D region, leading to communication disruptions and blackouts.
Understanding the Correlation between Sunspots and Solar Flux:
Sunspot number records have been traced back to the 17th century but are often subject to interpretation. The solar flux at 10.7 cm wavelength (2,800 MHz) aligns closely with daily sunspot numbers, making both databases interchangeable.
The 10.7 cm Solar Flux data is more stable and reliable🗗 compared to the Sunspot Number (SSN).
Radio telescopes in Ottawa (from February 14, 1947, to May 31, 1991) and Penticton, British Columbia (since June 1, 1991), report solar flux density at 2,800 MHz daily at local noon (1700 GMT in Ottawa and 2000 GMT in Penticton). Corrections are made for factors like antenna gain, air absorption, solar bursts in progress, and background sky temperature.
Due to variations in solar radiation globally, even with corrections, consistent results are challenging. Thus, readings from the Penticton Radio Observatory in British Columbia, Canada, are used as a benchmark. These numbers are crucial for predicting ionospheric radio propagation.
The 10.7 cm radio flux consists of contributions from the undisturbed solar surface, active regions, and transient enhancements above the daily level. Levels are determined and corrected within a few percent.
11.3 Geomagnetic Indices
Geomagnetic indices🗗 measure disturbances in Earth's magnetic field🗗, which can disrupt HF propagation by increasing atmospheric noise and weakening radio signals. These indices are crucial for understanding the potential impacts on all communication systems, satellite operations, and even power grids.
K and A are local indices
K-index🗗: This index represents short-term (3-hour) geomagnetic activity at a specific geomagnetic station. It quantifies disturbances in Earth’s horizontal magnetic field by comparing geomagnetic fluctuations, measured by a magnetometer🗗, to a quiet day. The K-scale is logarithmic, allowing for a more manageable representation of the wide range of geomagnetic activity magnitudes.
A-index: This index averages K values to provide a linearized view of geomagnetic activity. It is important for predicting and understanding the effects of geomagnetic storms on HF communications.
Kp and Ap are global—planetary indices.
K and A indices measure local geomagnetic activity at a single observatory. A global average of these indices is calculated from 13 mid-latitude geomagnetic observatories, marked as Kp and Ap:
Kp: Average of K-indices from 13 observatories, indicating planetary geomagnetic activity.
Ap: Daily planetary geomagnetic activity, derived from the Kp index.
The HPo (GFZ) indices🗗 are less commonly referenced. This higher time resolution can be crucial for predicting and mitigating the impacts of geomagnetic storms on various technologies.
The half-hourly Hp30 and hourly Hp60, developed at GFZ (German Research Center for Geosciences)🗗, offer improved time resolutions compared to the three-hourly Kp. Together with the linear versions Ap30 and Ap60, they are collectively known as the HPo index, providing near-real-time data from about 13 geomagnetic observatories🗗.
HF propagation indices are essential tools for amateur radio operators to evaluate and predict radio wave propagation conditions. The key indicators include the Maximum Usable Frequency (MUF), Lowest Usable Frequency (LUF), and ionospheric noise levels. These indicators correlate with solar indices such as the Sun Spot Number (SSN), Solar Flux Index (SFI), X-ray flares, and solar wind, as well as geomagnetic indices. Understanding all these parameters is crucial for accurately estimating HF propagation conditions.
Interpretation of the propagation indices
Table 11.1: The correlation between HF band conditions and the good indices: MUF, SSN and SFI🗗
Conclusion: High values of the solar indices SSN and SFI correlate with goodHF propagation conditions.
Table 11.2: The correlation between HF band conditions and the geomagnetic K and A indices🗗
HF band conditions
Best
Average
Poor
BAD
Geomagnetic activity index (log-scale)
K
0
1
2
3
4
5
6
7
8
9
Geomagnetic activity index (linear)
A
0
4
7
15
27
48
80
132
207
400
Conclusion: High values of K and A indicate disturbed HF propagation conditions.
Note: The solar wind significantly influences fluctuations in the geomagnetic indices. By examining solar wind data—such as density and velocity—we can understand both the "why" and "how fast" behind these changes, allowing us to predict variations ahead of the next 3-hour K update. If you're simply determining whether the HF band is usable tonight, the local K index may suffice. However, for optimizing a specific path or timing, incorporating solar wind data becomes essential.
Table 11.3: The correlation between HF band conditions and radio blackout scale, and solar flare class
The global propagation indices over the recent month
Figure 11.6: The recorded propagation indices over the last 30 days, provided by QRZCQ🗗
Please note the correlation between the acronyms in the title (SF, SN, AI, KI, XR) and the names of the relevant indices given below the graph:
SF:=Flux index;
SN:=Spot number;
AI:=A index;
KI:=Kp index; and
XR:=X-Ray index.
Solar irradiance🗗 quantifies sunlight power on a surface in watts per square meter (W/m²). On Earth, it fluctuates with location, time, and atmospheric conditions. Since 1978, space-based studies show the "solar constant" varies, influenced by cycles like the 11-year sunspot cycle. Quiet and active solar events affect space weather and HF skywave propagation.
The sun emits electromagnetic radiation🗗 across a wide spectrum🗗 from Gama-rays to ELF (extreme long radio waves).
Figure 12.1: The solar electromagnetic spectrum, arranged left to right by wavelength from shortest to longest.
The Extreme Ultra Violet EUV🗗 generates the ionosphere.
Figure 12.2: The EUV spectrum of the whole Sun
This EUV spectrum was measured by the prototype SDO/EVE instrument flown aboard a rocket on 2008 April 14, during solar minimum between cycles 23 and 24.
Ref🗗: ibid. Solar UV and X-ray spectral diagnostics, Fig. 11 on page 25 of 278.
Peak (He II) EUV radiation at a wavelength of 30.4 nm is the most important solar emission contributing to half of the Ionospheric F regionionization🗗.
Lyman series-alpha Hydrogen-spectral-line🗗 at a wavelength of 121.6 nm ionizes Nitric Oxide (NO) at the D-region🗗 causing mostly
absorption of HF bands below 10 MHz.
Higher sunspot numbers indicate elevated solar flux levels, enhancing ionization in Earth's upper atmosphere and improving high-frequency (HF) radio wave propagation. Conclusion:more sunspots → higher solar flux → better HF communication.
Sunspots vary in shape, size, and duration, lasting from a few hours to several months.
The average number of sunspots fluctuates throughout the solar cycle, an approximate 11-year cycle of solar activity.
Left: Sunspots in visible light Right Extreme Ultra Violet🗗 (EUV 30.4 nm) Figure 12.3: Two images of the Sun (February 3, 2002) by Solar and Heliospheric Observatory (SOHO) satellite🗗 courtesy of European Space Agency and NASA.
Q. What is the reason for analyzing sunspots in both visible and ultraviolet light?
A. Observing sunspots in visible light allows us to see them directly with our eyes or telescopes. Using ultraviolet (UV) light reveals magnetic disturbances that are invisible in regular light. Studying sunspots in both visible and UV light helps us understand their features and the activities occurring on the sun.
12.4 Solar storms (X-ray flares and particle events)🗗
The Impact of Solar Storms on HF Communication
Solar storms can significantly disrupt high-frequency (HF) communication through radio fadeouts and blackouts, caused by solar flares and solar energetic particles (SEP).
SEP events: Mainly cause Polar Cap Absorption (PCA)🗗, leading to attenuation levels that can obstruct most transpolar HF radio transmissions. In severe cases, can result in tens of decibels of attenuation.
A PCA may commence as soon as a few minutes after the flare onset and persist up to ten days.
For centuries, people have been observing sunspots without knowing what they are.
We now understand that these are symptoms of solar storms.
(B) Solar Energetic Particle Events🗗 (CME, SEP, and SPE):
A coronal mass ejection (CME)🗗 is a significant ejection of plasma mass🗗 from the sun's corona into the heliosphere🗗, following solar flares.
The magnetic fields of CMEs merge with the interplanetary magnetic field.
Figure 12.6: LASCO C2 image🗗, taken 8-January-2002 shows coronal mass ejection (CME) captured by SOlar and Heliospheric Observatory (SOHO)🗗. Credit: NASA / GSFC / SOHO / ESA
CMEs release large amounts of matter into the solar wind and interplanetary space, primarily consisting of electrons and protons.
Coronal Mass Ejections (CMEs) occur alongside solar flares. Pre-eruption structures require magnetic energy, while post-eruption structures form magnetic flux ropes and prominences.
Figure 12.7: Model of solar flares and CMEs; enhanced diagram following Fig 1. of Shibata et al.🗗
Types of CMEs🗗:
* Halo CMEs: Appear as a halo around the Sun; often directed towards or away from Earth.
* Partial Halo CMEs: CMEs: Cover part of the Sun; less impactful than full halos.
* Narrow CMEs: Confined to a narrow width; less likely to impact Earth directly.
* Fast CMEs: Travel faster than 500 km/s. They can cause significant geomagnetic storms.
* Slow CMEs: Travel slower than 500 km/s. Generally have a lesser impact.
Each type can affect Earth's magnetosphere differently, potentially causing geomagnetic storms.
Solar flares and CMEs spontaneously, disrupt the solar wind and damaging systems both near-Earth and on its surface.
Solar energetic particles (SEPs) are high-energy, charged particles from the solar atmosphere and part of the solar wind. They include electrons, protons, alpha particles, and heavy ions with energies from a few tens of keV to many GeV. Solar particle events (SPEs) accelerate solar energetic particles (SEPs) either at the sites of solar flares or through shock waves generated by coronal mass ejections (CMEs). Upon reaching Earth, these high-energy particles interact with the planet's magnetosphere, influencing space weather conditions. Earth's magnetic field🗗 guides them to the magnetic poles, causing auroras🗗. Scott Forbush first detected SEPs as ground-level enhancements in 1942.
Solar Proton Event (SPE) occurs when the Sun emits protons that accelerate to high energies during a solar flare or coronal mass ejection (CME). These protons travel towards Earth through the solar wind or CME and are guided by interplanetary magnetic field lines.
Sunspots, unlike flares and CMEs, are statistically predicted. Sub-chapter 12.5 discusses the Solar Cycle. Sub-chapter 12.6 presents long term prediction for Radio Flux at 10.7 cm.
Sunspots change in eleven year cycles. There are many sunspots during solar maximum🗗 and few during solar minimum.
Figure 12.8: Solar Cycle: Minimum (2019) to Maximum (2024) courtesy of NASA's Goddard Space Flight Center.
Visible light images from NASA's Solar Dynamics Observatory showcase the Sun's appearance at solar minimum (left, Dec. 2019) and solar maximum (right, Aug. 2024). During solar minimum, the Sun often appears spotless. Sunspots, linked to solar activity, are used to track the solar cycle's progress.
Figure 12.9: Solar Cycle Sunspot Number Progression Source: The International Space Environment Service (ISES)🗗
Video clip: An animated overview of the Solar Cycle; published by NASA in May 2013
Solar magnetic flips are associated with solar maximum🗗, when the number of sunspots is near its maximum, but it is often a gradual process that can take up to 18 months. The reversal will most likely take three to four months to complete.
The sunspot cycle begins when a sunspot appears on the sun's surface at roughly 30 degrees latitude. The formation zone then travels toward the equator. At its peak intensity, the sun's global magnetic field reverses its polar regions, as if the positive and negative ends of a magnet were flipped at each of the sun's poles.
There have been 24 (11-years) solar cycles since 1749. The magnetic field of the sun totally flipped every 11 years or so. In other words, the sun's north and south poles switched places. After two reversals (22 years), the solar magnetic field returns to its former orientation. This is known as "Hale cycle".
Understanding the complex interactions between solar magnetic fields, sunspots, and the solar cycle is crucial for comprehending the Sun's dynamic behavior and its impact on Earth, specifically HF propgation conditions.
The Current 25th Cycle began in 2020. The number of sunspots observed far exceeds predictions.
July 2024 marked the peak of Solar Cycle 25, with a monthly average sunspot number of 196.5, a new high. The last time this occurred was in December 2001. Despite predictions of a similar cycle size to previous cycles, Solar Cycle 25 exceeded these expectations.
Figure 12.10: Sunspot Number progression during solar sycles 24 and 25 up to Mar 2025
Source: The International Space Environment Service (ISES)
Online chart of the recent 30-day sunspot numbers Figure 12.11: EISN - Estimated International Sunspot Number
Solar flux🗗 like sunspot number can be also used to show the observed and predicted Solar Cycle.
Figure 12.12: Solar Flux progression during solar sycle 25 up to Dec 2024
Source: The International Space Environment Service (ISES)
Solar Cycle Notable Events
More than 150 years ago, the most intense geomagnetic storm was recorded on 1-2 September 1859 during solar cycle 10. This event is known as the Carrington Event🗗.
Figure 12.13: The Carrington Event
Sunspot cycles can vary, meaning they are not identical.
Comparison of the recent Solar Cycles by Jan Alvestad🗗:
The current 25th solar cycle is significantly stronger than the previous 24th cycle, but weaker than the three preceding cycles (21st-23rd).
Figure 12.14: Comparison of the recent Solar Cycles
North-South Sunspot Asymmetries
Previous research has found north-south asymmetries for solar activity. These data point to some decoupling between the two hemispheres during the evolution of the solar cycle, which is consistent with dynamo theories. So yet, only little data are available for the two hemispheres independently for the most important solar activity metric, sunspot numbers. Below see an example:
Figure 12.15: Sunspot Asymmetries
Hemispheric Sunsopt Number 1950-2021 provided by SIDC - Solar Influences Data Analysis Center, Royal Observatory of Belgium
🗗
12.6 Predicting Solar Flux and Sunspot Number
The NOAA Space Weather Prediction Center forecasts the monthly sunspot number and 10.7 cm radio flux. The sunspot number represents the count of visible sunspots on the solar surface, while the 10.7 cm radio flux measures solar radio emission at 2,800 MHz. These predictions use a blend of observational data, analytical methods, and AI techniques.
Here are three recommended reports:
A multi-year (2022-2040) forecast🗗 of Sunspot number and 10.7 cm radio flux.
The predicted values are based on the consensus of the Solar Cycle 24 Prediction Panel.
The 27-day Space Weather Outlook Table🗗 offers numerical predictions for three important solar and geophysical measurements:
2.1 10.7 cm Solar Radio Flux - This is a measure of solar activity.
2.2 Planetary A Index - This indicates the level of geomagnetic activity.
2.3 The Largest Daily K Values - These reflect the highest levels of geomagnetic disturbances each day.
Three Day Geomagnetic and Aurora Forecast by SolarHam🗗 that relays data and images from various sources.
Near real-time views of the Sun🗗 shown below were taken by SOHO telescope🗗 at four EUV wavelengths, each associated with a different color of the sun disc.
Brighter areas show higher levels of solar surface activity, i.e. higher Solar Flux Index.
Images of the solar activity at several wavelengths
17.1 nm Fe IX/X
19.5 nm Fe XII
28.4 nm Fe XIV
30.4 nm Helium II
Figure 12.16: Real-time SOHO🗗 images at EUV
by EIT (Extreme ultravioletImagingTelescope)🗗
Solar Images courtesy of NASA, Solar Data Analysis Center🗗
Click on a thumbnail to view a larger image (opens a new window). Sometimes you may see cluttered images (NASA CCD Bakeout explanation).
The Extreme Ultraviolet Imaging Telescope (EIT)🗗 aboard the SOHO spacecraft🗗 captures high-resolution images of the solar corona. The EIT detects EUV at certain wavelengths: 17.1, 19.5, and 28.4 nm (from ionized iron in the solar corona), as well as 30.4 nm (from helium). These four wavelengths reveal the intensity distribution originating from the solar chromosphere and the transition region🗗.
The average and local EUV intensity changes over time scales ranging from days to months due to the predictable solar rotation and from years to decades due to the predictable solar cycle. However, unpredictable X-ray flares can vary by orders of magnitude over time scales ranging from minutes to hours, as discussed in the following subchapter.
Solar flares and CMEs emit radio waves at various frequencies.
• These emissions come in bursts.
• These bursts disrupt space weather and interfere with communication systems.
• The spectrum of radiation spans from a few kHz to several GHz.
• Different sunspot cycles can produce distinct radio burst distributions, especially at 245 MHz.
• Predicting future solar events is challenging due to gaps in data archives, leading to underestimated burst rates.
• The temporal variations in the maximum solar radiation intensity at different frequencies, particularly at 245 MHz, help estimate the flow velocity in the solar corona during coronal mass ejections.
Solar radio emissions may indicate complex processes.
Below, see multi-frequency (VHF-SHF) radio bursts superimposed on a persistent background characterizing solar flares:
Figure 12.17: Multi-Radio-Frequency Observations of the Sun
Picture Source: Patrick McCauley Mccauley.pi, CC BY-SA 4.0; Author: Peijin Zhang 2022
Wikipedia describes space weather🗗 as "a branch of space physics🗗 and aeronomy🗗, or heliophysics🗗, concerned with time-varying conditions within the Solar System🗗, emphasizing space surrounding the Earth."
Table 13.1: The NOAA R-S-G scales*Proton flux unit (pfu) = protons/cm²/second/steradian
13.2 Solar Wind Impact on Earth and HF Propagation
The solar wind🗗 is the fundamental driver of space weather. It is a stream of charged particles🗗 emitted by the sun's corona into outer space. These particles interact with Earth’s magnetosphere and magnetic field🗗, significantly affecting skywave propagation and triggering auroras🗗 around the Earth’s poles.
The illustration above shows the solar wind reaching the magnetosphere, compressesing the magnetic field on the side facing the sun while elongating it on the opposite side.
Figure 13.3: The Heliospheric Current Sheet (HCS)🗗
The IMF originates from the Sun's corona, forming a three-dimensional plasma spiral due to the Sun's rotation, known as the Parker spiral🗗. It has radial and azimuthal components and a sector structure where the magnetic field direction can switch. Figure 13.21 shows the current prediction of plasma density and radial velocity.
Earth's magnetic field🗗 governs the magnetosphere🗗, the region enveloping our planet. This field protects us from the adverse effects of solar particles, X-ray flares, and cosmic radiation, all of which influence geomagnetic activity and, in turn, significantly impact skywave propagation.
The strength of the magnetic field is measured in units of Gauss (G) or Tesla (T)🗗.
Figure 13.4: Earth's Magnetic field🗗—the geomagnetic field.
The orientation of Earth’s magnetic field is composed of two variables:
1. Earth's axis is tilted 23.5° to the ecliptic plane🗗
2. Earth's magnetic field is tilted 11° relative to the Earth's axis.
Figure 13.5: The magnetosphere is a "magnetic bubble" that surrounds Earth. Its shape depends on the solar wind and the orientation of the Earth’s magnetic field. Click on the figure above for additional explanations.
13.4 Geomagnetic Activity
Geomagnetic activity refers to disturbances in Earth’s magnetic field caused by the solar wind and other solar phenomena. There is a long term possitive correlation between high solar activity and geomagnetic activity. These disturbances can range from minor fluctuations to major geomagnetic storms🗗, often associated with auroras🗗.
Auroras in polar zones result from interactions between charged solar wind particles and Earth's magnetic field, creating the glowing auroras. These interactions enhance ionization of the D-region, disrupting HF radio communications.
The following public domain images show auroras near the polar regions, known as the Northern Lights (Aurora Borealis) and Southern Lights (Aurora Australis).
Figure 13.6: Rare Red Aurora caused by oxygen at altitudes above 150 km.
Figure 13.7: Green Aurora caused by oxygen at altitudes of about 100 to 150 km.
Figure 13.8: A horizontal view of colorful auroras. Purple and Blue caused by nitrogen molecules at lower altitudes of 90 to 100 km.
Geomagnetic storms are more frequent during periods of high solar activity.
These storms occur one to four days after a CME, triggering auroras🗗.
What causes geomagnetic storms?
Solar magnetic storms trigger geomagnetic storms, as illustrated in figure 13.9 below.
Figure 13.9: Interaction Between Earth's Magnetosphere and Solar Activity
When a CME enters the magnetosphere, it causes a Geomagnetic Storm
The impact of geomagnetic storms on HF propagation
13.2: The correlation between the global geomagnetic activity and HF propagation conditions
Geomagnetic activity
G0-5
G0
1
2
3
4
5
Disturbance ( 3-h log. scale)
Kp
0
1
2
3
4
5
6
7
8
9
Disturbance (24-h linear scale)
Ap
0
4
7
15
27
48
80
132
207
400
HF Propagation conditions
Best
Average
Poor
BAD
A geomagnetic storm induces high absorption levels in the lower HF bands near the equator, causing a complete fadeout of HF signals, due to the reduction of the MUF in equatorial regions, while increasing the LUF.
The MUF in polar regions grows dramatically, enabling low VHF contacts.
Geomagnetic Storm Dynamics
Figure 13.10: Geomagnetic Storm Dynamics based on Kakioka Magnetic Observatory, Japan🗗 This is a typical morphology of sudden-commencement type magnetic storms (horizontal force variation).
A geomagnetic storm has three phases: initial, main, and recovery. The initial phase involves an increase in the Disturbance Storm Time (Dst) index 🗗 by 20 to 50 nano-Tesla (nT) in tens of minutes. The Dst index estimates the globally averaged change of the horizontal component of the Earth's magnetic field🗗 at the magnetic equator based on measurements from terrestrial magnetometer stations🗗. Dst is computed once per hour and reported in near-real-time.
13.6 Space Weather Observations
Monitoring space weather involves a combination of space observations, ground-based measurements, and computer models:
Space observatories: Satellites play a crucial role in predicting space weather and its impact on HF radio propagation:
ACE🗗 (Advanced Composition Explorer): Positioned at L1 Lagrange point, provides real-time data on solar wind🗗 and geomagnetic storms, giving up to an hour's advance warning of space weather events that can impact Earth.
GOES🗗 (Geostationary Operational Environmental Satellites):
Tracks solar flares and other space weather phenomena, aiding in timely alerts and mitigating potential impacts on HF propagation and space technology🗗.
DSCOVR🗗 (Deep Space Climate Observatory): Positioned at L1 Lagrange point, monitors real-time solar wind, providing early warnings for geomagnetic storms.
Relevant Science Focus Areas: 1. Solar wind activity. 2. Reflected and emitted radiation from the entire sunlit face of the Earth. 3. Ozone and aerosol amounts, cloud height and phase, vegetation properties, hotspot land properties and UV radiation estimates at Earth's surface.
SDO🗗 (Solar Dynamics Observatory): Delivers detailed images of the sun divided into four spectral bands.
SOHO🗗 (Solar and Heliospheric Observatory): Positioned at L1 Lagrange point, monitors solar activity and space weather.
STEREO🗗 (Solar and Terrestrial Relations Observatory): Consists of STEREO-A (Ahead) and STEREO-B (Behind),
which orbit the Sun near the stable Lagrange Points L4 and L5🗗 to provide a 3D view of solar phenomena from multiple perspectives.
The Parker Solar Probe significantly contributes to the prediction of space weather. By flying closer to the Sun than any previous spacecraft, it collects unprecedented data on the solar wind and the Sun’s corona.
**Note: The satellites SOHO, ACE, and DSCOVR, monitor the hazardous Coronal Mass Ejections (CMEs) at the L1 Lagrange point.
Figure 13.11: Monitoring Space Weather
The Lagrange Mission monitors hazardous CME headed toward Earth;
A modified illustration based on ESA/A. Baker, CC BY-SA 3.0 IGO; AGU - Advanced Earth and Space Science
On the right side (of the above picture), you may see an illustration of the Magnetosphere🗗, which protects Earth from Solar Wind. The magnetosphere is a part of a dynamic, interconnected system that responds to solar, planetary, and interstellar conditions. It is disturbed when solar wind interacts with the space environment surrounding Earth.
The Lagrange point L1🗗 allows a satellite to maintain a constant line with Earth as it orbits the Sun.
Figure 13.12: A satellite trapped at the L1 point🗗 of the Sun-Earth-Moon gravitational system. Published by Space Weather Live🗗
Ground-based observatories:
Ionosondes🗗 measure the ionosphere’s electron density profile by transmitting radio waves and analyzing the returned signals. They help determine the ionospheric regions’ height and density, crucial for predicting HF radio wave propagation.
Terrestrial magnetometers🗗 measure geomagnetic fluctuations, providing data on the Earth’s magnetic field.
They help monitor geomagnetic storms and disturbances that can affect HF propagation by altering the ionosphere’s structure. See examples of terrestrial magnetomeres🗗.
Radio telescopes detect solar radio emissions, which can indicate solar flares and other disturbances. By monitoring these emissions, scientists can predict space weather events that might impact HF radio communication.
Ground-based observatories, combined with satellite data, provide a comprehensive picture of space weather conditions affecting HF propagation.
Potential danger to high altitude aircraft in the polar regions
Impact on Magnetosphere Interactions
Voltage Across the Polar Cap x10 Kv
13.8 Geomagnetic Forecast
Forecasting🗗 geomagnetic activity relies on solar and space weather observations. It is crucial for protecting power grids, communication systems, and satellites from solar storms. Knowing upcoming geomagnetic activity can help radio amateurs plan their operations effectively.
Geomagnetic Warnings and Alerts🗗
provided online by ASWPC.
See below two products provided online by NOAA SWPC:
Geomagnetic Activity Forecast🗗 provided online by NOAA SWPC🗗
Ap Index: Daily global geomagnetic activity, derived from the Kp index.
Geomagnetic Activity % probabilities: Observed today | Estimated 24 hours | Predicted 48 hours
Kp Index Forecast: Predicts geomagnetic activity every 3 hours.
This product helps predict space weather impacts on Earth, such as disruptions to communication and navigation systems.
Prediction of Plasma Density and Radial Velocity🗗 Figure 13.21: Two polar plots around the sun, provided online by NOAA SWPC: Plasma density (particles per cubic centimeter: r²×N/cm⁻³) and Radial velocity (km/s).
This illustration depicts NOAA's prediction of plasma density and radial velocity from a CME originating from the Sun.
The left panels (ecliptic plane and meridional slice) show spatial distribution, while the right panels show time series data for Earth and STEREO A🗗. It may help us understand the impact of space weather on Earth. The spatial distribution plot shows the Sun as a yellow dot, Earth as a green dot, and STEREO A as a red dot.
The ecliptic plane🗗 (left vane circle) is the imaginary flat surface along which the Earth and other planets orbit the Sun. It demonstrates the plasma spreading around the Sun over time, allowing us to estimate the consequences of space weather on Earth. The meridional slice (in the middle) that intersects the Earth provides a 'side' view of the solar wind structures as they approach the planet.
The Space Weather Forecast Center employs WSA-Enlil, a large-scale heliospheric model. It issues one-to-four-day warnings about solar wind structures and Earth-directed CMEs, which cause geomagnetic storms. Solar disturbances disrupt communications, harm geomagnetic systems, and jeopardize satellite operations.
13.9 Challenges in Geomagnetic Storm Forecasting
Geomagnetic storm predictions are often inaccurate because only about 12% of coronal mass ejections (CMEs) actually reach Earth, leading to frequent (~88%) false warnings of potential storms🗗. Historical data shows that only a few solar storms, like the Quebec storm in 1989 and a series of storms in 2003, matched the intensity of the Carrington Event. In 2012, a powerful CME narrowly missed Earth.
Physics Girl🗗 highlighted a similar event in April 2022, where a solar storm missed Earth by just 9 days:
Some CMEs exhibit a consistent magnetic field direction, while most show changing field directions during their passage over Earth. Generally, CMEs impacting Earth's magnetosphere will have an IMF orientation that favors geomagnetic storm generation at some point.
The CME's ability to cause geomagnetic disruptions is determined by the magnetic structure of the embedded flux rope. However, existing forecasting capabilities are limited due to a scarcity of remote-sensing techniques for predicting CME deformation, rotation, and deflection.
Figure 14.1: Current and predicted fadeouts as reported online by ASWFC🗗
During a blackout event, the drop in signal heavily affects the lower HF bands: Figure 14.2: Typical Fadeout signal strength vs. time, courtesy of ASWS🗗
The D-RAP (D Region Absorption Predictions) model uses empirical relationships to calculate HF absorption based on space weather parameters.
Figure 14.3: The predicted LUF attenuation of skywaves (from 3 to 35 MHz) due to flares and SEP Click on the figure to view an animation over the last eight hours.
The D-RAP model🗗 helps understand HF radio fadeouts and blackouts by providing graphical and textual information on global HF propagation conditions.
Electron density in the D region, which can vary within minutes, directly affects the LUF.
At low latitudes, X-ray photons from solar flares lead to rapid fadeouts and blackouts. Solar wind particles cause longer-term polar cap absorption (PCA) events at high latitudes.
Geospace Dynamic Models: These models are still being developed to forecast geomagnetic storms and blackouts, implicitly included in the results of ionograms.
The essay ends prematurely, but the website updates daily.
Last but not least:
Since only a small number of amateurs operate in the SHF and higher frequencies, commercial users have begun accessing radio amateur bands🗗. However, we have gained new narrow bands in the short, medium, and long wave ranges. While these additions may be limited, they provide new opportunities for enhancing communication without dependence on commercial infrastructure.
If you have comments, questions or requests please e-mail.
73 de Doron, 4X4XM
References Links to external sources automatically open in a new tab.
The list of sources below are organized by topic, as follows:
Map for amateur radio uses (HamRadio) : In the shape of a terrestrial world globe, the MUF and Aurora Borealis layer. This gives the distances and directions of antennas between amateur radio stations, the position on the Maidenhead Locator grid.
Sun In TimeAIA (Atmospheric Imaging Assembly), relays SDO images courtesy of NASA
EVE OverviewSolar Phys. - The Solar Dynamics Observatory The EVE project (real-time high-resolution EUV measurements) was designed to improve understanding of the evolution of solar flares and extend the related mathematical models🗗 used to analyze solar flare events.
Dr. Tamitha Skov is a space weather physicist that reviews solar storms and anlyzes how they affect spacewetaher. She specializes in forecasting and analyzing space weather processes in the heliosphere and exosphere🗗. Her work extends to both traditional media and social platforms. As a credentialed space weather forecaster, she helps the public understand the effects of space weather.
Current Space Weather Parameters updated every 2 minutes Solar Terrestrial Dispatch Solar Wind, X-ray flares, Auroral Storm Potential, Current Magnetic Indices
Solar wind Magnetospheric Multiscale (MMS):
Four Magnetospheric Multiscale (MMS) spacecraft, flying in a tetrahedral formation, detect charged particles and magnetic fields in space, helping scientists understand how solar wind interacts with Earth’s magnetosphere. This mission, involving Rice University, studies magnetic reconnection, acceleration, and turbulence in space.
9 Different phases of a typical geomagnetic storm are shown. The sudden commencement, initial, main and recovery phases are characterized by a sudden rise, constant, fast decrease, and slow recovery in the horizontal components of Earth's magnetic field, respectively.
Gamma-ray burstWikipedia Gamma-ray bursts are the most intense explosions in the universe, observed in distant galaxies, with longer-lived afterglows and longer wavelengths emitted.
HF Propagation ToolsHamwaves - Serge Stroobandt, ON4AA Real-time online dashboard of solar activity influencing HF propagation on Earth.
Real-time HF propagation space weatherHamwaves - Serge Stroobandt, ON4AA Real-time online dashboard of solar activity influencing HF propagation on Earth.
An Open-Source IRI-based Nowcasting Tool for Ionospheric Electron Density and HF Propagation Andrew D Rodland (2022 Harvard Abstracts)
An overview of the software and the models behind prop.kc2g.com, a website using the IRI-2016 model, conditioned on near-real-time ionosonde data, to provide global maps of MUF(3000) and foF2. While primarily designed for radio amateur use, this system is useful for nowcasting of F region ionospheric density and mesoscale low elevation HF propagation characteristics.
The Advanced Stand Alone Prediction System (ASAPS)ASWFC Australian Space Weather Forecasting Centre offer three software products to predict HF propagation:
1. GWPS - designed for HF operators working in defence and emergency services
2. ASAPS Kernel - The Advanced Stand Alone Prediction System designed for government, defence and emergency services
3. Consultancies - designed for industry, defence and emergency services
DR2W - Predict Propagation ConditionsDK9IP (Winfried), DH3WO (Wolfgang), DJ2BQ (Ewald), ZS1AO/DJ2HD (Mathew)
A Long-term forecasting cannot take into account unpredicted ionospheric and magnetic disturbances or anomalies.
VOACAP Online Application for Ham RadioJari Perkiömäki, OH6BG / OG6G
VOACAP forecasts monthly average of the expected reliability with diurnal and seasonal variations.
A Long-term forecasting cannot take into account unpredicted ionospheric and magnetic disturbances or anomalies.
IOCAP Application Introduction VideoSANSA The South African National Space Agency (SANSA) created i/o cap Primary Work Surface, an operational HF communication solution. It's a modern, user-friendly HF frequency prediction tool that's simple to use and accurate. In a software program, it blends space weather research and practical HF experience.
Misc.
DX Toolbox - Shortwave / Ham Radio / HF Radio PropagationBlack Cat Systems This is a software application that provides a range of tools for HF radio operators, including propagation forecast based on the Solar Terrestrial Dispatch (STL) model. It also includes a real-time solar data display and a gray line map.
Amateur propagation programs, accessible via the internet, provide graphical solutions and simulate ionospheric effects using near-real-time data or well-known functions, achieving high accuracy.
VOACAP, a US government-funded HF propagation prediction engine, has been continuously improved over since the 1980s.
Predicting and Monitoring PropagationDXLab * Solar terminator display and prediction - shows gray line at any specified date and time.
* Propagation prediction - provides a graphical view of openings by frequency and time using your choice of the included VOACAP, ICEPAC, and IONCAP forecasting engines.
PropView forecasts LUF and MUF between two locations over a 24-hour period using VOACAP, ICEPAC, and IONCAP engines. It can specify locations via latitude/longitude entry or DXCC prefix entry. PropView can build schedules for the IARU/HF beacon network and monitor the NCDXF/IARU International Beacon Network. It interoperates with Commander and DXView for automatic monitoring and location display.
Mathematical models🗗 and numerical procedures simulate dynamic processes in HF radio propagation, considering interactions between the Sun's and Earth's surfaces, sun, space weather, ionosphere, and atmosphere.
Validation of models
ITU-R Directory (2025) ITU Software, Data and Validation examples for ionospheric and tropospheric radio wave propagation and radio noise
Comparison of observed and predicted MUF(3000)F2 in the polar cap regionRadio Science AGU (2015) Comparison of ICEPAC, VOACAP, and REC533 models reveal diurnal and seasonal variations. Summer diurnal variation is not represented by the VOACAP or ICEPAC models. REC533 surpasses VOACAP during the winter and equinox months. ICEPAC performs poorly during periods of low solar activity.
VOACAP–Voice of America Coverage Analysis Program is a professional hf system performance prediction tool VOACAP predicts monthly average expected reliability, considering diurnal and seasonal variations, but does not account for unpredicted ionospheric and magnetic disturbances or anomalies.
ITUR HF Prop
Prediction of HF circuits based on Recommendation ITU-R P.533 model - an improved (2017) point-to-point propagation prediction tool, based on an ITU engine, developed by Gwyn Williams, G4FKH.
Amateur RadioWikipedia Amateur Radio, also known as Ham Radio, is a hobby involving non-commercial communication, wireless experimentation, self-training, private recreation, radiosport, contesting, and emergency communications. This activity utilizes radio transmitters and receivers.
Radio AmateurWikipedia Radio Amateur or Radio Ham is the person usualy a licensed operator who communicates with other radio amateurs on amateur radio frequencies.
Amateur radio stationWikipedia Read about different types of stations used by amateur radio operators.
The Basics of Radio Wave PropagationEdwin C. Jones, MD, PhD (AE4TM) Knoxville, TN That page provides an overview of radio wave transmission processes, including a glossary of solar and propagation terms.
Automatic Link Establishment (ALE) is a feature that enables a radio station to select the best frequency to establish a connection with another HF radio station or network of stations. It replaces traditional prediction techniques and reliance on trained operators.
Ham Radio Science Citizen InvestigationHamSCI HamSCI promotes collaboration between researchers and radio operators, supports the development of standards and agreements, and advances projects with the following goals: * Advance scientific research through amateur radio.
* Encourage the development of new technologies. * Provide educational opportunities for amateurs and the public.