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openhamclock/iturhfprop-service
accius 976db065ca
11m support
4 days ago
..
.dockerignore fix service 4 days ago
Dockerfile updated to use ISOTROPIC keyword 4 days ago
README.md updates 4 days ago
package.json adding better predictions 4 days ago
railway.toml adding better predictions 4 days ago
server.js 11m support 4 days ago

README.md

ITURHFProp Service

REST API wrapper for the ITURHFProp HF propagation prediction engine, implementing ITU-R P.533-14 "Method for the prediction of the performance of HF circuits".

Overview

This microservice provides HF propagation predictions as a REST API, suitable for integration with OpenHamClock or any amateur radio application needing professional-grade propagation forecasts.

Why ITURHFProp?

  • ITU-R P.533-14 Compliant - The international standard for HF prediction
  • Official ITU Release - From ITU-R Study Group 3
  • Pre-built Binaries - No compilation required
  • No API Restrictions - Unlike web services, you control the engine

API Endpoints

Health Check

GET /api/health

Response:

{
  "status": "healthy",
  "service": "iturhfprop",
  "engine": "ITURHFProp (ITU-R P.533-14)"
}

Single Point Prediction

GET /api/predict?txLat=40.1&txLon=-74.8&rxLat=51.5&rxLon=-0.1&month=1&hour=12&ssn=100

Parameters:

Param Required Description
txLat Yes Transmitter latitude
txLon Yes Transmitter longitude
rxLat Yes Receiver latitude
rxLon Yes Receiver longitude
month No Month (1-12), default: current
hour No UTC hour (0-23), default: current
ssn No Smoothed Sunspot Number, default: 100
year No Year, default: current
txPower No TX power in watts, default: 100
frequencies No Comma-separated MHz values

Response:

{
  "model": "ITU-R P.533-14",
  "engine": "ITURHFProp",
  "muf": 28.5,
  "frequencies": [
    { "freq": 14.1, "reliability": 85, "snr": 25, "sdbw": -95 },
    { "freq": 21.1, "reliability": 72, "snr": 18, "sdbw": -102 }
  ],
  "elapsed": 150
}

24-Hour Prediction

GET /api/predict/hourly?txLat=40.1&txLon=-74.8&rxLat=51.5&rxLon=-0.1&month=1&ssn=100

Returns predictions for each hour (0-23 UTC).

Band Conditions (Simplified)

GET /api/bands?txLat=40.1&txLon=-74.8&rxLat=51.5&rxLon=-0.1

Response:

{
  "model": "ITU-R P.533-14",
  "muf": 28.5,
  "bands": {
    "20m": { "freq": 14.1, "reliability": 85, "status": "GOOD" },
    "15m": { "freq": 21.1, "reliability": 72, "status": "GOOD" },
    "10m": { "freq": 28.1, "reliability": 45, "status": "FAIR" }
  }
}

Deployment

  1. Create a new project on Railway
  2. Connect this directory as a service
  3. Deploy!

The Dockerfile will:

  • Clone and build ITURHFProp from source
  • Set up the Node.js API wrapper
  • Configure all necessary data files

Docker

# Build
docker build -t iturhfprop-service .

# Run
docker run -p 3000:3000 iturhfprop-service

# Test
curl http://localhost:3000/api/health

Local Development

Download ITURHFProp binaries from the official release:

# Download binaries (Linux)
curl -L -o ITURHFProp "https://github.com/ITU-R-Study-Group-3/ITU-R-HF/releases/download/v14.3/ITURHFProp"
curl -L -o libp533.so "https://github.com/ITU-R-Study-Group-3/ITU-R-HF/releases/download/v14.3/libp533.so"
curl -L -o libp372.so "https://github.com/ITU-R-Study-Group-3/ITU-R-HF/releases/download/v14.3/libp372.so"
chmod +x ITURHFProp

# Download source for Data files
curl -L -o source.tar.gz "https://github.com/ITU-R-Study-Group-3/ITU-R-HF/archive/refs/tags/v14.3.tar.gz"
tar -xzf source.tar.gz
mv ITU-R-HF-14.3/Data .
mv ITU-R-HF-14.3/IonMap .

# Set environment variables
export ITURHFPROP_PATH=$(pwd)/ITURHFProp
export ITURHFPROP_DATA=$(pwd)
export LD_LIBRARY_PATH=$(pwd):$LD_LIBRARY_PATH

# Run service
npm install
npm start

Integration with OpenHamClock

In your OpenHamClock server.js, add:

const ITURHFPROP_SERVICE = process.env.ITURHFPROP_URL || 'http://localhost:3001';

app.get('/api/propagation', async (req, res) => {
  const { deLat, deLon, dxLat, dxLon } = req.query;
  
  try {
    const response = await fetch(
      `${ITURHFPROP_SERVICE}/api/bands?txLat=${deLat}&txLon=${deLon}&rxLat=${dxLat}&rxLon=${dxLon}`
    );
    const data = await response.json();
    res.json(data);
  } catch (err) {
    // Fallback to built-in estimation
    res.json(calculateFallbackPropagation(deLat, deLon, dxLat, dxLon));
  }
});

Performance

  • Cold start: ~5 seconds (Docker container initialization)
  • Prediction time: 100-300ms per calculation
  • 24-hour forecast: 3-7 seconds

Technical Details

ITU-R P.533-14

The prediction model accounts for:

  • F2-layer propagation (main HF mode)
  • E-layer propagation
  • Sporadic-E when applicable
  • D-layer absorption
  • Ground wave (short paths)
  • Antenna gains
  • Man-made noise levels
  • Required SNR and reliability

Limitations

  • Single-hop paths only (< 4000 km optimal)
  • Does not predict sporadic-E openings
  • Monthly median predictions (not real-time ionospheric conditions)

For real-time enhancement, combine with ionosonde data from KC2G/GIRO network.

License

This service wrapper is MIT licensed.

ITURHFProp is provided by ITU-R Study Group 3 - see ITU-R-Study-Group-3/ITU-R-HF for details.

Credits

  • ITURHFProp by ITU-R Study Group 3 - The core prediction engine
  • ITU-R P.533-14 - International Telecommunication Union recommendation
  • Chris Behm & George Engelbrecht - Original ITURHFProp developers
  • OpenHamClock - Integration target

73 de OpenHamClock contributors

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