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Lightweight C++ header-only library for calculating the magnetic field on earth given geocentric cartesian coordinates using the World Magnetic Model(WMM). Compatible with Arduino.

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XYZgeomag

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Lightweight C++ header-only library for calculating the magnetic field on earth given geocentric cartesian coordinates using the World Magnetic Model(WMM). Compatible with Arduino.

The main function geomag::GeoMag calculates the magnetic field around earth in the International Terrestrial Reference System(ITRS) and uses units of decimal year, meter, and tesla.

Unlike most WMM software, which uses latitude, longitude, and altitude inputs to calculate the North East Down components of the magnetic field, geomag::GeoMag uses geocentric cartesian coordinates as input, and outputs the magnetic field in the same geocentric cartesian coordinate system as the inputs.

If you want to provide geodetic latitude, longitude, and height, and receive the local North East Down components of the magnetic field and the magnetic declination: see the geomag::geodetic2ecef and geomag::magField2Elements example below. Note that latitude and longitude are in units of degrees, and the seven magnetic elements are in units of nanotesla and degrees.

Error

XYZgeomag is within 0.5 nT of the official WMM software.

For more information on the limitations of the WMM model, see: https://www.ngdc.noaa.gov/geomag/WMM/limit.shtml

Performance

XYZgeomag uses single precision floating points. It's designed to minimize ram usage for embedded systems.

Device Speed
Arduino Uno 52 ms
Raspberry Pi Pico 6.5 ms
Teensy 3.6 83 µs
Teensy 4.0 21 µs

Using XYZgeomag

Just download XYZgeomag.hpp and include it. Here is an example Arduino sketch:

#include "XYZgeomag.hpp"
void setup() {
  // put your setup code here, to run once:
  pinMode(1,INPUT);
  Serial.begin(9600);
}

void loop() {
  // put your main code here, to run repeatedly:
  int val= digitalRead(1);
  geomag::Vector in;
  in.x=val+1128529.6885767058f;
  in.y=val+0.0;
  in.z=val+6358023.736329913f;
  geomag::Vector out;
  int starttime=micros();
  int starttimemil=millis();
  out=geomag::GeoMag(2022.5,in,geomag::WMM2020);
  int endtime=micros();
  int endtimemil=millis();
  Serial.print(out.x*1E9);
  Serial.println(" nT x");
  Serial.print(out.y*1E9);
  Serial.println(" nT y");
  Serial.print(out.z*1E9);
  Serial.println(" nT z");
  Serial.print("time in micro seconds: ");
  Serial.println(endtime-starttime);
  Serial.print("time in milli seconds: ");
  Serial.println(endtimemil-starttimemil);
  delay(2000);
}

If you have a position in latitude, longitude, and height, you can convert it to geocentric cartesian coordinates with geodetic2ecef. Note that geodetic2ecef uses single precision floats, so it will only be accurate to about 1 meter. You can also convert the magnetic field to the seven magnetic elements in units of nanotesla and degrees.

#include "XYZgeomag.hpp"
void setup() {
  // put your setup code here, to run once:
  pinMode(1,INPUT);
  Serial.begin(9600);
}

void loop() {
  // put your main code here, to run repeatedly:
  int val= digitalRead(1);
  float lat = val + 43.0f; // latitude in degrees
  float lon = val + 75.0f; // longitude in degrees
  float height = val + 305; // height above WGS84 ellipsoid in meters
  geomag::Vector position = geomag::geodetic2ecef(lat,lon,height);
  geomag::Vector mag_field = geomag::GeoMag(2022.5,position,geomag::WMM2020);
  geomag::Elements out = geomag::magField2Elements(mag_field, lat, lon);
  Serial.print(out.north);
  Serial.println(" nT north");
  Serial.print(out.east);
  Serial.println(" nT east");
  Serial.print(out.down);
  Serial.println(" nT down");
  Serial.print(out.horizontal);
  Serial.println(" nT horizontal");
  Serial.print(out.total);
  Serial.println(" nT total");
  Serial.print(out.inclination);
  Serial.println(" deg inclination");
  Serial.print(out.declination);
  Serial.println(" deg declination");
  Serial.println();
  delay(2000);
}

Adding New Coefficents

To add new coefficents, download the new .COF file from https://www.ngdc.noaa.gov/geomag/WMM/DoDWMM.shtml

Add the .COF file to the extras directory.

Then run for example python wmmcodeupdate.py -f WMM2015.COF -f WMM2015v2.COF -f WMM2020.COF -o ../src/XYZgeomag.hpp -n 12 from the extras directory.

In this example, WMM2015.COF , WMM2015v2.COF, and WMM2020.COF are the .COF files to use in src/XYZgeomag.hpp.

Run Tests

In the extras directory.

Compile geomag_test.cpp for example with the command g++ geomag_test.cpp -std=c++14

Run the tests for example with the command ./a.out

To add new models to the test update wmmtestgen.py and run it.

References

Using spherical harmonics algorithm, described in sections 3.2.4 and 3.2.5:

Satellite Orbits Models, Methods and Applications, by Oliver Montenbruck and Eberhard Gill 2000

Using geodetic2ecef algorithm from https://geographiclib.sourceforge.io/

Using coefficients and test points from:

NCEI Geomagnetic Modeling Team and British Geological Survey. 2019. World Magnetic Model 2020. NOAA National Centers for Environmental Information. doi: 10.25921/11v3-da71, 2020, [10 DEC 2019].

Chulliat, A., W. Brown, P. Alken, S. Macmillan, M. Nair, C. Beggan, A. Woods, B. Hamilton, B. Meyer and R. Redmon, 2019, Out-of-Cycle Update of the US/UK World Magnetic Model for 2015-2020: Technical Note, National Centers for Environmental Information, NOAA. doi: 10.25921/xhr3-0t19.

Chulliat, A., S. Macmillan, P. Alken, C. Beggan, M. Nair, B. Hamilton, A. Woods, V. Ridley, S. Maus and A. Thomson, 2015. The US/UK World Magnetic Model for 2015-2020: Technical Report, NOAA National Geophysical Data Center, Boulder, CO, doi: 10.7289/V5TB14V7.

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Lightweight C++ header-only library for calculating the magnetic field on earth given geocentric cartesian coordinates using the World Magnetic Model(WMM). Compatible with Arduino.

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