Dec 21, 2024 · pyGeoMag is an implementation written in Python of the World Magnetic Model (WMM), specifically to be used in lightweight versions (like MicroPython and CircuitPython). From NOAA The World Magnetic Model (WMM) is the standard model for navigation, attitude, and heading referencing systems using the geomagnetic field.

Feb 6, 2025 · MagPy provides methods for data format conversion, plotting and mathematical procedures with specifically geomagnetic analysis routines such as basevalue and baseline calculation and database handling. Among the supported data formats are ImagCDF, IAGA-02, WDC, IMF, IAF, BLV, and many more.

MagPy provides methods for data format conversion, plotting and mathematical procedures with specifically geomagnetic analysis routines such as basevalue and baseline calculation and database handling. Among the supported data formats are ImagCDF, IAGA-02, WDC, IMF, IAF, BLV, and many more.

May 20, 2021 · How do I plot coordinates in csv on the map from from 'natural_earth" using cartopy and matplotlib?

Aug 19, 2017 · Step-by-step guide to extract data from the 12th Generation of the International Geomagnetic Reference Field in Python Programming Language.

Calculate the geomagnetic declination at the Space Needle in Seattle, WA: >>> from pygeomag import GeoMag >>> geo_mag = GeoMag( coefficients_file = " wmm/WMM_2025.COF " ) >>> result = geo_mag.calculate( glat = 47.6205 , glon = - 122.3493 , alt = 0 , time = 2025.25 ) >>> print (result.d) 15.065629638512593

Pure Python code to calculate IGRF model predictions. The IGRF is a model of the Earth's main magnetic field that is updated every 5 years. References: IAGA V-MOD WG and main IGRF website: https://www.ncei.noaa.gov/products/international-geomagnetic-reference …

The World Magnetic Model High Resolution (WMMHR) is an advanced geomagnetic field model that provides a more detailed, accurate depiction of the geomagnetic field than the World Magnetic Model (WMM). WMMHR2025 includes core field and secular variation coefficients for degrees n = 1 to 15.

'Hmin': 0, 'Hmax': 40000, 'Hcont': 5000,} # Work out the best layout of the plots in a subfigure e.g. 4 x 4 # using the sqrt and remainder nrows = 4 ncols = 2 # Set up a lat/long grid every 5 degrees num_lon = 73 num_lat = 35 longs = np.linspace(-180, 180, num_lon) lats = np.linspace(-90, 90, num_lat) RREF = 6371.2 # standard geomagnetic Earth ...

For simple examples on converting between AACGM and geographic coordinates and AACGM and MLT, see Overview → Quick Start. The Python package also installs a command called aacgmv2 with several sub-commands that allow conversion between geographic/geodetic and AACGM-v2 magnetic coordinates (mlat, mlon, and mlt).