ChaosMagPy: Evaluate the CHAOS geomagnetic field model

1. Introduction

ChaosMagPy is a simple Python package for evaluating the [CHAOS-7](http://www.spacecenter.dk/files/magnetic-models/CHAOS-7/) geomagnetic field model.

Install:

pip install chaosmagpy

Documentation: ChaosMagPy documentation — ChaosMagPy 0.4 documentation

2. Reference

Finlay, C. C., Kloss, C., Olsen, N., Hammer, M. D., Tøffner-Clausen, L., Grayver, A., & Kuvshinov, A. (2020). The CHAOS-7 geomagnetic field model and observed changes in the South Atlantic Anomaly. Earth, Planets and Space, 72(1), 1-31. http://doi.org/10.1186/s40623-020-01252-9

Finlay, C. C., Olsen, N., Kotsiaros, S., Gillet, N., & Tøffner-Clausen, L. (2016). Recent geomagnetic secular variation from Swarm and ground observatories as estimated in the CHAOS-6 geomagnetic field model. Earth, Planets and Space, 68(1), 112. http://doi.org/10.1186/s40623-016-0486-1

Finlay, C. C., Olsen, N., & Tøffner-Clausen, L. (2015). DTU candidate field models for IGRF-12 and the CHAOS-5 geomagnetic field model. Earth, Planets and Space, 67(1), 114. https://doi.org/10.1186/s40623-015-0274-3

Olsen, N., Lühr, H., Finlay, C. C., Sabaka, T. J., Michaelis, I., Rauberg, J., & Tøffner-Clausen, L. (2014). The CHAOS-4 geomagnetic field model. Geophysical Journal International, 197(2), 815-827. http://doi.org/10.1093/gji/ggu033

Olsen, N., Mandea, M., Sabaka, T. J., & Tøffner-Clausen, L. (2010). The CHAOS-3 geomagnetic field model and candidates for the 11th generation IGRF. Earth, planets and space, 62(10), 1. https://doi.org/10.5047/eps.2010.07.003

Olsen, N., Mandea, M., Sabaka, T. J., & Tøffner-Clausen, L. (2009). CHAOS-2—a geomagnetic field model derived from one decade of continuous satellite data. Geophysical Journal International, 179(3), 1477-1487. https://doi.org/10.1111/j.1365-246X.2009.04386.x

Olsen, N., Lühr, H., Sabaka, T. J., Mandea, M., Rother, M., Tøffner-Clausen, L., & Choi, S. (2006). CHAOS—a model of the Earth’s magnetic field derived from CHAMP, Ørsted, and SAC-C magnetic satellite data. Geophysical Journal International, 166(1), 67-75. https://doi.org/10.1111/j.1365-246X.2006.02959.x