Abstract
The ionospheric delay must be modeled and analyzed as one of the main error sources affecting the Global Navigation Satellite Systems (GNSS). To make up for the absence of open-source software in ionospheric modeling, a multi-system global and regional ionospheric modeling software named M_GIM is introduced, produced based on the M_DCB, a GNSS satellite and receiver differential code biases estimating software, and redeveloped in MATLAB 2019b. The conventional dual-frequency carrier-to-code leveling (DFCCL) method is used in M_GIM, and up to quad-system (GPS/GLONASS/Galileo/BDS) observations can be processed. After a series of experiments, the reliability of the software is evaluated, which verifies that the established global and regional ionospheric models have similar accuracy to most of the individual ionosphere associate analysis centers (IAACs) final and rapid global ionosphere map (GIM) products. Using this software, one can easily establish a reliable temporal and spatial variation model of the ionosphere, aiding ionosphere-related space weather research and precise navigation and positioning.
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Data availability
Most of the data used in the experiments can be downloaded from the IGS data center of Wuhan University (ftp://igs.gnsswhu.cn/), the National Institute of Geographic and Forest Information Institute of France (ftp://igs.ign.fr/), as well as NASA’s Crustal Dynamics Data Information System (ftp://cddis.nasa.gov/).
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Acknowledgements
This software is reproduced from M_DCB, we are grateful to Jin et al. (2012) for their early work. We would like to thank the IGS, CODE, CAS, WHU, IGN, etc., for providing GNSS observations and products. This work is sponsored by the National Natural Science Foundation of China (42274030), the Shanghai Natural Science Foundation (20ZR1462000), and the Open Research Fund Program of LIESMARS (Grant No. 19R02).
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Zhou, C., Yang, L., Li, B. et al. M_GIM: a MATLAB-based software for multi-system global and regional ionospheric modeling. GPS Solut 27, 42 (2023). https://doi.org/10.1007/s10291-022-01370-9
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DOI: https://doi.org/10.1007/s10291-022-01370-9