ASSIMILATION OF GROUND MAGNETOMETER DATA IN GEOSPACE WEATHER PREDICTION MODELS
DOI:
https://doi.org/10.71465/jgs39Keywords:
Geomagnetic indices, Data assimilation, Geospace models, Ground magnetometersAbstract
Ground-based magnetometer data serve as a critical observational resource for real-time monitoring and prediction of geospace weather phenomena. This study investigates the integration of ground magnetometer data into modern geospace weather models to enhance the accuracy of forecasting magnetospheric disturbances such as substorms, geomagnetic storms, and ionospheric currents. Using real-time magnetometer data collected across South Asia, especially from newly deployed Pakistani stations, the study demonstrates improvements in model outputs via assimilation techniques. The research further outlines computational strategies, regional challenges, and future recommendations for building a resilient national geospace weather capability.
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Copyright (c) 2025 Engr. Salman Raza (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in the Journal of Geospace Science (JOGSS) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows others to share, copy, distribute, and adapt the work, provided proper attribution is given to the original author(s) and source.