Speaker
Description
To maximise the efficiency of space weather mitigation strategies, forecasting products must not only be accurate and timely but tailored to end-user needs. For understanding and predicting the behaviour of the near-Earth space environment in changing solar wind conditions, physics-based modelling is extremely powerful, though often comes at considerable computational expense, making it generally unsuitable in operational contexts. The Bergen-Imperial Global Geospace (BIGG) project is a collaborative effort to provide a new forecasting service to the ESA Space Weather Service Network. It combines two 3D magnetohydrodynamic (MHD) magnetosphere models, GorgonOps and the Space Weather Modelling Framework (SWMF). Both have been optimised to run in faster than real time using only modest computational resources. Taking real time solar wind measurements at L1 as simulation inputs, the two models run simultaneously, creating forecasting products including magnetopause standoff distance, Kp, and dB/dt at a range of synthetic ground stations. In this presentation, we will demonstrate the newly developed BIGG system. The interactive dashboard has been designed with ease of user experience in mind, while the API service allows users to retrieve the latest forecast instantly from a command-line interface. The multi-model federated approach is such that it can be expanded to incorporate new contributors, further increasing forecast diversity and redundancy to ensure reliable service provision to Europe and beyond. The BIGG forecasts are currently demonstration products in ESA’s Geomagnetic Conditions Expert Service Centre (G-ESC).
| Do you plan to attend in-person or online? | In-person |
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