Magnetic observatory data products for space weather operations
Clarke, Ellen; Richardson, Gemma; Thomson, Alan; Baillie, Orsi; Reay, Sarah; Humphries, Thomas; Williamson, John; Billingham, Laurence. 2017 Magnetic observatory data products for space weather operations. [Poster] In: European Space Weather Week 14, Oostende, Belguim, 27th November - 1st Dec 2017. (Unpublished)
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Abstract/Summary
Continuous monitoring of geomagnetic activity levels and reliable real-time dissemination of the information 24/7 is required to help ensure the UK government fulfil their obligations associated with the space weather national risk register entry. BGS, as a long-term operator of magnetic observatories carries out this role and provides advice on geomagnetic hazard on a daily basis. This includes human-derived predictions of geomagnetic activity levels for up to three days ahead made on a daily basis, as well as more continuous computer-based predictions of 3-hourly and daily activity indices. These local and global activity forecasts and the associated nowcasts, whether they are of well-established indices or other purpose-built parameters, all rely on good quality, accurate and reliable real-time observatory data as the primary essential ingredient for derivation. Near real-time processing of data from the BGS observatories are supplemented by data from other INTERMAGNET standard observatories for the derivation of global parameters. This poster includes a summary of past and current work and highlights the scientific development behind some of these operations, including the search for the most suitable parameter and cadence of that parameter for monitoring geomagnetically induced currents for the power industry. Evaluation of the human forecasts and early attempts to use machine learning prediction algorithms are presented, with some thought given to how they can be incorporated into existing operations.
Item Type: | Publication - Conference Item (Poster) |
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NORA Subject Terms: | Earth Sciences Space Sciences |
Date made live: | 16 Aug 2018 08:06 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/520720 |
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