Observatory Data Products for Space Weather Applications

Clarke, Ellen; Reay, Sarah; Richardson, Gemma; Billingham, Laurence; Baillie, Orsi; Humphries, Thomas; Williamson, John; Thomson, Alan. 2017 Observatory Data Products for Space Weather Applications. [Poster] In: IAGA 13th Scientific Assembly, Cape Town, Cape Town, South Africa, 27 Aug - 1 Sept 2017. British Geological Survey. (Unpublished)

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With the inclusion of space weather on the UK government’s national risk register, continuous monitoring of geomagnetic activity levels and real-time dissemination of the information is essential. 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, IAGA endorsed, 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 can be supplemented by data from other INTERMAGNET standard observatories for the derivation of global parameters. This poster includes a summary of this work and highlights scientific developments behind some of these space weather products, such as forecast evaluation and the value of machine learning prediction algorithms. Difficulties in finding the most suitable parameter and cadence of that parameter for given specific applications are discussed. For example this might be for the monitoring of geomagnetically induced currents for the power industry or for the establishment of a meaningful and useful local alert system for aurorae enthusiasts.

Item Type: Publication - Conference Item (Poster)
NORA Subject Terms: Earth Sciences
Space Sciences
Data and Information
Date made live: 26 Oct 2017 13:24 +0 (UTC)

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