Recent work at the World Data Centre for Geomagnetism (Edinburgh)

Observatory data holdings at the World Data Centre for Geomagnetism (Edinburgh) www.wdc.bgs.ac.uk include minute, hourly and annual mean values of the geomagnetic field from over 500 observatories since the early 19th century. We describe ongoing maintenance of this important data resource, data-checking procedures developed with global modelling in mind, and some recent additions and corrections

Estimating the extremes in European geomagnetic activity

Rapidly changing geomagnetic field variations constitute a natural hazard, for example in navigation and, through geomagnetically induced currents, to power grids and pipeline networks. To understand this hazard we have continuous magnetic measurements across the world for typically less than 100 years. Much of the older data is also in analogue form, or is only available digitally as hourly or daily magnetic indices or mean levels. So it may not yet be clear what the true extremes in geomagnetic variations are, particularly on time scales - seconds to minutes - that are relevant for estimating the hazard to technological systems. We therefore use a number of decades of one minute samples of magnetic data from observatories across Europe, together with the technique of 'extreme value statistics’ to explore estimated maxima in field variations in the horizontal strength and in the declination of the field. These maxima are expressed in terms of the variations that might be observed once every 100 and 200 years. We also examine the extremes in one-minute rates of change of these field components over similar time scales. The results should find application in both hazard assessment for technologies and in navigation applications. The results can also be used to more rigorously answer the often-asked question: “just how large can geomagnetic storms and field variations be?

New K-Indices from South Atlantic Observatories : Port Stanley and Ascension Island

Port Stanley and Ascension Island magnetic observatories have been in continuous operation since the early 1990's. These remote South Atlantic locations provide much needed coverage in the global network of geomagnetic observatories and help to monitor the South Atlantic Anomaly. To enhance the production of longitude-sector planetary magnetic activity indices there is a requirement for local 3-hourly K-index values from Port Stanley (PST) observatory. We describe the process followed to establish an automated routine for the derivation of the indices and we assess the congruence of the indices to those available from other suitably located observatories. A similar procedure has been followed for Ascension Island observatory although this is not shown here

World Data Centre for Geomagnetism, Edinburgh

A summary of recent challenges, difficulties and success at the World Data Centre for Geomagnetism over the past two years. A brief summary of our activities and best practices is given

Geomagnetic extreme statistics for Europe

Rapidly changing geomagnetic field variations constitute a natural hazard, for example to grounded power grids and pipeline networks. To understand this hazard we have continuous magnetic measurements across the world for typically less than 100 years. Much of the older data is also in analogue form, or is only available digitally as hourly or daily magnetic indices or mean levels. So it may not yet be clear what the true extremes in geomagnetic variation are, particularly on time scales - seconds to minutes - that are relevant for estimating the hazard to technological systems. We therefore use a number of decades of one minute samples of magnetic data from observatories in Europe, together with the technique of 'extreme value statistics', to explore estimated maxima in field variations in the horizontal strength and in the declination of the field. These maxima are expressed, for example, in terms of the variations that might be observed on time scales of 100 and 200 years. We also examine the extremes in the one-minute rate of change of these field components on similar time scales. The results should find application in hazard assessment and navigation applications

MEME08: A global magnetic field model with satellite data weighting

A new data weighting scheme is introduced for satellite geomagnetic survey data. This scheme allows vector samples of the field to be used at all magnetic latitudes and results in an improved lithospheric model, particularly in the auroral regions. Data weights for 20-second spaced satellite samples are derived from two noise estimators for the sample. Firstly the standard deviation along the 20 seconds of satellite track, centred on each sample, is computed as a measure of local magnetic activity. Secondly a larger-scale noise estimator is defined in terms of a ‘local area vector activity’ (LAVA) index for the sample. This is derived from activity estimated from the geographically nearest magnetic observatories to the sample point. Weighting of satellite data by the inverse-sum-of-squares of these noise estimators leads to a robust model of the field (called ‘Model of Earth’s Magnetic Environment 2008, or ‘MEME08’ - to rhyme with ‘beam’) to about spherical harmonic degree 60. In particular we find that vector data may be used at all latitudes and that there is no need to use particularly complex model parameterizations, regularisation, or prior data correction to remove estimates of un-modelled source fields

Modelling the effects of space weather at the Earth’s surface : a UK geoelectric field model

Geomagnetically Induced Currents (GIC), which can flow in technological systems such as power transmission grids, are a consequence of the geoelectric field induced at the surface of the Earth during geomagnetic storms. This poster describes the development of a new 3D 'Thin-Sheet' geoelectric field model which covers the whole of the UK and includes the influence of the surrounding shelf seas. The model can be used to compute the response of the geoelectric field to geomagnetic storms. In conjunction with a power grid model this enables us to estimate GIC flow in power networks. As an example, we consider the major geomagnetic storm of October 2003. It is envisaged that the model will form one component of a near real time GIC warning package which is currently being developed by the British Geological Survey (BGS) in conjunction with Scottish Power Plc. The magnetic field associated with the induced geoelectric field is easily calculated. Thus, the electric field model may also be of interest to those studying the effect of internal (induced) geomagnetic field signals on the total measured geomagnetic field

Guidebook for Clinical Supervision in Nebraska

A brief, practical guide to clinical mental health supervision for supervisors and supervisees of individuals seeking licensure or certifications in Nebraskahttps://digitalcommons.unomaha.edu/socialworkfacbooks/1006/thumbnail.jp

World Data Centre for Geomagnetism, Edinburgh

The World Data Centre for Geomagnetism, Edinburgh services the needs of the geomagnetism community. We collate, archive and distribute data from over 500 geomagnetic observatories worldwide. These data are used to create global models of the Earth’s magnetic field and to aid research into the hazard from space weather. Recently the geomagnetism community has been developing standards for metadata and data publishing and we are working to build better practices within our WDC to align with these. Over the next five years our main aims will include improving our data management, ensuring timely distribution of submitted data and modernising our user interface