Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large Storms
Abstract During geomagnetic storms rapid magnetic variations cause large, sharp enhancements of the magnetic and geoelectric field at mid‐latitudes. These present a potential hazard to grounded technology such as high voltage transformers, pipelines and railway systems. Spatiotemporal quantification...
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Wiley
2021-09-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2021SW002772 |
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| author | L. Orr S. C. Chapman C. D. Beggan |
| author_facet | L. Orr S. C. Chapman C. D. Beggan |
| author_sort | L. Orr |
| collection | DOAJ |
| description | Abstract During geomagnetic storms rapid magnetic variations cause large, sharp enhancements of the magnetic and geoelectric field at mid‐latitudes. These present a potential hazard to grounded technology such as high voltage transformers, pipelines and railway systems. Spatiotemporal quantification can provide insight into the magnitude and configuration of their potential hazard. We use the Haar wavelet transform to localize in time and frequency the storm‐time response in both European ground‐based magnetometer measurements and modeled geomagnetically induced currents (GICs) from the high voltage grid of Great Britain (GB). Wavelet cross‐correlation of the GIC in the grounded nodes is then used to build a time‐varying network of GIC flow around the GB grid during storms including the 2003 Halloween storm. We find a highly intermittent (few tens of minutes duration) long‐range coherent response that can span the entire physical grid at most intense times. The spatial pattern of response seen in the GIC flow network does not simply follow that of the amplitude of the rate of change of B field. Coherent response is excited across spatially extended clusters comprised of a subset of nodes that are highly connected to each other, with a tendency for east‐west linkages following that of the physical grid, simultaneous with the overhead presence of the auroral electrojet and the inducing component of the magnetic field. This can quantify the spatial and temporal location of increased hazard in specific regions during large storms by including effects of both the geophysical and engineering configuration of the high voltage grid. |
| format | Article |
| id | doaj-art-ed1cd314a2544599a62827bc96bef3c9 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2021-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-ed1cd314a2544599a62827bc96bef3c92025-01-14T16:26:53ZengWileySpace Weather1542-73902021-09-01199n/an/a10.1029/2021SW002772Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large StormsL. Orr0S. C. Chapman1C. D. Beggan2Department of Physics Centre for Fusion, Space and Astrophysics University of Warwick Coventry UKDepartment of Physics Centre for Fusion, Space and Astrophysics University of Warwick Coventry UKBritish Geological Survey Edinburgh UKAbstract During geomagnetic storms rapid magnetic variations cause large, sharp enhancements of the magnetic and geoelectric field at mid‐latitudes. These present a potential hazard to grounded technology such as high voltage transformers, pipelines and railway systems. Spatiotemporal quantification can provide insight into the magnitude and configuration of their potential hazard. We use the Haar wavelet transform to localize in time and frequency the storm‐time response in both European ground‐based magnetometer measurements and modeled geomagnetically induced currents (GICs) from the high voltage grid of Great Britain (GB). Wavelet cross‐correlation of the GIC in the grounded nodes is then used to build a time‐varying network of GIC flow around the GB grid during storms including the 2003 Halloween storm. We find a highly intermittent (few tens of minutes duration) long‐range coherent response that can span the entire physical grid at most intense times. The spatial pattern of response seen in the GIC flow network does not simply follow that of the amplitude of the rate of change of B field. Coherent response is excited across spatially extended clusters comprised of a subset of nodes that are highly connected to each other, with a tendency for east‐west linkages following that of the physical grid, simultaneous with the overhead presence of the auroral electrojet and the inducing component of the magnetic field. This can quantify the spatial and temporal location of increased hazard in specific regions during large storms by including effects of both the geophysical and engineering configuration of the high voltage grid.https://doi.org/10.1029/2021SW002772space weatherground induced currentsnetworkswavelets |
| spellingShingle | L. Orr S. C. Chapman C. D. Beggan Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large Storms Space Weather space weather ground induced currents networks wavelets |
| title | Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large Storms |
| title_full | Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large Storms |
| title_fullStr | Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large Storms |
| title_full_unstemmed | Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large Storms |
| title_short | Wavelet and Network Analysis of Magnetic Field Variation and Geomagnetically Induced Currents During Large Storms |
| title_sort | wavelet and network analysis of magnetic field variation and geomagnetically induced currents during large storms |
| topic | space weather ground induced currents networks wavelets |
| url | https://doi.org/10.1029/2021SW002772 |
| work_keys_str_mv | AT lorr waveletandnetworkanalysisofmagneticfieldvariationandgeomagneticallyinducedcurrentsduringlargestorms AT scchapman waveletandnetworkanalysisofmagneticfieldvariationandgeomagneticallyinducedcurrentsduringlargestorms AT cdbeggan waveletandnetworkanalysisofmagneticfieldvariationandgeomagneticallyinducedcurrentsduringlargestorms |