TY - JOUR
T1 - Including the Temporal Dimension in the SECS Technique
AU - Marsal, S.
AU - Torta, J. M.
AU - Pavón-Carrasco, F. J.
AU - Blake, S. P.
AU - Piersanti, M.
N1 - Funding Information:
These results are part of the project CGL2017‐82169‐C2‐1‐R “Holistic characterization of GIC in the Iberian Peninsula: from the analysis of magnetospheric and ionospheric currents to the influence of the lithosphere (IBERGIC)” funded by FEDER/Ministerio de Ciencia, Innovación y Universidades ‐ Agencia Estatal de Investigación. This research is also part of POLARCSIC activities. Some of the results presented in this paper rely on data collected at magnetic observatories; we thank the national institutes that support them, INTERMAGNET for promoting high standards of magnetic observatory practice ( www.intermagnet.org ); the 210° MM Magnetic Observation Project ( http://stdb2.stelab .nagoya‐ u.ac.jp /mm210/); the Canadian Array for Realtime Investigations of Magnetic Activity (CARISMA; http://www.carisma.ca/ , formerly CANOPUS); the institutes who maintain the IMAGE Magnetometer Array ( https://space.fmi.fi/image/www/index.php ; formerly EISCAT): Tromsø Geophysical Observatory of UiT the Arctic University of Norway (Norway), Finnish Meteorological Institute (Finland), Institute of Geophysics Polish Academy of Sciences (Poland), GFZ German Research Centre for Geosciences (Germany), Geological Survey of Sweden (Sweden), Swedish Institute of Space Physics (Sweden), and Sodankylä Geophysical Observatory of the University of Oulu (Finland); DTU Space of Denmark ( http://www.space.dtu.dk/English/Research/Scientific_data_and_models/Magnetic_Ground_Stations.aspx ); the Lancaster University for maintaining the SAMNET magnetometer chain; and the SUPERMAG Organization ( http://supermag.jhuapl.edu/mag/? ) for providing the data from the geomagnetic stations that these institutes and organizations maintain and/or provide. The original data used in this work are available from the cited institutions/websites or contact people therein. The Space Weather Modeling Framework is maintained by the University of Michigan Center for Space Environment Modeling and can be obtained at its website ( http://csem.engin.umich.edu/tools/swmf/ ). S. M. and J. M. T. were supported by the research project CGL2017‐82169‐C2‐1‐R; F. J. P‐C. is supported by the project PGC2018‐099103‐A‐I00 of the Spanish Ministry of Science, Innovation, and Universities; S. P. B's effort was supported by the NASA's Living With a Star program (17‐LWS17_2‐0042); M. P. thanks the Italian Space Agency for the financial support under the contract ASI”LIMADOU scienza” n° 2016‐16‐H0v. Data sets for this research are available in this in‐text data citation reference: Marsal et al. ( 2020 ) (with license CC‐BY‐ND). The authors thank the comments of two anonymous reviewers. The authors declare no conflicts of interest.
Funding Information:
These results are part of the project CGL2017-82169-C2-1-R “Holistic characterization of GIC in the Iberian Peninsula: from the analysis of magnetospheric and ionospheric currents to the influence of the lithosphere (IBERGIC)” funded by FEDER/Ministerio de Ciencia, Innovación y Universidades - Agencia Estatal de Investigación. This research is also part of POLARCSIC activities. Some of the results presented in this paper rely on data collected at magnetic observatories; we thank the national institutes that support them, INTERMAGNET for promoting high standards of magnetic observatory practice (www.intermagnet.org); the 210° MM Magnetic Observation Project (http://stdb2.stelab.nagoya-u.ac.jp/mm210/); the Canadian Array for Realtime Investigations of Magnetic Activity (CARISMA; http://www.carisma.ca/, formerly CANOPUS); the institutes who maintain the IMAGE Magnetometer Array (https://space.fmi.fi/image/www/index.php; formerly EISCAT): Tromsø Geophysical Observatory of UiT the Arctic University of Norway (Norway), Finnish Meteorological Institute (Finland), Institute of Geophysics Polish Academy of Sciences (Poland), GFZ German Research Centre for Geosciences (Germany), Geological Survey of Sweden (Sweden), Swedish Institute of Space Physics (Sweden), and Sodankylä Geophysical Observatory of the University of Oulu (Finland); DTU Space of Denmark (http://www.space.dtu.dk/English/Research/Scientific_data_and_models/Magnetic_Ground_Stations.aspx); the Lancaster University for maintaining the SAMNET magnetometer chain; and the SUPERMAG Organization (http://supermag.jhuapl.edu/mag/?) for providing the data from the geomagnetic stations that these institutes and organizations maintain and/or provide. The original data used in this work are available from the cited institutions/websites or contact people therein. The Space Weather Modeling Framework is maintained by the University of Michigan Center for Space Environment Modeling and can be obtained at its website (http://csem.engin.umich.edu/tools/swmf/). S. M. and J. M. T. were supported by the research project CGL2017-82169-C2-1-R; F. J. P-C. is supported by the project PGC2018-099103-A-I00 of the Spanish Ministry of Science, Innovation, and Universities; S. P. B's effort was supported by the NASA's Living With a Star program (17-LWS17_2-0042); M. P. thanks the Italian Space Agency for the financial support under the contract ASI”LIMADOU scienza” n° 2016-16-H0v. Data sets for this research are available in this in-text data citation reference: Marsal et al. (2020) (with license CC-BY-ND). The authors thank the comments of two anonymous reviewers. The authors declare no conflicts of interest.
Publisher Copyright:
©2020. The Authors.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - The equivalent source method of Spherical Elementary Current Systems (SECS) has contributed valuable results for spatial magnetic interpolation purposes where no observations are available, as well as for modeling equivalent currents both in the ionosphere and in the subsurface, thus providing a separation between external and internal sources. It has been successfully applied to numerous Space Weather (SW) events, whereas some advantages have been reported over other techniques such as Fourier or Spherical (Cap) Harmonic Analysis. Although different modalities of SECS exist (either 1-D, 2-D, or 3-D) depending on the number of space dimensions involved, the method provides a sequence of instantaneous pictures of the source current. We present an extension of SECS consisting in the introduction of a temporal dependence in the formulation based on a cubic B-splines expansion. The technique thus adds one dimension, becoming 4-D in general (e.g., 3-D + t), and its application is envisaged for, though not restricted to, the analysis of past events including heterogeneous geomagnetic data sets, such as those containing gaps, different sampling rates or diverse data sources. A synthetic model based on the SW Modeling Framework is used to show the efficacy of the extended scheme. We apply this method to characterize the current systems of past and significant SW events producing geomagnetically induced currents, which we exemplify with an outstanding geomagnetic sudden commencement occurred on 24 March 1991.
AB - The equivalent source method of Spherical Elementary Current Systems (SECS) has contributed valuable results for spatial magnetic interpolation purposes where no observations are available, as well as for modeling equivalent currents both in the ionosphere and in the subsurface, thus providing a separation between external and internal sources. It has been successfully applied to numerous Space Weather (SW) events, whereas some advantages have been reported over other techniques such as Fourier or Spherical (Cap) Harmonic Analysis. Although different modalities of SECS exist (either 1-D, 2-D, or 3-D) depending on the number of space dimensions involved, the method provides a sequence of instantaneous pictures of the source current. We present an extension of SECS consisting in the introduction of a temporal dependence in the formulation based on a cubic B-splines expansion. The technique thus adds one dimension, becoming 4-D in general (e.g., 3-D + t), and its application is envisaged for, though not restricted to, the analysis of past events including heterogeneous geomagnetic data sets, such as those containing gaps, different sampling rates or diverse data sources. A synthetic model based on the SW Modeling Framework is used to show the efficacy of the extended scheme. We apply this method to characterize the current systems of past and significant SW events producing geomagnetically induced currents, which we exemplify with an outstanding geomagnetic sudden commencement occurred on 24 March 1991.
KW - Modeling
KW - Spherical Elementary Current Systems (SECSs)
KW - geomagnetism
KW - ionosphere
KW - space weather
UR - http://www.scopus.com/inward/record.url?scp=85092800063&partnerID=8YFLogxK
U2 - 10.1029/2020SW002491
DO - 10.1029/2020SW002491
M3 - Article
AN - SCOPUS:85092800063
SN - 1542-7390
VL - 18
JO - Space Weather
JF - Space Weather
IS - 10
M1 - e2020SW002491
ER -