Substorm Onsets and Phases (SOPHIE), 1990-2022, EPT 80

DOI

Outputs from the SOPHIE (Forsyth et al., 2015, 10.1002/2015JA021343) substorm onset and phase detection technique for SuperMAG data between 1990 and 2022 (inclusive).This version has been updated in to include the MLT and MLAT of the SuperMAG station providing the SML data and as well as the change of SML during the phase (SML_change) value of SML at the end of each phase (SML_min)This file provides the start times of growth/energy input, expansion and recovery phases determined by SOPHIE for an EPT of 80.Data generated for "A Statistical Study of the Properties of and Geomagnetic Responses to Large, Rapid Southward Turnings of the Interplanetary Magnetic Field" by Lazzeri et al., submitted to J. Geophys. Res.The data is presented in 7 columns: -The date and time of the first data point in the given phase (YYYY/MM/DD-HH:MM:SS)The phase number (1 for growth/energy input, 2 for expansion, 3 for recovery)A flag indicating that the rate of change of SMU is similar to that of SML in the expansion phase (0 for no flag, 1 for flag)MLT of the active SML station at the shown timeMLAT of the active SML station at the shown timeThe change in SML from the start of the phase to the end of the phase (i.e. from the time given on that line to the time given on the following line)The value of SML at the end of the phase.The original SuperMAG indices can be downloaded from https://supermag.jhuapl.edu/

Identifier
DOI https://doi.org/10.5522/04/25671921.v1
Related Identifier HasPart https://ndownloader.figshare.com/files/45803754
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/25671921
Provenance
Creator Forsyth, Colin; Lazzeri, Chiara; Samsonov, Andrei
Publisher University College London UCL
Contributor Figshare
Publication Year 2024
Rights https://creativecommons.org/licenses/by-nc-sa/4.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Dataset
Discipline Other