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TitleDevelopment of a space weather analysis tool
AuthorFiori, R A D; Boteler, D H; Haines, G V; Danskin, D W; Calp, D S
SourceProceedings of ASTRO 2008; 2008 p. 1-12; 1 CD-ROM
Year2008
Alt SeriesEarth Sciences Sector, Contribution Series 20100360
MeetingASTRO 2008; Montreal; CA; April 29 - May 1, 2008
Documentbook
Lang.English
MediaCD-ROM; digital
File formatpdf
Subjectsgeophysics; solar variations; geomagnetism; geomagnetic fields; magnetometer surveys
Illustrationsscreen captures
ProgramTargeted Hazard Assessments in Northern Canada, Public Safety Geoscience
AbstractAssessment of space weather hazards is greatly enhanced by integrating observations from both ground-based and satellite instruments. However, using multiple data types can be clumsy and time consuming as the data formats and visual displays differ between instruments. We introduce the development of a Space Weather Analysis Tool (SWAT) to provide a common mapping base for the simultaneous observation of magnetic-field, electric-field, and particle data measured by a variety of instruments.
The SWAT interface is highly interactive, allowing the user to overlay any number of data sets over a two dimensional map of the Earth using contour and vector plots. The user may add, remove, or edit data sets, rotate, pan or zoom in and out of the viewing window to examine the data in a single frame or run a movie for a selected interval. SWAT is currently capable of analyzing measurements from magnetometers, SuperDARN radars, riometers, and the DMSP, Øersted, and ACE satellites. Fitting of three-dimensional magnetometer measurements of magnetic fields, SuperDARN observations of two-dimensional plasma drifts, and scalar values of riometer absorption levels, is performed based on spherical cap harmonic analysis techniques to create contour plots of the observations.
Combining observations from independent instruments is a powerful method for optimising our analytical capabilities for space weather events. The development of SWAT efficiently serves this purpose.
GEOSCAN ID287408