摘要：AbstractThe analysis techniques and the corresponding software suiteGRITI(General Resource for Ionospheric Transient Investigations) are described.GRITIwas used to develop the Dinsmore et al. results, which found a novel classification of traveling ionospheric disturbances (TIDs) called semi-coherent ionospheric pulsing structures (SCIPS). The any-geographic range (local-to-global), any-azimuth angle keogram algorithm used to analyze SCIPS in that work is detailed. The keogram algorithm inGRITIis applied to detrended vTEC (vertical Total Electron Content) data, called delta-vTEC herein, in Dinsmore et al. and the follow-on paper Dinsmore et al. , but is also applicable to any other two-dimensional dataset that evolves through time.GRITI'sdelta-vTEC processing algorithm is also described in detail, which is used to provide the delta-vTEC data for Dinsmore et al. .•We detail a keogram algorithm for analysis of delta-vTEC data in Dinsmore et al. and the follow-on paper Dinsmore et al. .•We detail a delta-vTEC processing algorithm that converts vTEC data to delta-vTEC through detrending that is used to provide the delta-vTEC data used in Dinsmore et al. .•GRITIis an open-source Python 3 analysis codebase that encompasses the delta-vTEC processing and keogram algorithms.GRITIhas additional support for other data sources and is designed for flexibility in adding new data sources and analysis methods.GRITIis available for download at:https://github.com/dinsmoro/GRITI.Graphical AbstractDisplay Omitted
