Algorithmic Identification of STEVE-SAID Events in Swarm Data

The optical phenomenon known as STEVE is associated with an intense Subauroral Ion Drift (SAID). This subset of events occurs under the following conditions based on in situ measurements: high peak plasma velocities, high electron temperatures, and low plasma densities, all of which are meridionally narrow in extent and occur in the sub-auroral region. This research aims to provide an algorithmic approach to characterize the occurrence of coupled STEVE and SAID to identify such events efficiently with in situ measurements. We present the current iteration of the algorithm which is a peak-finding routine for electron temperature spike identification combined with a cross-correlation metric against plasma density drops. Preliminary results indicate a concentration of high-temperature low-density events in the sub-auroral and polar regions. Future efforts will work towards including ion flows and magnetic fields for additional filtering.