Japan Geoscience Union Meeting 2024

Presentation information

[E] Poster

P (Space and Planetary Sciences ) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM11] Space Weather and Space Climate

Mon. May 27, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Ryuho Kataoka(National Institute of Polar Research), Mary Aronne(NASA Goddard Space Flight Center), Yumi Bamba(National Institute of Information and Communications Technology), Antti Pulkkinen(NASA Goddard Space Flight Center)

5:15 PM - 6:45 PM

[PEM11-P01] Successes, Misses, and False Alarms in Predicting Global/Seasonal Equatorial Plasma Bubble Occurrence Rates Using the ROCSAT Data

*Shin-Yi Su1, Hsu-Hui Ho2, Chi-Kwan Chao1, Chao Han Liu3 (1.National Central University, 2.Central Weather Bureau, 3.Academia Sinica)

Keywords:Global/Seasonal Equatorial Plasma Bubble (EPB) occurrences, Success, Misses, and False Alarms in Predicting EPB Occurrences, Day-to-Day Variability of EPB Occurrences

The density variations at a constant height such as observed by the circularly orbiting ROCSAT-1 spacecraft are studied to construct a “prediction model” for the occurrences, no-occurrences, misses and false alarms of the global/seasonal equatorial plasma bubble (EPB) occurrences. This global prediction model is different from previous studies that merely provide the seasonal EPB occurrence probability at a local time sector or globally. The current model uses the density increment above the seasonal mean to predict the EPB occurrences to construct a contingency table that counts the numbers of the results in predicting EPB occurrences, no-occurrences, misses, and false alarms. Different thresholds of density increment are used for the criteria in the prediction to obtain an optimal result for the prediction model. The optimal model for predicting the global EPB occurrences varies between 75% and 85% for any season between 1999 and 2004 during the moderate to high solar activity period. The probabilities of misses and false alarms in the prediciton model are then studied for the causes of so-called day-to-day variability of EPB occurrences.