2026-04-17T19:06:09Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3862292026-02-06T03:24:47Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Gulyaeva, Tamara L. author Shubin, Valentin author Haralambous, Haris author Hernández Pajares, Manuel author Stanislawska, Iwona author 2022-01 For the first time, we reconstructed global distribution of both the total electron content disturbance W index and TEC values for eight extreme storms (Dst < -250 nT) occurred before the epoch of GNSS observations in solar cycle 22. We created a model based on superposed epoch analysis of the training set of GIM-W maps of nine SC23 extreme storms. Global GIM-W index maps are calculated from 15-min UPC GIM-TEC (UQRG) as the logarithmic deviation of instantaneous TEC from the monthly median GIMMTEC empirical model. We introduced the storm phase metrics for main and recovery phases of the positive ionosphere disturbance (the WU-index), the negative disturbance (the WL-index) and the ring current (the Dst-index). The probabilistic forecasting model (Pmodel) for SC22 GIM-Wx maps is developed based on GIM-W maps of the SC23 training set. The storm phase distribution Fx for the eight SC22 extreme storms is calculated from the proxy time shift (lag) of peak WUmax and WLmin relative to Dstmin. Proxy GIM-TECx maps are calculated by adjusting the GIM-MTEC median to the GIM-Wx prediction. Validation of the technique based on data of UPC and JPL for four intense ionospheric storms showed a root-mean-square error less than 3 TECU. The proposed technique can be applied for both the past and future forecasting of GIM-W index and GIM-TEC maps. Peer Reviewed Postprint (published version) Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències Geophysics Geofísica Classificació AMS::86 Geophysics Generation of proxy GIM-TEC for extreme storms before the Era of GNSS observations