Detection of ionospheric disturbances with a sparse GNSS network in simulated near-real time Mw 7.8 and Mw 7.5 Kahramanmaraş earthquake sequence.

• Tác giả: A Komjáthy, S Krishnamoorthy, F Luhrmann, L Martire, J Park, W-K Wong
• Ngôn ngữ: eng
• Ký hiệu phân loại: 618.172 *Menstruation disturbances
• Thông tin xuất bản: United States : GPS solutions , 2025
• Bộ sưu tập: NCBI
• ID: 675806

Tóm tắt

UNLABELLED: On February 6, 2023 the Kahramanmaraş Earthquake Sequence caused significant ground shaking and catastrophic losses across south-central Türkiye and northwest Syria. These seismic events produced ionospheric perturbations detectable in Global Navigation Satellite System (GNSS) total electron content (TEC) measurements. This work aims to develop and incorporate a near-real-time (NRT) ionospheric disturbance detection method into JPL's GUARDIAN system. Our method uses a Long Short-Term Memory (LSTM) neural network to detect anomalous ionospheric behavior, such as co-seismic ionospheric disturbances among others. Our method detected an anomalous signature after the second SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10291-024-01808-2.