Ionosphere Sounding for Pre-seismic Anomalies Identification (INSPIRE): Results of the Project and Perspectives for the Short-Term Earthquake Forecast

The INSPIRE project was dedicated to the study of physical processes and their effects in ionosphere which could be determined as earthquake precursors together with detailed description of the methodology of ionospheric pre-seismic anomalies definition. It was initiated by ESA and carried out by an international consortium. The full set of key parameters of the ionospheric plasma was selected based on the retrospective analysis of the ground-based and satellite measurements of pre-seismic anomalies. Using this classification the multi-instrumental database of worldwide relevant ionospheric measurements (ionosonde and GNSS networks, LEO-satellites with in situ probes including DEMETER and FORMOSAT/COSMIC ROC missions) was developed for the time intervals related to selected test cases. As statistical processing shows, the main ionospheric precursors appear approximately 5 days before the earthquake within the time interval of 30 days before and 15 days after an earthquake event. The physical mechanisms of the ionospheric pre-seismic anomalies generation from ground to the ionosphere altitudes were formulated within framework of the Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) model. The processes of precursor's development were analyzed starting from the crustal movements, radon emission and air ionization, thermal and atmospheric anomalies, electric field and electromagnetic emissions generation, variations of the ionospheric plasma parameters, in particular vertical TEC and vertical profiles of the electron concentration. The assessment of the LAIC model performance with definition of performance criteria for earthquake forecasting probability has been done in statistical and numerical simulation domains of the Global Electric Circuit. The numerical simulations of the earthquake preparation process as an open complex system from start of the final stage of earthquake preparation up to the final point-main shock confirms that in the temporal domain the ionospheric precursors are one of the most late in the sequence of precursors. The general algorithm for the identification of the ionospheric precursors was formalized which also takes into account the external Space Weather factors able to generate the false alarms. The importance of the special stable pattern called the "precursor mask" was highlighted which is based on self-similarity of pre-seismic ionospheric variations. The role of expert decision in pre-seismic anomalies interpretation for generation of seismic warning is important as well. The algorithm performance of the LAIC seismo-ionospheric effect detection module has been demonstrated using the L'Aquila 2009 earthquake as a case study. The results of INSPIRE project have demonstrated that the ionospheric anomalies registered before the strong earthquakes could be used as reliable precursors. The detailed classification of the pre-seismic anomalies was presented in different regions of the ionosphere and signatures of the pre-seismic anomalies as detected by ground and satellite based instruments were described what clarified methodology of the precursor's identification from ionospheric multi-instrumental measurements. Configuration for the dedicated multi-observation experiment and satellite payload was proposed for the future implementation of the INSPIRE project results. In this regard the multi-instrument set can be divided into two groups: space equipment and ground-based support, which could be used for real-time monitoring.

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Author Pulinets, Sergey
Krankowski, Andrzej
Hernandez-Pajares, Manuel
Marra, Sergio
Cherniak, Iurii
Zakharenkova, Irina
Rothkaehl, Hanna
Kotulak, Kacper
Davidenko, Dmitry
Blaszkiewicz, Leszek
Fron, Adam
Flisek, Pawel
Rigo, Alberto Garcia
Budnikov, Pavel
Publisher UCAR/NCAR - Library
Publication Date 2021-04-08T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:33:26.400536
Metadata Record Identifier edu.ucar.opensky::articles:24943
Metadata Language eng; USA
Suggested Citation Pulinets, Sergey, Krankowski, Andrzej, Hernandez-Pajares, Manuel, Marra, Sergio, Cherniak, Iurii, Zakharenkova, Irina, Rothkaehl, Hanna, Kotulak, Kacper, Davidenko, Dmitry, Blaszkiewicz, Leszek, Fron, Adam, Flisek, Pawel, Rigo, Alberto Garcia, Budnikov, Pavel. (2021). Ionosphere Sounding for Pre-seismic Anomalies Identification (INSPIRE): Results of the Project and Perspectives for the Short-Term Earthquake Forecast. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7rf5zj3. Accessed 26 June 2025.

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