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Earth-Prints is an open archive created and maintained by Istituto Nazionale di Geofisica e Vulcanologia. This digital collection allows users to browse, search and access manuscripts, journal articles, theses, conference materials, books, book-chapters, web products.

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  • PublicationRestricted
    Carbon Monoxide Anomalies for the 2013 Mw =6.7 Lushan Earthquake Using MSSA-RST Approach
    (IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667, 2024) ; ; ; ; ; ; ; ;
    Yang, Baiyi
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    This article deals with the spatial-temporal investigation of the possible relationship of the carbon monoxide (CO) anomalies with the 2013 Mw =6.7 Lushan earthquake. The complexity of the seismogenic environment contributes to the irregular spatial distribution of CO background. Accurate estimation of the spatial reference background is crucial for precisely detecting seismic-related anomalies. In this study, we proposed an improved Robust Satellite Techniques (RST) approach, in which long-term spatial common variation was incorporated into reference background using multichannel singular spectrum analysis (MSSA) together with spatial clustering. Using the MSSA-RST approach, we detected CO anomalies associated with the Lushan earthquake, utilizing MERRA-2 data spanning from 180 days before to 90 days after the mainshock, and compared the results with those obtained using typical RST. The cumulative CO anomalies exhibited two accelerated growths in the form of a sigmoidal trend: from −51 to −40 days, and from −26 days to 15 days after the mainshock. Spatially, CO anomalies were distributed around the epicenter and along fault zones. Subsequently, we analyzed seismic events and deformation to explore the association between CO anomalies and the Lushan earthquake. The lithospheric Benioff strain also displayed two sigmoid accelerations preceding the mainshock, consistent with cumulative CO anomalies. Some high-value regions in the GPS velocity field were aligned with CO anomaly clusters surrounding Longmenshan, Xianshuihe, Zemuhe, and Anninghe faults. Furthermore, the spatial correspondence and temporal sequence of multiple parameters provide additional support for the potential seismic origin of most atmospheric CO anomalies detected by the new approach, which can be explained by lithosphere-atmosphere–ionosphere coupling (LAIC) models.
  • PublicationOpen Access
    Insights into Conjugate Hemispheric Ionospheric Disturbances Associated with the Beirut Port Explosion on 4 August 2020 Using Multi Low-Earth-Orbit Satellites
    (Basel : Molecular Diversity Preservation International, 2025-05-30) ; ; ; ;
    Rezy Pradipta
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    Ahmed I. Saad Farid
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    Mohamed Freeshah
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    In this study, we analysed remote sensing data collected during the Beirut port explosion on 4 August 2020 at 15.08 UT. For this purpose, we selected three Low-Earth-Orbit (LEO) satellite missions that passed near the Beirut port explosion site immediately after the event. The satellites involved were Swarm-B, the Defence Meteorological Satellite Program (DMSP-F17), and the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC-2). This study focused on identifying the possible ionospheric signatures of explosion in both hemispheres. The conjugate hemispheric points were traced using the International Geomagnetic Reference Field (IGRF) model. We found that the satellite data revealed disturbances not only over the explosion site in the Northern Hemisphere, but also in its corresponding conjugate region in the Southern Hemisphere. Ionospheric electron density disturbances were observed poleward in the conjugate hemispheres along the paths of the Swarm and DMSP satellites, whereas the magnetic field data from Swarm-B showed both equatorward and poleward disturbances. Additionally, the ionospheric disturbances detected by Swarm-B (18:52 UT) and DMSP-F17 (16:30 UT) at the same location suggested travelling ionospheric disturbance (TID) oscillations with identical spatial patterns for both satellites, whereas the disturbances observed by COSMIC-2 south of the explosion site (10°N) indicated the radial propagation of TIDs. COSMIC-2 not only recorded equatorward topside (>550 km) ionospheric electron density disturbances, but also in the conjugate hemispheres, which aligns with the time frame reported in previous studies. These ionospheric features observed by multiple LEO satellites indicate that the detected signatures originated from the event, highlighting the importance of integrating space missions for monitoring and gaining deeper insight into space hazards. The absence of equatorward ionospheric disturbances at the altitudes of DMSP-F17 and Swarm-B warrant further investigation.
  • PublicationRestricted
    A Review of Earthquake Precursor Anomaly Extraction Techniques for Geophysical Time-Series Observations
    (Kluwer Academic Publishers:Journals Department, PO Box 322, 3300 AH Dordrecht Netherlands:011 31 78 6576050, EMAIL: frontoffice@wkap.nl, kluweronline@wkap.nl, INTERNET: http://www.kluwerlaw.com, Fax: 011 31 78 6576254, 2026-02-09) ;
    Xilong Jing
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    Minglin Yang
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    Jiarui Zhang
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    Haiyong Zheng
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    Extracting earthquake precursors from observation data is a long-standing challenge. In principle, the observation data are the first-hand information to understand the earthquake process, and anomaly extraction is a necessary step to discover earthquake precursors, as well as hopefully enable earthquake prediction. At present, advancements in monitoring systems and anomaly extraction technologies have improved our understanding of many earthquake cases. However, due to diverse geophysical measurement techniques, as well as there could be some different theories and consequent signals induced by earthquake activity, anomaly extraction techniques remain fragmented, with no unified technological consensus established. This review uniquely summarizes time-series-based anomaly extraction techniques across geophysical observations for earthquake precursors, unlike existing reviews that mainly concentrate on individual geophysical observation types. Specifically, we outline the classification of anomaly extraction techniques in time-series observations by investigating their data types, the associated anomaly types, and the corresponding extraction methods. It is found that the growing data and precursor knowledge have shifted extraction methods from traditional to data-driven approaches, transforming anomalies into complex contextual or pattern signals preceding earthquakes. This review offers a practical reference framework for assessing extraction techniques and refining their performance in terms of data and anomaly types. We also hope this investigation will advance understanding of evolving extraction methods and their predictive potential.
  • PublicationOpen Access
    SEISMO-VRE: A tool for a multiparametric and multidisciplinary study of an earthquake
    The study of earthquake preparation phases often relies on fragmented approaches, limiting reproducibility and comparison between methods. To address this, we developed a Virtual Research Environment (VRE) for multiparametric and multidisciplinary earthquake investigations. Built as a Jupyter Notebook with MATLAB and Python kernels, the VRE integrates seismic, geodetic, atmospheric, and ionospheric data into a unified and automated workflow. Users can define spatial, temporal and other parameters to retrieve and process data across layers. Its effectiveness is demonstrated through the analysis of the 2016 Central Italy and 2025 Marmara earthquakes, where the tool proved capability to easy reproduce cross-domain results.
  • PublicationOpen Access
    Simultaneous Pi2 pulsation detected by CSES-01, Swarm, RBSP and Arase satellites
    (London: Springer Nature London: Nature Publishing Group, 2026-04-14) ;
    Kazuhiro Yamamoto
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    Kazue Takahashi
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    Islam Hawash
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    Mohamed Khalifa
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    Jayashree Bulusu
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    Mohamed Metwaly
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    Yoshizumi Miyoshi
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    Ayako Matsuoka
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    Mariko Teramoto
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    Yoshiya Kasahara
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    Fuminori Tsuchiya
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    Atsushi Kumamoto
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    Atsuki Shinbori
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    Iku Shinohara
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    In this study, we present simultaneous multi-point observations of Pi2 magnetic pulsations studied, for the first time, through joined measurements of multiple missions: the CSES-01 and Swarm (A and C), in the topside ionosphere, Van Allen Probe (or Radiation Belt Storm Probes, RBSP) (A and B) and Arase in the magnetosphere. We focused on the compressional component of the satellites and the horizontal component of magnetic field from Kakioka (KAK) ground station in Japan. The Pi2 event occurred from 12:40 to 12:56 UT on January 12, 2019, where CSES-01, RBSP-A, and KAK were on the night side; Swarm-A/C, were on the day side while RBSP-B and Arase were in the dusk sector. We observed 90-degree phase delay between RBSP-A-Bz and RBSP-A-Ey which can be interpreted as a radially trapped fast mode for the compressional oscillation. Both the wavelet transforms and the Hilbert-Huang transform (HHT) were applied for signal analysis, revealing wave-like structures and strong coherence among all data sets and confirming the Pi2 pulsation nature. The compressional component in the topside ionosphere and in the magnetosphere seem very similar with the horizontal component of KAK station. During 12:43-12:45 UT, CSES-01 and Swarm-A/C exhibited an in-phase variation while both were in the Southern Hemisphere. However, as CSES-01 transitioned to the Northern Hemisphere between 12:47 and 12:56 UT, the corresponding signals became out of phase. During the selected Pi2 event, RBSP-B was located very close to Arase in the dusk sector and detected compressional oscillations with a waveform nearly identical to that observed by RBSP-A, suggesting that the observed Pi2 exhibited cavity resonance characteristics. To understand their propagation mechanism, we conduct further analysis of the duskside Pi2 pulsations in this event. We found that the penetration/ propagation speed of the low-frequency Pi2 pulsations is high (|m|~ 0.3) and much larger than the average Alfven speed in the plasmasphere, while the high-frequency Pi2 pulsations have a finite m number (m ~-1.7) and their phase speed is comparable to the average Alfven speed. We suggest that the nightside Pi2 pulsations propagate sunward through a waveguide-like mode, consistent with the high-frequency Pi2 signatures detected on the duskside in the magnetosphere.