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    "page_type": "Visualization",
    "title": "GUARDIAN Warns Hawaii Early of Incoming Kamchatka Tsunami",
    "description": "GUARDIAN is a near-real-time ionospheric monitoring software that uses multi-GNSS total electron content time series to detect natural hazard signatures over the Pacific. Its AI-powered extension, GUARDIAN Scout, automates earthquake and tsunami detection. On July 29, 2025, GUARDIAN detected an incoming tsunami triggered by a magnitude 8.8 Kamchatka earthquake 32 minutes before the earliest tidal gauge detection, demonstrating its life-saving early warning potential.",
    "release_date": "2026-03-25T00:00:00-04:00",
    "update_date": "2026-03-27T09:00:36.361831-04:00",
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        "Scientific consulting by": [
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                "name": "Camille Martire",
                "employer": "NASA/JPL"
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                "name": "Kathleen Gaeta Greer",
                "employer": "NASA/GSFC/AMA"
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            "description": "This data visualizaton show the Kamchatka earthquake, soon followed by GUARDIAN stations G027 and QSPP early warning detections. NOAA's MOST simulation then shows the progression of the tsunami waves across the Pacific Ocean. GUARDIAN station KOKB (Hawaii) picks up the incoming tsunami wave followed by Hawaii's tidal gauge detectors.",
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            "description": "<a href=\"https://guardian.jpl.nasa.gov/about.html\">GUARDIAN (GPS/GNSS Unified Algorithm for Real-time Disaster Identification and Notification)</a> is a near-real-time (NRT) ionospheric monitoring software system designed to support natural hazards early warning systems (EWS). By leveraging multi-GNSS NRT total electron content (TEC) time series, GUARDIAN enables users to explore ionospheric perturbations resulting from natural and anthropogenic events and characterize potential natural hazards over the Pacific region. Currently, GUARDIAN is the only software capable of providing this capability to both the general public and the scientific community.<br><br>GUARDIAN Scout, an AI-powered extension of the GUARDIAN system, automates the detection of earthquake and tsunami-like ionospheric perturbations following significant seismic events. Utilizing a Convolutional Neural Network (CNN) trained on Sine-Gaussian wave packets generated by tsunamis and N-waves resembling atmospheric waves launched near earthquake epicenters, GUARDIAN Scout reduces the data review burden on ionospheric subject matter experts. The system is triggered automatically for earthquakes of magnitude 6.5 or greater and represents a continuously improving research tool.<br><br>The operational value of GUARDIAN was demonstrated on July 29, 2025, when a magnitude 8.5 earthquake struck near the Kamchatka Peninsula. GUARDIAN stations G027 and QSPP detected early tsunami signatures just 8 minutes after the seismic event, at 13:32 HST. The incoming tsunami wave was subsequently detected by GUARDIAN station KOKB at 18:50 HST — 32 minutes before the earliest tidal gauge detection at 19:22 HST. This 32-minute early warning advantage over traditional tidal gauge systems underscores the critical role GUARDIAN can play in supplementing existing hazard warning infrastructure and potentially saving lives in tsunami-threatened coastal communities.",
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            "description": "Time slider moves from left to right, highlighting the Kamchatka earthquake, GUARDIAN system tsunami detection times, and tidal gauge tsunami detection time.",
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            "caption": "GUARDIAN data visualization without the time slider.",
            "description": "GUARDIAN data visualization sans time slider.",
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    "funding_sources": [
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    "credits": [
        {
            "role": "Data visualizer",
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                {
                    "name": "Alex Kekesi",
                    "employer": "ADNET Systems, Inc."
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                    "employer": "NASA/JPL"
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                    "name": "Sally Younger",
                    "employer": "NASA/JPL"
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            "people": [
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                    "name": "Laurence Schuler",
                    "employer": "ADNET Systems, Inc."
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                {
                    "name": "Ian Jones",
                    "employer": "ADNET Systems, Inc."
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    "series": [],
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    "datasets": [],
    "nasa_science_categories": [
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    "keywords": [
        "Earth Science",
        "Earthquake",
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        "Hawaiian Islands",
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    "recommended_pages": [],
    "related": [],
    "sources": [],
    "products": [],
    "newer_versions": [],
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            "id": 5626,
            "url": "https://svs.gsfc.nasa.gov/5626/",
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}