Prediction system and method
First Claim
1. A method of processing geospheric data to predict a large entity event, said method comprising the steps of:
- acquiring data at receiving stations located near the earth'"'"'s surface, wherein the acquired data comprises one or more of high orbiting radio-tomography (HORT), low orbiting radio-tomography (LORT), radar clutter, and cellular telephone signal fading and noise data;
correlating said acquired data with secondary data, wherein the secondary data comprises at least one of archival data, magnetospheric data, seismic data from a region of interest, solar data, data relating to man-made activities that may influence the prediction, and other cosmic, solar, geophysical, or terrestrial data which may have an impact on the prediction;
comparing said correlated data with archived data sets, in an iterative process, revisiting the correlated data to remove false signals or irrelevant noise and to extract meaningful trends; and
evaluating said data for presence of large entity event precursors.
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Abstract
Method and apparatus to predict the onset of earthquakes, one to three days prior to the event. Predictions of latitude, longitude, and time of occurrence of an incipient earthquake, by monitoring and exploiting unique changes in the ionosphere and atmosphere, may be obtained. The methodology, focused on radio-tomography of the ionosphere, includes data receiving, transmission, and analysis stations on the earth'"'"'s surface; data from satellite transmitters; and mechanisms to extract earthquake-related signatures that are correlated, processed, interpreted, and disseminated as warnings from central analysis centers. Additionally, data from ground-based radars that display unique clutter maps during earthquake pre-cursor activity and data from cellular telephone networks that display signal fading may also be used.
75 Citations
22 Claims
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1. A method of processing geospheric data to predict a large entity event, said method comprising the steps of:
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acquiring data at receiving stations located near the earth'"'"'s surface, wherein the acquired data comprises one or more of high orbiting radio-tomography (HORT), low orbiting radio-tomography (LORT), radar clutter, and cellular telephone signal fading and noise data; correlating said acquired data with secondary data, wherein the secondary data comprises at least one of archival data, magnetospheric data, seismic data from a region of interest, solar data, data relating to man-made activities that may influence the prediction, and other cosmic, solar, geophysical, or terrestrial data which may have an impact on the prediction; comparing said correlated data with archived data sets, in an iterative process, revisiting the correlated data to remove false signals or irrelevant noise and to extract meaningful trends; and evaluating said data for presence of large entity event precursors. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A system for processing geospheric data to predict a large entity event, said system comprising:
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a plurality of receiving stations for acquiring data, the acquired data comprising one or more of high orbiting radio-tomopraphy (HORT), low orbiting radio-tomopraphy (LORT), radar clutter, and cellular telephone signal fading and noise data; means for correlating said acquired data with secondary data, wherein the secondary data comprises at least one of archival data, magnetospheric data, seismic data from a region of interest, solar data, data relating to man-made activities that may influence the prediction, and other cosmic, solar, geophysical, or terrestrial data which may have an impact on the prediction; means for comparing said correlated data with archived data sets, in an iterative process, revisiting the correlated data to remove false signals or irrelevant noise and to extract meaningful trends; and means for evaluating said data for presence of large entity event precursors. - View Dependent Claims (19, 20, 21, 22)
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Specification