Neural network for predicting lightning
First Claim
1. A system for predicting the occurrence of lightning within a given area based on weather data collected and lightning occurrences detected during a plurality of past days and on weather data collected during the present day, the system comprising:
- collection means for collecting weather data;
detection means for detecting the occurrence of lightning in the given area;
correlation means, in communication with the collection means and the detection means, for determining correlations between the weather data collected by the collection means during a plurality of past days and the occurrence of lightning detected by the detection means during the plurality of past days in the given area; and
prediction means, in communication with the collection means and the correlation means, for determining the probability of an occurrence of lightning in the given area at some future time, based on the weather data being collected during the present day and the correlations determined by the correlation means from the weather data collected on past days.
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Abstract
A system and method are provided for the automated prediction of lightning strikes in a set of different spatial regions for different times in the future. In a preferred embodiment, the system utilizes measurements of many weather phenomena. The types of measurements that can be utilized in approximately the same geographical region as that for which the strike predictions are made. This embodiment utilizes a correlation network to relate these weather measurements to future lightning strikes.
112 Citations
28 Claims
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1. A system for predicting the occurrence of lightning within a given area based on weather data collected and lightning occurrences detected during a plurality of past days and on weather data collected during the present day, the system comprising:
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collection means for collecting weather data; detection means for detecting the occurrence of lightning in the given area; correlation means, in communication with the collection means and the detection means, for determining correlations between the weather data collected by the collection means during a plurality of past days and the occurrence of lightning detected by the detection means during the plurality of past days in the given area; and prediction means, in communication with the collection means and the correlation means, for determining the probability of an occurrence of lightning in the given area at some future time, based on the weather data being collected during the present day and the correlations determined by the correlation means from the weather data collected on past days. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of operating a data processor to enable the data processor to predict the occurrence of lightning within a given area based on weather data collected and lightning occurrences detected during a plurality of past days and on weather data collected during the present day, the method comprising the steps of:
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collecting weather data; detecting the occurrence of lightning in the given area; storing information regarding weather data and lightning occurrences in a storage area of the data processor; determining and storing correlations between the weather data collected during a plurality of past days and the occurrence of lightning during the plurality of past days in the given area; and determining the probability of an occurrence of lightning in the given area at some future time, based on the weather data collected during the present day and the stored correlations. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. A system for predicting the occurrence of lightning in a given area based on weather data collected and lightning occurrences detected during a plurality of past days and on weather data collected during present day, the system comprising:
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collection means for collecting the weather data; detection means for detecting the occurrence of lightning in the given area and for recording data regarding when the lightning occurred; training means for receiving data from the collection means and from the detection means and for determining network coefficients, based on data regarding weather and lightning occurrences on past days received from the collection means and the detection means; and prediction means for receiving data from the collection means and the network coefficients from the training means and for predicting the occurrence of lightning, based on data received from the collection means and the network coefficients received from the training means. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25)
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26. A method of operating a data processor to enable the data processor to predict the occurrence of lightning in a given area during a day based on weather data collected and lightning occurrences detected during a plurality of days and on weather data collected during the day, the method comprising:
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collecting weather data over a plurality of days and storing in a storage area of the data processor information regarding the weather data collected over the plurality of days; detecting the occurrence of lightning in the given area during the plurality of days, generating data regarding when the lightning occurred and storing information regarding lightning occurrences in a storage area of the data processor; determining and storing in a storage area of the data processor network coefficients, based on the stored data regarding weather and lightning occurrences on the plurality of days; collecting weather data during the day and storing in a storage area of the data processor information regarding the weather data collected during the day; determining the probability of lightning occurring in the given area, based on stored data collected during the day and the network coefficients.
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27. A system for predicting the occurrence of lightning within a given area and within a given timeframe based on weather data collected and lightning occurrences detected during a plurality of past days and on weather data collected during the present day, the system comprising:
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collection means for collecting weather data within and outside of the given area; detection means for detecting the occurrence of lightning within the given area and for recording data regarding when the lightning occurred; training means for receiving data from the collection means and from the detection means and for determining network coefficients, based on data regarding weather and lightning occurrences on past days received from the collection means and the detection means; and prediction means for receiving data from the collection means and the network coefficients from the training means and for predicting the occurrence of lightning within the given area, based on data received from the collection means and the network coefficients received from the training means.
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28. A system for predicting the occurrence of lightning in a plurality of given areas and within a plurality of given timeframes based on weather data collected and lightning occurrences detected during a plurality of past days and on weather data collected during the present day, the system comprising:
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collection means for collecting weather data within and outside of a given area; detection means for detecting the occurrence of lightning within the given area and for recording data regarding when the lightning occurred; training means for receiving data from the collection means and from the detection means and for determining network coefficients, based on data regarding weather and lightning occurrences on past days received from the collection means and the detection means; and prediction means for receiving data from the collection means and the network coefficients from the training means and for determining when lightning is likely to occur within the given area, based on data received from the collection means and the network coefficients received from the training means.
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Specification