Abstract: Methods and apparatuses, including computer program products, are described for predicting the potential for severe weather. A computing device receives data associated with lightning activity, where the data includes lightning flash data. The computing device identifies cells of lighting activity based upon the lightning flash data and determines a movement speed, a movement direction, and a lightning rate of the cells of lightning activity based on the received data. The computing device compares the determined lightning rate to a threshold lightning rate, where the threshold rate is set based upon atmospheric conditions in a location of the cells of lightning activity. The computing device determines one or more geographical areas at risk based on the location, the movement speed, and the movement direction of the cells of lightning activity, and issues an alert to remote devices when the lightning rate exceeds a value of the threshold lightning rate.

Abstract: Methods and apparatuses, including computer program products, are described for predicting the potential for severe weather. A computing device receives data associated with lightning activity, where the data includes lightning flash data. The computing device identifies cells of lighting activity based upon the lightning flash data and determines a movement speed, a movement direction, and a lightning rate of the cells of lightning activity based on the received data. The computing device compares the determined lightning rate to a threshold lightning rate, where the threshold rate is set based upon atmospheric conditions in a location of the cells of lightning activity. The computing device determines one or more geographical areas at risk based on the location, the movement speed, and the movement direction of the cells of lightning activity, and issues an alert to remote devices when the lightning rate exceeds a value of the threshold lightning rate.

Abstract: Methods and apparatuses, including computer program products, are described for predicting the potential for severe weather. Data associated with lightning activity is received by a computing device. A location, a movement speed, a movement direction, and a lightning rate of one or more cells of lightning activity are determined by the computing device based on the received data. The lightning rate is compared, by the computing device, to a threshold lightning rate. One or more geographical areas at risk are determined by the computing device based on the location, the movement speed and the movement direction of the one or more cells of lightning activity. An alert is issued by the computing device to one or more remote devices monitoring the geographical areas when the lightning exceeds a value of the threshold lightning rate.

Abstract: Methods and apparatuses, including computer program products, are described for predicting the potential for severe weather. Data associated with lightning activity is received by a computing device. A location, a movement speed, a movement direction, and a lightning rate of one or more cells of lightning activity are determined by the computing device based on the received data. The lightning rate is compared, by the computing device, to a threshold lightning rate. One or more geographical areas at risk are determined by the computing device based on the location, the movement speed and the movement direction of the one or more cells of lightning activity. An alert is issued by the computing device to one or more remote devices monitoring the geographical areas when the lightning exceeds a value of the threshold lightning rate.

Abstract: Described are methods and apparatuses, including computer program products, for detecting lightning activity. Waveform data indicative of lightning activity is received by a waveform sensor from one or more signal converters. The waveform data comprises a group of electromagnetic waveforms. The waveform data is filtered by a processor to remove noise frequencies. One or more uncompressed portions of the waveform data are transmitted to a processing server. Digital filter data based on the one or more uncompressed portions of waveform data are received from the processing server. One or more frequencies are removed from the waveform data based on the digital filter data. The waveform data is compressed. The compressing includes selecting one or more points on a waveform, wherein the one or more points are above a predetermined threshold. The compressing includes determining an inflection of the selected points based on a predefined algorithm.

Abstract: Described are methods and apparatuses, including computer program products, for detecting lightning activity. Waveform data indicative of lightning activity is received by a waveform sensor from one or more signal converters. The waveform data comprises a group of electromagnetic waveforms. The waveform data is filtered by a processor to remove noise frequencies. One or more uncompressed portions of the waveform data are transmitted to a processing server. Digital filter data based on the one or more uncompressed portions of waveform data are received from the processing server. One or more frequencies are removed from the waveform data based on the digital filter data. The waveform data is compressed. The compressing includes selecting one or more points on a waveform, wherein the one or more points are above a predetermined threshold. The compressing includes determining an inflection of the selected points based on a predefined algorithm.