An advance warning lightning electromagnetic pulse (LEMP) storm detection device, system, and method for automatically protecting, disconnecting, and isolating electronic equipment in anticipation of a potential storm, thereby preventing damage to electronics susceptible to power surges caused by lightning strikes or earth ground fault events. The storm detection device can include a coaxial isolation switch, a radio receiver, a controller having a processor, wherein the controller further includes an isolation detection unit. In addition, the storm detection device can further include a drive motor, one or more input electrical contacts, and one or more output electrical contacts engaged with the input electrical contacts. Further, wherein in response to the radio receiver detecting one or more lightning strikes, the controller operates the drive motor to disengage the input electrical contacts and output electrical contacts from each other.

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.

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.

A method, apparatus, and system for managing sensor system for an aircraft. A presence of erroneous sensor data generated by a set of external sensors on an exterior of the aircraft is detected. A set of deployable sensors is deployed in response to the erroneous sensor data being received from the set of external sensors on the exterior of the aircraft when an undesired environmental condition adverse to the set of external sensors on the exterior of the aircraft is absent. Sensor data is received from the set of deployable sensors.

A quantum dot (QD) lightning detection and warning (LDW) system and method. This LDW system and method find broader applicability to spark and other transient optical event detection as well. The QDs are operable for receiving ultraviolet (UV), infrared (IR), visible, x-ray, and/or gamma ray radiation emanating from lightning or the like and generating visible radiation that may be detected and utilized to generate topological event information, such that property, human life, and the like may be safeguarded.

A quantum dot (QD) lightning detection and warning (LDW) system and method. This LDW system and method find broader applicability to spark and other transient optical event detection as well. The QDs are operable for receiving ultraviolet (UV), infrared (IR), visible, x-ray, and/or gamma ray radiation emanating from lightning or the like and generating visible radiation that may be detected and utilized to generate topological event information, such that property, human life, and the like may be safeguarded.

A mobile self-contained real-time storm and related events detection and tracking device utilizing a tunable multiple channel antenna array for multiple angle signal detection. High resolution data generated by movement of detected charged concentrations within a storm or pre-storm weather system is collected and displayed in real-time with bearing directional and distance alerts. Telemetric cloud-based network by multiple remote users to extend detection and enhanced detection and alerts generating capabilities. Mounting variations of multiple channel antenna array on varied mobile platforms allows for creation of regional detection and alert networks.

A mobile self-contained real-time storm and related events detection and tracking device utilizing a tunable multiple channel antenna array for multiple angle signal detection. High resolution data generated by movement of detected charged concentrations within a storm or pre-storm weather system is collected and displayed in real-time with bearing directional and distance alerts. Telemetric cloud-based network by multiple remote users to extend detection and enhanced detection and alerts generating capabilities. Mounting variations of multiple channel antenna array on varied mobile platforms allows for creation of regional detection and alert networks.

A weather forecasting system has weather forecasting logic that receives weather data from a satellite or other source, such as radar. The weather forecasting logic processes such data to identify cumulus clouds. For each cumulus cloud identified, the weather forecasting logic applies interest field tests and feeds the results into formulas derived based on measurements from current and past weather events. The model determines a score indicating the likelihood of the cumulus cloud forming precipitation and a score indicating the likelihood of the cumulus cloud forming lightning in the future within a certain time period. Based on such scores, the weather forecasting logic predicts in which geographic regions the identified cumulus cloud will produce precipitation and/or lightning during the time period. The predictions of the weather forecasting logic may then be used to provide a weather map thereby providing users with a graphical illustration of the areas.

A weather forecasting system has weather forecasting logic that receives weather data from a satellite or other source, such as radar. The weather forecasting logic processes such data to identify cumulus clouds. For each cumulus cloud identified, the weather forecasting logic applies interest field tests and feeds the results into formulas derived based on measurements from current and past weather events. The model determines a score indicating the likelihood of the cumulus cloud forming precipitation and a score indicating the likelihood of the cumulus cloud forming lightning in the future within a certain time period. Based on such scores, the weather forecasting logic predicts in which geographic regions the identified cumulus cloud will produce precipitation and/or lightning during the time period. The predictions of the weather forecasting logic may then be used to provide a weather map thereby providing users with a graphical illustration of the areas.