Abstract: A system (50) for tracking an object (1) comprises a magnetic field source (10) configured to be fixed to this object (1); a magnetometric data collection unit (20) that uses magnetic field sensors (22) fixed at predetermined positions on a support (23) to form an array (21), and that includes a sensor control unit (25) for controlling the magnetic field sensors (22); a data processing unit (30) configured to receive the magnetic field data from the sensor control unit (25) and to calculate from these data position coordinates of the magnetic field source (10) with respect to the array (21) forming a vector of such position coordinates which minimizes the distance between magnetic field values expected at the sensor positions (22) and magnetic field values collected by the collection unit (20), wherein the magnetic field source (10) is arranged to generate a local magnetic field (4), at the magnetic field sensors (22), of intensity set between 5 and 500 microtesla, so that the magnetic field sensors (22) dete

Abstract: The method of the present invention comprises acquiring input data of both aircraft performance characteristics and atmospheric data, and defining trajectory parameters to which the aircraft trajectory must be subjected, the method further comprising defining aircraft trajectory parameters; acquiring a plurality of atmospheric forecast ensembles; calculating a predicted trajectory from each atmospheric forecast of an atmospheric forecast ensemble, said predicted trajectory having associated information regarding a certain figure of merit of the aircraft trajectory, wherein an ensemble of predicted trajectories is obtained from each atmospheric forecast ensemble, each predicted trajectory of the ensemble of predicted trajectories having an associated probability derived from the probability of each atmospheric forecast within an atmospheric forecast ensemble; the system of the present disclosure comprising all the necessary equipment to carry out the method of the present disclosure.

Abstract: A method includes receiving meteorological forecast data at an electronic device. The method includes predicting multiple risk levels associated with an aircraft using one or more runways of an airport during a forecast time interval based on the meteorological forecast data. The method further includes generating a graphical user interface (GUI) that includes multiple risk indicators based on the multiple risk levels. The multiple risk indicators may correspond to multiple time sub-intervals during the forecast time interval.

Abstract: The method of the present invention comprises acquiring input data of both aircraft performance characteristics and atmospheric data, and defining trajectory parameters to which the aircraft trajectory must be subjected, the method further comprising defining aircraft trajectory parameters; acquiring a plurality of atmospheric forecast ensembles; calculating a predicted trajectory from each atmospheric forecast of an atmospheric forecast ensemble, said predicted trajectory having associated information regarding a certain figure of merit of the aircraft trajectory, wherein an ensemble of predicted trajectories is obtained from each atmospheric forecast ensemble, each predicted trajectory of the ensemble of predicted trajectories having an associated probability derived from the probability of each atmospheric forecast within an atmospheric forecast ensemble; the system of the present disclosure comprising all the necessary equipment to carry out the method of the present disclosure.

Abstract: A method includes receiving meteorological forecast data at an electronic device. The method includes predicting multiple risk levels associated with an aircraft using one or more runways of an airport during a forecast time interval based on the meteorological forecast data. The method further includes generating a graphical user interface (GUI) that includes multiple risk indicators based on the multiple risk levels. The multiple risk indicators may correspond to multiple time sub-intervals during the forecast time interval.