Abstract:
PROBLEM TO BE SOLVED: To provide systems and methods for predicting when a weather anomaly intersects with a scheduled air route of an aircraft.SOLUTION: Direction of movement and velocity information for at least one weather anomaly are received at a processor 42 from a radar system 40. An intercept point predicted to be a point where the at least one weather anomaly and the aircraft 20 intersect with each other, is determined based on the received location, direction of movement and velocity information and location and current speed information for the aircraft. Then, a first indicator based on the intercept point is displayed on a display device 44.
Abstract:
A turbulent layer detecting apparatus in accordance with the present invention is equipped with a transmitting section that transmits beams of electromagnetic waves, sound waves or light waves into the atmosphere, a receiving section that receives the electromagnetic waves, the sound waves, or the light waves that have been transmitted by the transmitting section and scattered by particulates or the like in the atmosphere, a wind velocity measuring section that measures a beam direction component of a wind velocity at two or more observation points on a beam from a received signal received by the receiving section, or a density measuring section that measures a density at two or more observation points on the beam, and a turbulent layer detecting section that detects the presence of a turbulent layer on the basis of the output of either the wind velocity measuring section or the density measuring section.
Abstract:
PROBLEM TO BE SOLVED: To provide a system and method capable of informing the flight crew of turbulence hazard. SOLUTION: A weather radar system 40 includes a three-dimensional buffer 43, a processor 42, and a display 44. The processor receives refletivity values of a weather radar, stores the refletivity values of the weather radar in the three-dimensional buffer, generates air turbulence values on the basis of respective stored refletivity values, stores them in cells of the three-dimensional buffer, generates a first display icon concerning cells located within a threshold distance defined previously from a cell inside the three-dimensional buffer determined so as to include air turbulence values larger than the first threshold. The display displays the first display icon, when a relating cell is selected for displaying from the three-dimensional buffer. The processor is so configured moreover as to generate and output other display icons concerning cells being within a previously-defined threshold of cells having air turbulence values larger than other thresholds. COPYRIGHT: (C)2011,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a system and method for displaying radar-measured turbulence intensity on a vertical display. SOLUTION: Weather radar detecting system and method are operable to display a vertical view (602) of intensities of turbulence regions (112, 114, and 116). An exemplary embodiment has a radar (210) operable to detect turbulence, a processing system (212) operable to determine location and intensity of the detected turbulence, a three dimensional (3-D) weather information database (236) comprising a plurality of voxels that are associated with a unique geographic location with respect to the aircraft (104), wherein the information corresponding to the turbulence intensity is stored, and a display (222) operable to display the vertical view of a selected vertical slice (306), wherein the vertical view (602) displays the determined turbulence intensity and the determined location of the turbulence. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
The invention provided is equipped with a parent unit having: a precedent base for accumulating data notified from a plurality of child units; an element data determination unit for processing the data in the precedent base and turning it into element data based on a predetermined designation of a range that is subject to this processing; an element data classification unit for creating an aggregation of element data based on air turbulence encounter determination results, classifying each element data aggregation to create a classification; an element data change classification unit for determining which classification the element data in the classification precedent base belongs to and describing this as a change chart, and based on this change chart, summing changes of a classification identifier of each aircraft classification identifier, and calculating transition probabilities among the classifications and describing these as a status transition chart; a classification precedent base for storing the element data, the classification chart, the change chart and the status transition chart; and a display unit for displaying the change chart and the status transition chart; and the child unit having: a measurement unit for collecting air current data; a child unit element data determination unit for processing the data and turning it into element data; a child unit element data classification determination unit for determining which element distribution in a mixture distribution chart each of the element data processed by the child unit element data determination unit belongs, obtaining the transition probabilities from an element distribution to all of the element distributions, and calculating a probability of encountering air turbulence based on the transition probabilities and whether or not the mixture distribution chart indicates an air turbulence encounter; a child unit classification precedent base for obtaining the classification chart and the status transition chart, and providing these to the child unit element data classification determination unit; and a child unit display unit for displaying the class element distribution, the transition probability and the probability of encountering air turbulence, and issuing a warning in the case when the probability of encountering air turbulence satisfies predetermined conditions.
Abstract:
Dynamic weather model systems and methods are operable to assess weather (108, 110) in proximity to an airborne aircraft (104). An exemplary embodiment receives a radar return from the weather, determines reflectivity information from the received radar return, retrieves a weather model from a weather model data base (228), compares the weather (108, 110) with the retrieved weather model and the determined reflectivity information, predicts a characteristic of the weather (108, 110) based upon the comparison of the weather and the weather model, and determines if the predicted characteristic is potentially hazardous to the airborne aircraft (104). The weather model is defined by at least one weather modeling algorithm, and is defined by at least one of a parameter and a variable parameter range residing in a weather characteristics database (338).