Methods and systems of displaying weather data for a cockpit display system of an aircraft. The methods and systems include generating a display to include a first graphical map of real-time weather data from a weather radar. The display further includes a notification graphic associated with a portion of part of a displayed flight plan in which a significant weather condition exists. When the notification graphic is selected, the display includes the first graphical map of the real time weather data based on weather data from the weather radar and a second graphical map of significant weather conditions data derived from transmitted weather data.

A system and method for computing radar based precipitation estimates using inverse distance weighting is provided. In an embodiment, an agricultural intelligence computer system receives first electronic digital data comprising a first plurality of values representing precipitation gauge measurements at a plurality of gauge locations. The agricultural intelligence computer system obtains second electronic digital data comprising a second plurality of values representing radar based precipitation estimates at the plurality of gauge locations. For each radar based precipitation estimate value at the plurality of gauge locations, the agricultural intelligence computer identifies one or more corresponding precipitation gauge measurement values, computes a gauge radar differential value for the radar based precipitation estimate based, at least in part, on one or more corresponding precipitation gauge measurement values and the radar based precipitation estimate value, and stores the gauge radar differential value with location data identifying a corresponding location of the plurality of gauge locations. The agricultural intelligence computer system then obtains a particular radar based precipitation estimate at a non-gauge location. The agricultural intelligence computer system determines that one or more particular gauge radar differential values at one or more particular gauge locations correspond to the particular radar based precipitation estimate at the non-gauge location and computes a particular radar based precipitation estimate error at the non-gauge location based, at least in part, on the one or more particular gauge radar differential values at the one or more particular gauge locations and one or more distances between the non-gauge location and the one or more particular gauge locations.

A method for estimating confidence bounds for adjusted rainfall values for a set of geo-locations using agricultural data comprises using a server computer system that receives, via a network, agricultural data records that are used to estimate rainfall values for the set of geo-locations. Within the server computer system, rainfall calculation instructions receive digital data including observed radar and rain-gauge agricultural data records. The computer system then aggregates the agricultural data records and creates and stores the agricultural data sets. The agricultural data records are then used to estimate adjusted rainfall values for a set of geo-locations. Rainfall confidence bounds instructions estimate a set of confidence bounds for each of the adjusted rainfall values for the set of geo-locations. The set of confidence bounds provide a range for each of the adjusted rainfall values that represents a particular level of confidence associated with each of the adjusted rainfall values.

A clutter suppressing device for suppressing echo data of static clutter components indicating reflection waves caused by radar transmission signals reflecting on a static object is provided. The device includes a static clutter component suppressor configured to receive reception signals containing the static clutter components, and suppress the static clutter components, a reference data memory configured to store, as reference data, echo data of the reception signals obtained in fine weather and in which the static clutter components are suppressed by the static clutter component suppressor, and a rain component extracting module configured to extract echo data indicating rain components contained in the reception signals, by removing the reference data stored in the reference data memory from echo data of the reception signals obtained in rainy weather and in which the static clutter components are suppressed by the static clutter component suppressor.

Predicting weather radar images by building a first machine learning model to generate first predictive radar images based upon input weather forecast data, and a second machine learning model to generate second predictive radar images based upon historical radar images and the first predictive radar images. Further by generating enhanced predictive radar images by providing the first machine learning model weather forecast data for a location and time and providing the second machine learning model with historical radar images for the location and an output of the first machine learning model.

A clutter suppressing device for suppressing echo data of reflection waves caused by radar transmission signals reflecting on a static object is provided. Each of the radar transmission signals is transmitted at a predetermined azimuth from a radar antenna at a predetermined time interval. The clutter suppressing device includes an echo data memory configured to sequentially store a plurality of echo data of reflection waves caused by the radar transmission signals reflecting on objects, a filter configured to select, from the plurality of echo data, a data row in the azimuth direction for a predetermined distance, and suppress, in the data row, echo data of a target object moving at a speed within a predetermined range, and a suppression echo data output unit configured to output suppression echo data containing the echo data suppressed by the filter.

A system and method for improving radar based precipitation estimates using spatiotemporal interpolation is provided. In an embodiment, an agricultural intelligence computer system receives a plurality of radar based precipitation rate values representing precipitation rate measurements at a plurality of locations and a plurality of times. The agricultural intelligence computer system identifies a first non-zero radar based precipitation rate value associated with a first location of the plurality of locations and a first time of the plurality of times. The agricultural intelligence computer also identifies a second non-zero radar based precipitation rate value associated with a second location of the plurality of locations and a second time of the plurality of times. The agricultural intelligence computer system determines that the first non-zero radar based precipitation rate value corresponds to the second non-zero radar based precipitation rate value. Based on the first non-zero radar based precipitation rate value and the second non-zero radar based precipitation rate value, the agricultural intelligence computer system computes a non-zero precipitation accumulation value at a third location and a third time.

A method allowing data delivered by a rain gauge to be validated in real time is provided. The method includes steps of: receiving, in a defined time window, pluviometric data from a gauge and weather data from at least one weather radar; computing a coefficient of gauge/radar similarity between the pluviometric data received from the gauge and the weather data received from the at least one weather radar; comparing the value of the coefficient of obtained gauge/radar similarity to a threshold gauge/radar value; and validating the pluviometric data of the gauge if the value of the coefficient of gauge/radar similarity is higher than or equal to the threshold gauge/radar value.

A system, computer program product and method of examining the ionosphere is disclosed. The method includes capturing, at one or more antennas, radio frequency (RF) emissions preceding a broadband emission event. The RF emissions are then recorded at one or more broadband receivers over a period of time. A first tuning of the received RF emissions is selected to detect ionospheric reflections, and a second tuning of the received RF emissions is selected to detect direct line of sight emissions. From the selected tunings, an amplitude or complex time series of the second tuning with one or more channels of the first tuning are correlated to calculate a relative virtual echo height of the ionosphere.

A method of selectively displaying an image representative of a weather condition in relation to an aircraft includes selecting, on a display screen, a display area to display weather data based on the location of the aircraft, selecting a weather condition to display from among a plurality of weather conditions, determining if any weather conditions are available to be displayed outside the selected display area and if the weather conditions should be displayed outside the selected display area based on the location of the aircraft and the severity of the non-selected weather conditions, receiving, from a weather data source, weather data representative of the selected weather condition with respect to the selected display area, and receiving weather data representative of weather conditions that should be displayed outside the selected display area, the weather data including location data for the weather conditions, and displaying the image representative of the selected weather condition within the selected display area and the weather conditions that should be displayed outside the selected display area, the image based on the received weather data.