In some examples, a system includes a weather radar device configured to transmit radar signals, receive first reflected radar signals at a first time, and receive second reflected radar signals at a second time. In some examples, the system also includes processing circuitry configured to determine a first magnitude of reflectivity based on the first reflected radar signals and determine a second magnitude of reflectivity based on the second reflected radar signals. In some examples, the processing circuitry is also configured to determine a temporal variance in reflectivity magnitudes based on determining a difference in reflectivity between the first magnitude and the second magnitude. In some examples, the processing circuitry is further configured to determine a presence of ice crystals based on the first magnitude of reflectivity, the second magnitude of reflectivity, and the temporal variance in reflectivity magnitudes.

An apparatus and a method for estimating rainfall of hail and rain using a dual-polarization weather radar improve accuracy of classification of hail and rain zones and estimation of rainfall intensity by classifying hail and rain zones using a distribution of horizontal reflectivity and differential reflectivity of radar observation values, discriminating between a convective zone and a stratiform zone depending on reflection intensity, and applying a dual-polarization-based rainfall estimating relational equation for each type in a weighted mean technique.

A method for processing telemetry data for estimating a wind speed. The method includes a hybridization by temporal combination, and/or by weighting, and/or by averaged projection.

Provided are an apparatus and a method for removing noise for observation information of a weather radar, and more particularly, an apparatus and a method for removing noise for observation information of a weather radar capable of separating and removing second trip echoes corresponding to noise from precipitation echoes by simulating the reflectivity of the second trip echoes caused by a distance folding phenomenon shown in weather observation information generated using a weather radar. According to the present invention, in order to remove the second trip echo that occurs in the observation information measured in the volume observation radius during weather observation by setting the weather radar as the volume observation radius where the second trip echo occurs, the weather radar is set as a long-range observation radius in which a second trip echo exceeding the volume viewing radius does not occur.

An apparatus for composition for dual-polarization weather radar observation data includes: a coordinate system converting unit that converts a reference grid of an orthogonal coordinate system into a grid of a dual-polarization weather radar spherical coordinate system based on a latitudinal-longitudinal coordinate system for each individual dual-polarization weather radar by using an earth spherical coordinate system; a CAPPI data generating unit that generates CAPPI data based on the orthogonal coordinate system after mapping individual items of dual-polarization weather radar observation data on grid coordinates of the dual-polarization weather radar spherical coordinate system; and a CAPPI data compositing unit that performs composition of CAPPI data for each of the individual dual-polarization weather radars located at the same coordinate of the orthogonal coordinate system obtained by mapping the individual items of dual-polarization weather radar observation data thereon.

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 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.

The distinguishing of rain echoes from ground echoes is performed by an analysis of the attenuation of the radar echoes, a radar echo being classed as a rain echo if its attenuation on a logarithm scale as a function of distance fluctuates around an affine straight line according to a given statistical law.

The present invention is directed to system and method of processing meteorological data. The system receives meteorological data corresponding to a geographic region for a storm event. A hail data indicator pair comprising a first hail data indicator and a second hail data indicator is selected, with hail data indicators being meteorological data which directly or indirectly indicates hail activity.

A storm event distribution is generated using the hail data indicator pair comprising the steps of configuring ranges for each of the hail data indicators, tabulating the number of occurrences of data points from the storm event data within the intersecting ranges of the first hail data indicator and the second hail data indicator, and calculating the proportion of occurrences within the intersecting ranges.

A hail intensity number display matrix is calculated for each of the second hail data indicator ranges using the storm event distribution comprising the steps of generating a summation of the proportional occurrences of the second hail data indicator over the first hail data indicator ranges, yielding a hail intensity number display for the respective range.

The instantaneous second hail data indicator value from the meteorological data of the corresponding time period and geographic location is retrieved, and the hail intensity display number from the hail intensity number display matrix using the instantaneous second hail data indicator value is further retrieved. A data packet of the hail intensity display numbers, each of the hail intensity display numbers corresponding to a local geographic point is generated.

Provided are an apparatus and a method for removing noise for observation information of a weather radar, and more particularly, an apparatus and a method for removing noise for observation information of a weather radar capable of separating and removing second trip echoes corresponding to noise from precipitation echoes by simulating the reflectivity of the second trip echoes caused by a distance folding phenomenon shown in weather observation information generated using a weather radar. According to the present invention, in order to remove the second trip echo that occurs in the observation information measured in the volume observation radius during weather observation by setting the weather radar as the volume observation radius where the second trip echo occurs, the weather radar is set as a long-range observation radius in which a second trip echo exceeding the volume viewing radius does not occur.