Vaisala, Inc.

Evan Ruzanski

Andrew Hastings Black

Sergey Panov

Haiming Tan

Jason Selzler

Chandrasekar Venkatchalam

Kevin Petty

Cosima Jackson

Andrew Hastings-Black

A method to mitigate radio frequency interference (RFI) in weather radar data may include computingnorms of radials of weather radar data to construct annorm profile of the weather radar data as a function of azimuth angle. The weather radar data may include Level 2 or higher weather radar data in polar format. The method may include determining that a given radial in the weather radar data is an RFI radial based on thenorm profile of the weather radar data. The method may include displaying an image from the weather radar data in which at least one of: the RFI radial is identified in the image as including RFI; or the RFI radial is omitted from the image.

RFI mitigation in weather radar data

Systems and methods are disclosed to label data collected by one instrument based on data collected by another instrument, train a computer learning model with the labeled data, and then use the trained computer learning model to estimate a condition from new unlabeled data. For example, weather-related pavement conditions may be estimated from camera images according to such systems and methods. Systems and methods are also disclosed to estimate road weather safety or hazard conditions using two different types of pavement conditions, such as road state and friction or grip coefficient, estimated from unlabeled camera images.

Estimating conditions from observations of one instrument based on training from observations of another instrument

Systems and methods are disclosed for forecasting lightning activity. Such a method may include obtaining radar reflectivity data from a radar detection device for multiple altitudes over an environmental region for a past period of time, and dividing the reflectivity data into multiple sub-regions within the region. The method may also include obtaining lightning discharge data for the environmental region from a lightning discharge detecting device for a past period of time, and establishing a customizable mathematical operator based on the radar reflectivity data and the lightning discharge data. The method may additionally include receiving forecast radar data for at least one of the sub-region for a future time period, and forecasting a probability of lightning strikes in at least one of the sub-regions based on applying the customizable mathematical operator to the forecast radar data.

Forecasting lightning activity

Systems and methods are disclosed to determine an unambiguous radial velocity for weather phenomena using weather radar that is not limited by the Doppler Dilemma. Some embodiments include transmitting a complex waveform and using the returned electromagnetic signal to determine the unambiguous radial velocity.

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Boulder, CO, United States of America

Evan Ruzanski