Using the neural network in weather radar

Abstract

Background. The object of the study is meteorological radar, which provides an assessment of the types of cloud cells. The purpose of this study is to combine a meteorological radar with a neural network that allows you to identify the classification of detected meteor formation (MO) using the proposed method. Based on the consideration of the neural network code for meteorological radar for a number of known signs of the detected MO. Materials and methods. The basics of meteorological radar, as well as programming based on a neural network, are used as materials for evaluating cumulus cloud cells. Results. Based on the above approach, a method of combining a meteorological radar with a neural network is proposed, the mathematical basics of a neural network are considered, as well as the essence of its work, a simplified block diagram of neural network training is given. Conclusions. A method of combining a meteorological radar with a neural network is proposed, which is undoubtedly the future of meteorological radar, and is already becoming sufficiently available for use today

Keywords

• meteorological radar
• neural network
• weather formations
• cumulus clouds
• identification