Weather Prediction Apparatus Using Radar Cloud Core Tracking
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Solution Overview
Problem
Non-expert users, such as disaster prevention managers, struggle to interpret weather data from phased array weather radar systems, making it difficult for them to predict unexpected localized torrential rains effectively.
Innovation Solution
A weather prediction system that includes a processor to detect the core of a rain cloud, determine its movement direction, and calculate the area on the ground where torrential rain is likely to occur, using three-dimensional data from a weather radar, and visualizes this information in real-time for users through a client computer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If weather data from phased array weather radar is provided to non-expert users, then the ability to predict torrential rains is improved, but the ease of interpretation for non-expert users deteriorates
Solution Approach 1:
The patent introduces an automated processing system that acts as an intermediary between the raw weather radar data and non-expert users. The system automatically detects rain cloud cores, tracks their movement, and predicts torrential rain areas, converting complex radar data into simplified visual predictions that non-expert users can easily interpret and utilize for disaster prevention decisions.
2Reliability
If complex weather data processing is performed to accurately predict torrential rains, then the prediction accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent implements a self-service automated processing system that performs core detection, movement tracking, and torrential rain prediction without requiring manual expert intervention. The system autonomously processes weather radar data through predefined algorithms, maintaining high prediction accuracy while reducing operational complexity and enabling non-expert users to utilize the full capability of the weather prediction system.
3Ease of operation
If real-time weather data visualization is provided to non-expert users, then the ease of operation is improved, but the processing speed requirements increase
Solution Approach 1:
The patent extracts and prioritizes only the most critical information for non-expert users: the detected rain cloud core positions, their movement directions, and the predicted torrential rain areas. By extracting only these essential elements for real-time visualization rather than processing and displaying all raw radar data, the system achieves real-time visual feedback for users while managing processing speed requirements efficiently.
Data Source
AI summary
According to one embodiment, a weather prediction apparatus includes a storage configured to store weather data of a rain cloud observed by a weather radar; and a processor configured to predict a torrential rain. The processor is configured to detect a core of the rain cloud, based on the weather data; to acquire position information of the core, based on a detection result of the core; to determine a movement direction of the core, based on the position information; and to calculate information for predicting, as an area of occurrence of the torrential rain, an area on a ground, the area on the ground corresponding to the movement direction of the core.