Cloud Developmental Stage Estimation via Altitude Change Rates
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Solution Overview
Problem
Current cloud estimation systems fail to accurately determine the developmental stage of clouds that change rapidly over short periods, which is crucial for predicting weather conditions such as heavy rain.
Innovation Solution
An estimation apparatus that acquires and analyzes time-sequential observation data from radar systems to derive changes in cloud altitude, determining the developmental stage of clouds based on these changes and generating display data for risk level determination, enabling accurate assessment of cloud developmental stages and associated heavy rain risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional cloud estimation systems are used, then the system structure is simple, but the measurement precision of cloud developmental stage is insufficient for rapidly changing clouds
Solution Approach 1:
The patent segments the cloud development process into distinct stages (forming, developing, mature, dissipating) based on altitude change rates. By dividing the continuous cloud evolution into discrete phases with specific altitude change thresholds, the system achieves precise developmental stage determination without requiring complex continuous modeling, thus resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The system dynamically adjusts the altitude change rate thresholds based on cloud type and environmental conditions. Rather than using fixed static thresholds, the determination unit adapts the segmentation criteria in real-time according to observed cloud behavior patterns, enabling accurate tracking of rapidly changing clouds while maintaining system simplicity through rule-based dynamic adaptation.
2Measurement precision
If time-sequential observation data with high temporal resolution is analyzed, then the measurement precision of rapid cloud changes improves, but the loss of time for data processing increases
Solution Approach 1:
The patent extracts only the critical altitude change rate information from the full time-sequential observation data, rather than processing all raw radar data. By isolating and analyzing specifically the vertical motion characteristics that indicate developmental stage transitions, the system achieves high-precision rapid change detection while minimizing processing time through selective data extraction.
Solution Approach 2:
The system applies partial action by focusing computational resources on detecting only the threshold-crossing events that signify developmental stage changes, rather than continuously analyzing all data points. This approach processes only the necessary portions of time-sequential data at high resolution, achieving accurate rapid change detection without the time cost of exhaustive continuous processing.
3Reliability
If multiple altitude change rates are calculated from different time sets, then the reliability of cloud developmental stage determination improves, but the device complexity increases
Solution Approach 1:
The patent merges multiple altitude change rate calculations from different time sets into a unified developmental stage determination. By combining the results from first, second, and third time set analyses through logical operations in the determination unit, the system achieves reliable stage identification that accounts for cloud evolution trends while maintaining processing simplicity through systematic integration of multiple measurements.
Data Source
AI summary
An estimation apparatus includes an acquirer, a deriver, and a determiner. The acquirer acquires time-sequential observation data related to cloud-altitude. The deriver derives a first change in cloud altitude from at least a first altitude at a first time and a second altitude at a second time. The deriver derives a second change in cloud altitude from at least a third altitude at a third time and a fourth altitude at a fourth time. The determiner determines a cloud developmental stage based at least in part on the first and second changes in cloud altitude.