Rainfall Attenuation Modeling for Future Climate Change
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Solution Overview
Problem
Conventional rainfall attenuation models based on empirical and statistical parameters struggle to account for changes in rainfall due to long-term climate change caused by global warming, making it difficult to predict electromagnetic wave attenuation accurately in future scenarios.
Innovation Solution
A new rainfall attenuation model that considers the influence of future long-term climate change by estimating weather parameters such as rainfall intensity and height using past data and updating correction terms to predict electromagnetic wave attenuation in the upper airspace.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional rainfall attenuation models use empirical and statistical parameters based on past measurement data, then the models can provide stable predictions for current conditions, but they cannot accurately predict future attenuation under long-term climate change
Solution Approach 1:
The patent applies preliminary action by estimating future weather parameters (rainfall intensity, rainfall height) before actual climate change occurs. The system uses past weather data to establish estimation equations that predict future atmospheric conditions, allowing the rainfall attenuation model to be pre-adjusted for anticipated climate change effects rather than reacting to them after occurrence.
Solution Approach 2:
The patent implements parameter changes by modifying the rainfall attenuation model to incorporate future weather estimation parameters. The system changes the input parameters from static past measurement data to dynamic estimated future parameters (including future rainfall intensity R0.01(t) and rainfall height hR(t)), enabling the model to adapt to projected climate change conditions while maintaining its fundamental attenuation calculation structure.
2Reliability
If the rainfall attenuation model is updated to consider future climate change, then it can predict future attenuation more accurately, but it becomes more complex in terms of data processing and estimation
Solution Approach 1:
The patent uses an intermediary approach by introducing weather estimation equations as a intermediate layer between past weather data and the rainfall attenuation model. These estimation equations act as mediators that translate historical climate data into future weather parameter predictions, which then feed into the attenuation calculation. This intermediary structure adds systematic complexity but maintains clarity in the prediction workflow.
Solution Approach 2:
The patent applies segmentation by dividing the prediction process into distinct modular components: (1) data acquisition module for collecting past weather data, (2) estimation equation module for calculating future weather parameters, and (3) attenuation calculation module for determining electromagnetic wave attenuation. This segmentation allows each component to be developed and validated independently, managing overall system complexity through modular architecture.
Data Source
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AI summary
An apparatus, method, and program capable of predicting an attenuation of electromagnetic waves in an upper airspace of a target area in consideration of the influence of long-term weather changes in future are provided. An apparatus for predicting an attenuation of electromagnetic waves between a radio apparatus located above a target area and a terrestrial surface is provided with a data acquisition section for acquiring past weather data in the target area, and an estimation section for estimating a weather corresponding to a future target year in the upper airspace of the target area based on the past weather data, and estimating an attenuation of electromagnetic waves based on an estimation result of the weather.