Study on the relationship between radar echo characteristics and catalytic effect in artificial weather modification
人工影响天气作业中雷达回波特征与催化效果的关系探讨

摘要

本文探讨了人工影响天气作业中雷达回波特征与催化效果之间的关系。在人工影响天气过程中，雷达回波的特征能够提供有关云层结构、降水过程等重要信息，这些特征对于评估催化效果具有重要意义。通过对雷达回波信号的分析，可以识别出云粒子变化、降水增强的模式，为天气作业提供科学依据。研究表明，雷达回波特征与催化效果的相关性较高，雷达技术在监测云层动态、评估催化剂的效果方面具有重要作用。本研究为优化人工影响天气策略，提升降水效果提供了数据支持与理论依据。

Abstract

This study investigates the relationship between radar echo characteristics and catalytic effects in weather modification operations. During artificial weather modification, radar echo features provide critical information about cloud structure and precipitation processes, which are essential for evaluating catalytic effectiveness. Through analysis of radar echo signals, patterns of cloud particle changes and precipitation enhancement can be identified, offering scientific support for weather modification strategies. The research demonstrates a strong correlation between radar echo characteristics and catalytic effects, highlighting the significant role of radar technology in monitoring cloud dynamics and assessing catalyst performance. This study provides data-driven insights and theoretical foundations to optimize weather modification approaches and enhance precipitation outcomes.