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Updated: Jul 9, 2025

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
Published on: April 3, 2014
Multi-order analytical solving computation of rainstorm causal decomposition during typhoons using a designed
Chien-Lin Huang1, Nien-Sheng Hsu1, Chun-Hao Yao1
1Department of Civil Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan.
This study develops a novel model to identify key rain-making factors and their spatiotemporal parameters. The research reveals that similar typhoons possess similar "rain-making DNAs," influencing their movement and rainfall patterns.
Area of Science:
- Atmospheric Science and Meteorology
- Computational Fluid Dynamics
- Nonlinear Systems Analysis
Background:
- Precisely identifying multi-dimensional spatiotemporal rain-making parameters is crucial for accurate weather prediction.
- Existing nonlinear ill-posed problems in rainstorm analysis require advanced computational methods.
- Understanding causal decomposition of rain-generating mechanisms is essential for meteorological modeling.
Purpose of the Study:
- To develop a robust simulation model for identifying multi-dimensional spatiotemporal rain-making parameters.
- To solve nonlinear ill-posed problems in rainstorm analysis using quasi-Newton optimization.
- To characterize rain-generating mechanisms and causal components as 'rain-making DNAs'.
Main Methods:
- Constructed a rain-generating simulation model using composite logical tangent hyperbolic functions.
- Modified Levenberg-Marquardt and Broyden-Fletcher-Goldfarb-Shanno algorithms for a symmetric rank-four structure to compute a stable Hessian.
- Employed vectorized limited switchable step sizes optimized via double-bracketing and Newton's constrained analytical solution.
Main Results:
- Identified 'rain-making DNAs' correlating with typhoon movement patterns; similar DNAs indicate similar trajectories.
- Rain-making DNAs in Taipei were linked to wind force/direction and cloud height (Category 1) or cloud-cover distribution (Category 2).
- Unsteady typhoons produced multi-peak rainfall hydrographs, unlike the weaker steady states of constant-structure typhoons.
Conclusions:
- The developed model accurately decomposes rainstorm causality and identifies critical rain-making parameters.
- Rain-making DNAs provide a novel framework for understanding and predicting typhoon behavior and associated rainfall.
- Rain evolution analysis highlights the influence of wind fields and geographical convergence on precipitation patterns.
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