METHOD AND SYSTEM FOR ANALYZING PRECIPITATION NORMALIZATION BY GRADIENT-BASED PARAMETER OPTIMIZATION
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United States of America
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Jan 16, 2025
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Aug 17, 2022
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Aug 17, 2022
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Abstract
The present invention provides a method and system for analyzing precipitation normalization by gradient-based parameter optimization. The method includes the following steps: acquiring precipitation data to be analyzed; constructing a normal transformation model to perform normal transformation on the precipitation data, to obtain a normal variable Z; letting the normal variable Z to obey normal distribution to construct a joint probability density function of the normal variable Z; constructing a likelihood function for parameter optimization based on the normal transformation model and the joint probability density function; deducing an analytic gradient vector of the likelihood function to optimize the likelihood function till a predetermined termination condition is satisfied, to obtain the optimum parameter enabling the maximum value of the likelihood function; and updating the normal transformation model based on the optimum parameter, and performing normal transformation and modeling analysis on the precipitation data to obtain a precipitation normalization analysis result.
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