2018
DOI: 10.1007/s11269-018-2169-0
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A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming

Abstract: Precipitation is regarded as the basic component of the global hydrological cycle. This study develops a recursive approach to long-term prediction of monthly precipitation using genetic programming (GP), taking the Three-River Headwaters Region (TRHR) in China as the study area. The daily precipitation data recorded at 29 meteorological stations during 1961-2014 are collected, among which the data during 1961-2000 are for calibration and the remaining data are for validation. To develop this approach, first, … Show more

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Cited by 17 publications
(9 citation statements)
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“…Normally, GP implements an algorithm that uses random crossover, mutation, a fitness function, and multiple generations of evolution to resolve a user‐defined task, which makes it applicable to automatically discovering a functional relationship between features in data (i.e., symbolic regression, instead of traditional numerical regression). Generally, GP gives each solution in a tree structure (Figure ), with an operator function (e.g., the four rules of arithmetic, trigonometric functions, exponent, and logarithm) in every tree node and an operand (e.g., variable and number) in every terminal node, necessitating the evaluation of mathematical and logical expressions (Liu & Shi, ). Crossover and mutation are the two major processes for producing new individuals.…”
Section: Methodsmentioning
confidence: 99%
“…Normally, GP implements an algorithm that uses random crossover, mutation, a fitness function, and multiple generations of evolution to resolve a user‐defined task, which makes it applicable to automatically discovering a functional relationship between features in data (i.e., symbolic regression, instead of traditional numerical regression). Generally, GP gives each solution in a tree structure (Figure ), with an operator function (e.g., the four rules of arithmetic, trigonometric functions, exponent, and logarithm) in every tree node and an operand (e.g., variable and number) in every terminal node, necessitating the evaluation of mathematical and logical expressions (Liu & Shi, ). Crossover and mutation are the two major processes for producing new individuals.…”
Section: Methodsmentioning
confidence: 99%
“…Hydrology: Hydrology is a branch of water science that widely needs predictions models. GP was widely used in hydrology applications such as precipitation prediction and measurement [123], Rainfall-Runoff modeling [124][125] groundwater quality prediction [126], evapotranspiration estimation [127] etc. A comprehensive review study focuses on GP applications in the field of hydrology [128].…”
Section: Urbanization and Buildingmentioning
confidence: 99%
“…As a common meteorological term, precipitation is of great importance to a variety of fields, such as water resource management, agriculture, and ecological environment assessing [1][2][3][4][5][6]. A better understanding of the microphysical processes of precipitation can be obtained through analyzing the raindrop size distribution (DSD) and the related microphysical parameters.…”
Section: Introductionmentioning
confidence: 99%