首页> 外国专利> Interface system between Micro-Genetic Algorithm and Weather Research and Forecasting model(μ-GA-WRF) for the optimization of a scheme combination of physics parameterizations in the WRF model

Interface system between Micro-Genetic Algorithm and Weather Research and Forecasting model(μ-GA-WRF) for the optimization of a scheme combination of physics parameterizations in the WRF model

机译:微遗传算法与天气研究与预测模型(μ-GA-WRF)的界面系统,用于优化WRF模型中物理参数化的方案组合

摘要

For optimizing the combination of physics process parameterization schemes of WRF models -GA-WRF coupling systems are disclosed. The method for determining the combination of physical process parameterization schemes is a method of determining the combination of physical process parameterization schemes of the current generation consisting of one or more individuals corresponding to the physical process parameterization scheme combination through random selection of the physical process parameterization schemes of the WRF (Weather Research and Forecasting) model using a genetic algorithm. generating a population; evaluating fitness by simulating a WRF model for each of the individuals constituting the current generation population; and determining whether or not to reproduce the individuals constituting the population based on the evaluated fitness level.
机译:为了优化物理过程的组合,公开了WRF模型的参数化方案-GA-WRF耦合系统。 用于确定物理过程参数化方案的组合的方法是确定由对应于物理过程参数化方案组合对应的一个或多个单独的物理过程参数化方案的组合,通过物理过程参数化方案的随机选择 利用遗传算法的WRF(天气研究和预测)模型。 产生人口; 通过模拟构成当前群体的每个人的WRF模型来评估健康; 并确定是否基于评估的健身水平重现构成人口的个体。

著录项

  • 公开/公告号KR20210157077A

    专利类型

  • 公开/公告日2021-12-28

    原文格式PDF

  • 申请/专利权人 이화여자대학교 산학협력단;

    申请/专利号KR1020200074917

  • 发明设计人 박선기;박소정;

    申请日2020-06-19

  • 分类号G01W1/10;G06N3/12;

  • 国家 KR

  • 入库时间 2022-08-24 23:05:10

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