{"title":"采用微遗传算法对随机强迫参数进行优化,建立了WRF中地表变量的随机摄动参数化方案","authors":"S. Lim, S. K. Park, C. Cassardo","doi":"10.1142/9789811260100_0004","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":269846,"journal":{"name":"18th Annual Meeting of the Asia Oceania Geosciences Society","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DEVELOPMENT OF STOCHASTICALLY PERTURBED PARAMETERIZATION SCHEME FOR THE SURFACE VARIABLES IN WRF BY OPTIMIZING THE RANDOM FORCING PARAMETERS USING THE MICRO-GENETIC ALGORITHM\",\"authors\":\"S. Lim, S. K. Park, C. Cassardo\",\"doi\":\"10.1142/9789811260100_0004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":269846,\"journal\":{\"name\":\"18th Annual Meeting of the Asia Oceania Geosciences Society\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th Annual Meeting of the Asia Oceania Geosciences Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/9789811260100_0004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th Annual Meeting of the Asia Oceania Geosciences Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9789811260100_0004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DEVELOPMENT OF STOCHASTICALLY PERTURBED PARAMETERIZATION SCHEME FOR THE SURFACE VARIABLES IN WRF BY OPTIMIZING THE RANDOM FORCING PARAMETERS USING THE MICRO-GENETIC ALGORITHM