{"title":"ECMWF模型的后处理策略","authors":"G. Oord, Xavier Yepes, M. Acosta","doi":"10.1109/eScience.2018.00121","DOIUrl":null,"url":null,"abstract":"Climate models are steadily evolving towards higher resolution and the upcoming model inter-comparison projects require an unprecedented number of produced variables. As a consequence, the post-processing of the output of these models start to form a bottleneck for CMIP experiments. We discuss how the ece2cmor3 tool processes the EC-Earth model output in parallel, and present a new coupling of the ECMWF weather model to the XIOS library to allow on-the-fly post-processing of its atmospheric fields.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"26 1","pages":"401-401"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Post-Processing Strategies for the ECMWF Model\",\"authors\":\"G. Oord, Xavier Yepes, M. Acosta\",\"doi\":\"10.1109/eScience.2018.00121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate models are steadily evolving towards higher resolution and the upcoming model inter-comparison projects require an unprecedented number of produced variables. As a consequence, the post-processing of the output of these models start to form a bottleneck for CMIP experiments. We discuss how the ece2cmor3 tool processes the EC-Earth model output in parallel, and present a new coupling of the ECMWF weather model to the XIOS library to allow on-the-fly post-processing of its atmospheric fields.\",\"PeriodicalId\":6476,\"journal\":{\"name\":\"2018 IEEE 14th International Conference on e-Science (e-Science)\",\"volume\":\"26 1\",\"pages\":\"401-401\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 14th International Conference on e-Science (e-Science)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/eScience.2018.00121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 14th International Conference on e-Science (e-Science)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eScience.2018.00121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Climate models are steadily evolving towards higher resolution and the upcoming model inter-comparison projects require an unprecedented number of produced variables. As a consequence, the post-processing of the output of these models start to form a bottleneck for CMIP experiments. We discuss how the ece2cmor3 tool processes the EC-Earth model output in parallel, and present a new coupling of the ECMWF weather model to the XIOS library to allow on-the-fly post-processing of its atmospheric fields.