{"title":"A new combined statistical method for bias adjustment and downscaling making use of multi-variate bias adjustment and PCA-driven rescaling","authors":"S. Krähenmann, M. Haller, Andreas Walter","doi":"10.1127/metz/2021/1060","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49824,"journal":{"name":"Meteorologische Zeitschrift","volume":"1 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meteorologische Zeitschrift","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1127/metz/2021/1060","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
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Meteorologische Zeitschrift (Contributions to Atmospheric Sciences) accepts high-quality, English language, double peer-reviewed manuscripts on all aspects of observational, theoretical and computational research on the entire field of meteorology and atmospheric physics, including climatology. Manuscripts from applied sectors such as, e.g., Environmental Meteorology or Energy Meteorology are particularly welcome.
Meteorologische Zeitschrift (Contributions to Atmospheric Sciences) represents a natural forum for the meteorological community of Central Europe and worldwide.
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