High-resolution temperature and precipitation projections over Ontario, Canada: a coupled dynamical-statistical approach
作者： Xiuquan Wang , Guohe Huang , Qianguo Lin , Xianghui Nie , Jinliang Liu
DOI: 10.1002/QJ.2421
关键词:
摘要: We develop a dynamical–statistical downscaling approach by coupling the PRECIS regional modelling system and statistical method—SCADS—to construct very high resolution climate projections for studying change impacts at local scales. The coupled performs well in hindcasting mean temperature of present-day climate, while performance precipitation is relatively poor due to its spatial variability nonlinear nature but patterns are captured. then apply projecting future over province Ontario, Canada fine 10 km. results show that there would be significant warming trend throughout this century entire less projected most selected weather stations. also demonstrate apparent amount no noticeable changes found patterns.
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