Near and long-term climate change in the resccue project : climate extreme scenarios from downscaled cmip 5 multi-model

semanticscholar(2019)

引用 0|浏览7
暂无评分
摘要
The RESCCUE project aims to improve urban resilience of three pilot cases, Barcelona, Lisbon and Bristol, through an assessment of climate change impacts in several sectors. In this study, future local climate projections and decadal predictions have been obtained for the three cities from a multi-model generated at local scale. For this purpose, a two-step statistical downscaling method was applied to ten CMIP5 model outputs to simulate several climate drivers, focusing on extreme subdaily precipitation. Synthetic extreme events were defined for low and high return periods fitting several theoretical distributions: 2, 3 and 4-parametric versions of Gamma, Weibull, Gumbel and Monjo distributions. Regarding the results, significant increases in extreme values of maximum temperature and subdaily precipitation are expected in the three cities. Finally, extreme wave height and storm surge would decrease for some cases.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要