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Extreme sea levels in the Baltic Sea under climate change scenarios – Part 1: Model validation and sensitivity

机译:气候变化场景下波罗的海的极端海平面 - 第1部分:模型验证和敏感性

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We analyze extreme sea levels (ESLs) and related uncertainty in an ensemble of regional climate change scenarios for the Baltic Sea. The ERA-40 reanalysis and five Coupled Model Intercomparison Project phase 5 (CMIP5) global general circulation models (GCMs) have been dynamically downscaled with the coupled atmosphere–ice–ocean model RCA4-NEMO (Rossby Centre regional atmospheric model version 4 – Nucleus for European Modelling of the Ocean). The 100-year return levels along the Swedish coast in the ERA-40 hindcast are within the 95 % confidence limits of the observational estimates, except those on the west coast. The ensemble mean of the 100-year return levels averaged over the five GCMs shows biases of less than 10 cm. A series of sensitivity studies explores how the choice of different parameterizations, open boundary conditions and atmospheric forcing affects the estimates of 100-year return levels. A small ensemble of different regional climate models (RCMs) forced with ERA-40 shows the highest uncertainty in ESLs in the southwestern Baltic Sea and in the northeastern part of the Bothnian Bay. Some regions like the Skagerrak, Gulf of Finland and Gulf of Riga are sensitive to the choice of the RCM. A second ensemble of one RCM forced with different GCMs uncovers a lower sensitivity of ESLs against the variance introduced by different GCMs. The uncertainty in the estimates of 100-year return levels introduced by GCMs ranges from 20 to 40 cm at different stations and includes the estimates based on observations. It is of similar size to the 95 % confidence limits of 100-year return levels from tide gauge records.
机译:我们分析了波罗的海区域气候变化情景的集合中的极端海平面(ESLS)和相关的不确定性。 ERA-40重新分析和五个耦合模型相互校准项目第5(CMIP5)全球综合循环模型(GCMS)已经用耦合的大气 - 冰海洋模型RCA4-NEMO(Rossby Center区域大气模型版本4 - Nucleus欧洲海洋建模)。瑞典语海岸的100年返回水平在ERA-40 Hindcast的境地内,在观察估计数之外,除了西海岸之外的观察估计率的95%置信范围内。在五个GCMS上平均的100年回报级别的集合均值显示偏差小于10厘米。一系列敏感性研究探讨了如何选择不同的参数化,开放边界条件和大气强制影响100年返回水平的估计。迫使ERA-40的不同区域气候模型(RCMS)的小集合在西南波罗的海和两岸东北部的ESLS中显示出最高的不确定性。像斯卡拉克,芬兰海湾和里加湾的一些地区对RCM的选择很敏感。具有不同GCMS的一个RCM的第二集合揭示了ESLS对不同GCM引入的方差的较低灵敏度。 GCMS引入的100年回报率估计的不确定性范围为20至40厘米,并包括基于观察的估计。它与潮汐仪表记录有100年返回水平的95%置信度相似。

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