NORA-Surge: A storm surge hindcast for the Norwegian Sea, the North Sea and the Barents Sea

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Nils Melsom Kristensen , Paulina Tedesco , Jean Rabault , Ole Johan Aarnes , Øyvind Saetra , Øyvind Breivik
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Abstract

Knowledge about statistics for water level variations along the coast due to storm surge is important for the utilization of the coastal zone. An open and freely available storm surge hindcast archive covering the coast of Norway and adjacent sea areas spanning the time period 1979–2022 is presented. The storm surge model is forced by wind stress and mean sea level pressure taken from the non-hydrostatic NORA3 atmospheric hindcast. A dataset consisting of observations of water level from more than 90 water level gauges along the coasts of the North Sea and the Norwegian Sea is compiled and quality controlled, and used to assess the performance of the hindcast. The observational dataset is distributed in both time and space, and when considering all the available quality controlled data, the comparison with modeled water levels yield a mean absolute error (MAE) of 9.7 cm and a root mean square error (RMSE) of 12.4 cm. Values for MAE and RMSE scaled by the standard deviation of the observed storm surge for each station are 0.42 and 0.54 standard deviations, respectively. When considering the geographical differences in characteristics of storm surge for different countries/regions, the values of MAE and RMSE are in the range 5.713.9 cm and 7.617.8 cm respectively, and 0.330.46 and 0.420.59 standard deviations for the scaled values. The minimum and maximum values for water level in the hindcast are 2.60 m and 3.92 m. In addition, 100-year return level estimates are calculated from the hindcast, with minimum and maximum values of, respectively, 2.75 m and 3.98 m. All minimum and maximum values are found in the southern North Sea area.

挪威海风暴潮:挪威海、北海和巴伦支海风暴潮后报
了解风暴潮引起的沿岸水位变化的统计数据,对于沿海地区的利用非常重要。本文介绍了一个开放的、免费提供的风暴潮后报档案,覆盖挪威海岸和邻近海域,时间跨度为 1979-2022 年。风暴潮模式由来自非静水 NORA3 大气后报的风压和平均海平面气压驱动。对北海和挪威海沿岸 90 多个水位计的水位观测数据集进行了汇编和质量控制,并用于评估后报的性能。观测数据集在时间和空间上都有分布,在考虑所有可用的质量控制数据时,与模拟水位的比较得出的平均绝对误差(MAE)为 9.7 厘米,均方根误差(RMSE)为 12.4 厘米。平均绝对误差(MAE)和均方根误差(RMSE)的值按每个站点观测到的风暴潮标准偏差缩放,分别为 0.42 和 0.54 个标准偏差。如果考虑到不同国家/地区风暴潮特征的地理差异,其 MAE 和 RMSE 值范围分别为-厘米和-厘米,缩放值范围分别为-标准差和-标准差。后报水位的最小值和最大值分别为米和 3.92 米。此外,根据后报计算出的 100 年重现水位估计值,最小值和最大值分别为米和 3.98 米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ocean Modelling
Ocean Modelling 地学-海洋学
CiteScore
5.50
自引率
9.40%
发文量
86
审稿时长
19.6 weeks
期刊介绍: The main objective of Ocean Modelling is to provide rapid communication between those interested in ocean modelling, whether through direct observation, or through analytical, numerical or laboratory models, and including interactions between physical and biogeochemical or biological phenomena. Because of the intimate links between ocean and atmosphere, involvement of scientists interested in influences of either medium on the other is welcome. The journal has a wide scope and includes ocean-atmosphere interaction in various forms as well as pure ocean results. In addition to primary peer-reviewed papers, the journal provides review papers, preliminary communications, and discussions.
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