Abstract The sea level station operating since 1996 at Mazagón (Huelva, Spain) has been progressively upgraded to fit tsunami warning requirements, due to its location in one of the main regions at risk. Its radar water level sensor was complemented in 2017, with the addition of a pressure sensor. The performance of both sea level sensors and their response to sea level oscillations, at different frequencies, is assessed. Particular emphasis is put on the effect of extreme events, such as Storm Emma, when alternative methods to obtain 1-min data are tested, in contrast to the one based on arithmetic means. The overall differences are small, for the whole period of study (centered-root-mean-square-error below 1 cm, for 5-min, and hourly data; similar tidal parameters and sea level oscillations with periods between 30 s and 5 min). However, during Storm Emma, the pressure sensor presents sensibly lower readings than the radar, with the centered-root-mean-square-error rising to 80 mm on the March 2nd 2018. A new method to compute 1-min data, based on medians, reduced this value to 10 mm for the same day.

中文翻译：

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韦尔瓦（西班牙）海啸就绪站及其与风暴艾玛的互动（2018 年 3 月）

摘要 自 1996 年以来在 Mazagón（西班牙韦尔瓦）运行的海平面站已逐步升级以适应海啸预警要求，因为它位于面临风险的主要地区之一。它的雷达水位传感器在 2017 年得到了补充，增加了一个压力传感器。评估了海平面传感器的性能及其对不同频率的海平面振荡的响应。与基于算术平均值的方法相比，在测试获取 1 分钟数据的替代方法时，特别强调极端事件（例如风暴艾玛）的影响。在整个研究期间，总体差异很小（中心均方根误差低于 1 厘米，5 分钟和每小时数据；类似的潮汐参数和海平面波动，周期在 30 秒和 5 分钟之间）。然而，