Abstract. The French Flooding Prevention Action Program of Saint-Malo requires assessment of coastal flooding risks. The first prerequisite is a knowledge of the topography and bathymetry of the bay of Saint-Malo. In addition to existing topo-bathymetric data, the acquisition of new multibeam bathymetric data is performed. The combination of these datasets allows the generation of two high resolution topo-bathymetric digital terrain models. Then, to understand the hydrodynamic conditions which cause coastal flooding, a dense and extensive oceanographic field experiment is conducted. Oceanographic data were acquired using a network of 22 moorings with 37 sensors, during winter 2018–2019. The network included 2 directional buoys, 2 pressure tide gauges, 18 wave pressure gauges, 4 single-point current meters, 7 current profilers and 4 acoustic wave-current profilers from mid-depth (25 m) up to the upper beach and the dike system. The oceanographic dataset provides an overview of hydrodynamics in Saint-Malo bay and wave processes leading to coastal flooding. The combination of high-resolution topo-bathymetric and oceanographic datasets provides a unique capability for model validation and process studies. The topo-bathymetric and oceanographic datasets are available freely at doi : https://doi.org/10.17183/MNT_COTIER_GNB_PAPI_SM_20m_WGS84, https://doi.org/10.17183/MNT_COTIER_PORT_SM_PAPI_SM_5m_WGS84, and https://doi.org/10.17183/CAMPAGNE_OCEANO_STMALO.

中文翻译：

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用于沿海洪水风险评估的地形测深和海洋学数据集：法国圣马洛洪水预防行动计划

摘要。法国圣马洛洪水预防行动计划要求评估沿海洪水风险。第一个先决条件是了解圣马洛湾的地形和水深。除了现有的地形测深数据外，还执行了新的多波束测深数据的采集。这些数据集的组合允许生成两个高分辨率的地形水深数字地形模型。然后，为了了解导致沿海洪水的水动力条件，进行了密集而广泛的海洋野外实验。海洋数据是在 2018-2019 年冬季使用由 22 个系泊设备和 37 个传感器组成的网络获取的。该网络包括2个定向浮标、2个压力潮汐表、18个波浪压力表、4个单点电流表、7 个海流剖面仪和 4 个声波-海流剖面仪，从中深度 (25 m) 到上海滩和堤防系统。海洋学数据集概述了圣马洛湾的流体动力学和导致沿海洪水的波浪过程。高分辨率地形测深和海洋学数据集的组合为模型验证和过程研究提供了独特的功能。地形测深和海洋学数据集可在 doi 上免费获取：https://doi.org/10.17183/MNT_COTIER_GNB_PAPI_SM_20m_WGS84、https://doi.org/10.17183/MNT_COTIER_PORT_SM_PAPI_SM_5m_org_1000000/1000/1000/10/10/10/17 高分辨率地形测深和海洋学数据集的组合为模型验证和过程研究提供了独特的功能。地形测深和海洋学数据集可在 doi 上免费获得：https://doi.org/10.17183/MNT_COTIER_GNB_PAPI_SM_20m_WGS84、https://doi.org/10.17183/MNT_COTIER_PORT_SM_PAPI_SM_5m_org_10000100000000/1000/100000000 高分辨率地形测深和海洋学数据集的组合为模型验证和过程研究提供了独特的功能。地形测深和海洋学数据集可在 doi 上免费获得：https://doi.org/10.17183/MNT_COTIER_GNB_PAPI_SM_20m_WGS84、https://doi.org/10.17183/MNT_COTIER_PORT_SM_PAPI_SM_5m_org_10000100000000/1000/100000000