FOCCUS WP9 MS9.1 Applications prototype: ESC1 - 1.2.3 - Western Black Sea Erosion Assessment

OverviewThe output from the GCOAST-BS model is provided as an example for the FOCCUS WP9 MS9.1 Applications prototype: ESC1-1.2.3 - Coastal erosion dynamics assessment of the North-Western Black Sea using cross-scale models. This prototype dataset demonstrates the application of GCOAST-BS in assessing coastal erosion. It is derived from simulations conducted with the Member State Coastal System GCOAST-BS, which utilizes a seamless, unstructured domain coupled model integrating hydrodynamic, wave, and sediment modules. GCOAST-BS Setup for Northwestern Black Sea The results presented here are derived from numerical experiments conducted using the hydrodynamic model SCHISM, coupled with the wave model WWM and the sediment transport model SED3D. The model setup is detailed in FOCCUS deliverables D6.1 and D8.1. For further information, please refer to the updated SCHISM manual available at https://ccrm.vims.edu/schismweb/schism_manual.html, as well as the list of related publications at https://ccrm.vims.edu/schismweb/schism_pubs.html. Data Structure This dataset includes four key fields relevant to coastal erosion assessment, provided in NetCDF format along with corresponding map plots (PNG). The model outputs are delivered in the file gcoast_bs_ESC1.nc, whose contents are detailed in the table below. Variable Description Unit/Content lat Latitude Decimal degrees lon Longitude Decimal degrees taub_p95 95th percentile of combined bottom stress Pa sed_p95 95th percentile of near-bottom suspended sediment concentration kg/m³ SWH_p95 95th percentile of wave significant height m taucr_p95 95th percentile of critical bottom stress, categorized: 0 = No risk, 1 = Low, 2 = Increased, 3 = High Risk index (0–3) References for resources used on the map plots:Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography: Guidelines for effective and accurate colormap selection. Oceanography, 29(3), 9-13.Tian, D., Leong, W. J., Fröhlich, Y., Grund, M., Schlitzer, W., Jones, M., Toney, L., Yao, J., Tong, J.-H., Magen, Y., Materna, K., Belem, A., Newton, T., Anant, A., Ziebarth, M., Quinn, J., Uieda, L., & Wessel, P. (2025). PyGMT: A Python interface for the Generic Mapping Tools (v0.17.0). Zenodo. https://doi.org/10.5281/zenodo.17156962概述：本数据集提供了GCOAST-BS模型的输出结果，作为FOCCUS WP9 MS9.1应用原型的示例：ESC1-1.2.3——基于跨尺度模型的西北黑海海岸侵蚀动态评估。本原型数据集展示了GCOAST-BS模型在海岸侵蚀评估中的应用场景，其数据源自成员国海岸系统GCOAST-BS的数值模拟实验，该系统采用无缝非结构化区域耦合模型，集成了水动力、波浪与泥沙模块。 西北黑海GCOAST-BS模型配置 本次呈现的结果源自基于水动力模型SCHISM、波浪模型WWM以及泥沙输运模型SED3D耦合开展的数值试验。该模型的具体设置细节可参考FOCCUS交付成果D6.1与D8.1。如需进一步了解相关信息，请查阅更新版SCHISM官方手册（https://ccrm.vims.edu/schismweb/schism_manual.html）以及相关出版物列表（https://ccrm.vims.edu/schismweb/schism_pubs.html）。 数据结构 本数据集包含4项与海岸侵蚀评估相关的核心字段，以NetCDF格式存储，并附带对应的地图绘图文件（PNG格式）。模型输出文件为gcoast_bs_ESC1.nc，其具体内容如下表所示： | 变量名 | 描述 | 单位/内容 | | ---- | ---- | ---- | | lat | 纬度 | 十进制度 | | lon | 经度 | 十进制度 | | taub_p95 | 组合底应力的95百分位值 | Pa | | sed_p95 | 近底悬浮泥沙浓度的95百分位值 | kg/m³ | | SWH_p95 | 有效波高的95百分位值 | m | | taucr_p95 | 临界底应力的95百分位值，分类如下：0=无风险，1=低风险，2=较高风险，3=高风险 | 风险指数（0–3） | 地图绘图所使用资源的参考文献： Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). 海洋学真彩：高效精准配色方案选择指南. 《海洋学》, 29(3), 9-13. Tian, D., Leong, W. J., Fröhlich, Y., Grund, M., Schlitzer, W., Jones, M., Toney, L., Yao, J., Tong, J.-H., Magen, Y., Materna, K., Belem, A., Newton, T., Anant, A., Ziebarth, M., Quinn, J., Uieda, L., & Wessel, P. (2025). PyGMT：通用制图工具的Python接口（v0.17.0）. Zenodo. https://doi.org/10.5281/zenodo.17156962