Simulation result of the Hyospy oil spill operational system for uncertainty quantification and reliability assessment in oil spill forecasting system

This dataset is associated with the publication: Hou, X., Hodges, B.R., Feng, D., & Liu, Q. 2017. Uncertainty quantification and reliability assessment in operational oil spill forecast modeling system. Mar. Pollut. Bull. 116(1-2): 420-433. https://doi.org/10.1016/j.marpolbul.2017.01.038. The dataset contains the simulation result of Hyospy system of all the case studies as indicated in the publication. The running period of the system is from 7/26/2014-4/11/2015, while the oil spill model runs a 48 hours simulation at each date during this period. The data is distributed into several folders with each under the name of the running date. In each folder, there includes the setup information of the Hyospy system, the input and output of the hydrodynamic model (SELFE), the input and output of the oil spill model (GNOME). For example, in the folder 1_29_2015, there are scripts of the Hyospy system, among which hydro.py defines the setup information and parameters. In each folder, there are 17 sub-folders, each of which represents the input and output of the hydrodynamic model with various weightings of forecast and hindcast boundary conditions. In the folder GNOME, the hydrodynamic outputs are transformed to those can be read by GNOME. More details of the structure of this dataset can be found on Github: https://github.com/utcivil/HyosPy.本数据集关联的学术文献为：Hou, X.、Hodges, B.R.、Feng, D.与Liu, Q.于2017年发表的《作业化溢油预报建模系统中的不确定性量化与可靠性评估》，刊载于《海洋污染通报》（Mar. Pollut. Bull.）116卷(1-2期): 420-433，DOI: 10.1016/j.marpolbul.2017.01.038。本数据集包含该文献中提及的全部案例研究的Hyospy系统（Hyospy）模拟结果。该系统的运行时段为2014年7月26日至2015年4月11日，在此期间该溢油模型每日均开展48小时的模拟运算。数据集被划分为多个文件夹，每个文件夹以对应运行日期命名。每个文件夹内均包含Hyospy系统的配置信息、水动力模型（SELFE）的输入与输出文件，以及溢油模型（GNOME）的输入与输出文件。以名为1_29_2015的文件夹为例，其内包含Hyospy系统的脚本文件，其中hydro.py用于定义系统的配置信息与运行参数。每个主文件夹内还包含17个子文件夹，每个子文件夹对应一组采用不同预报与后报边界条件权重的水动力模型输入与输出结果。在GNOME文件夹中，水动力模型的输出结果被转换为GNOME可读取的格式。本数据集的更多结构细节可参阅GitHub仓库：https://github.com/utcivil/HyosPy。