MPAS-Ocean Simulation Data

该数据集是由MPAS-Ocean模型产生的高分辨率模拟数据组成，主要用于海洋气候模拟。数据集采用了非结构化的测地线网格，这些网格详细表示了如温度等多种参数。此外，该数据集有助于理解输入参数对模拟输出影响，并为深度模型的训练提供了有效支持。这一高分辨率数据集在任务上专注于探索海洋模拟中的参数空间。

This dataset consists of high-resolution simulation data generated by the MPAS-Ocean model, and is primarily used for ocean climate simulation. It adopts unstructured geodesic grids that comprehensively represent multiple parameters such as ocean temperature. Furthermore, this dataset helps understand the impact of input parameters on simulation outputs, and provides effective support for the training of deep learning models. This high-resolution dataset focuses on exploring the parameter space in ocean simulation tasks.