OceanDepths：海面-水下配对观测全球数据集 OceanDepths: A Global Dataset of Paired Subsurface and Surface Ocean Observations

精读摘要

海洋覆盖地球表面 70% 以上，观测密度却远低于陆地和大气；此前也没有标准化、高分辨率的数据集，能把卫星海面场与同位置的原位深度剖面配对成 AI 就绪格式。OceanDepths 数据集填补了这一空白，首次提供全球范围的成对海面-水下观测数据，可直接用于机器学习训练。这对 AI 驱动的海洋科学、气候建模和生态监测都有基础性意义。 The ocean covers over 70 percent of Earth's surface yet is far less observed than land or atmosphere, and no standardized high-resolution dataset has paired satellite surface fields with co-located in situ depth profiles in an AI-ready format. OceanDepths fills this gap with a global dataset of paired surface and subsurface observations. It provides a foundation for AI-driven ocean science and climate research.