Visualizing SWOT Discharge Data from the SWORD of Science (SoS) Dataset

This resource includes a Jupyter notebook that offers a hands-on walkthrough for accessing, exploring, and analyzing global river discharge data derived from the SWOT (Surface Water and Ocean Topography) mission using the SWORD of Science (SoS) dataset. Using NASA's Earthdata earthaccess API and xarray, users learn how to search for and load SWOT SoS granules directly from the cloud without needing to download large files locally. The notebook guides users through identifying SWORD river reaches along a river of interest (e.g., the Rhine), visualizing reach centroid locations on an interactive map, and extracting reach-specific discharge time series from selected discharge algorithm outputs (e.g., HiVDI).

本资源包含一份Jupyter笔记本，提供实操教程，用于借助科学之剑（SWORD of Science, SoS）数据集，对源自水面与海洋地形（Surface Water and Ocean Topography, SWOT）任务的全球河流径流数据开展获取、探索与分析工作。用户可通过美国国家航空航天局（NASA）Earthdata的earthaccess应用程序编程接口与xarray，学习如何直接从云存储中检索并加载SWOT SoS数据颗粒，无需在本地下载大型文件。该笔记本将引导用户完成如下流程：沿目标河流（例如莱茵河）识别SWORD水系河段，在交互式地图上可视化河段质心位置，并从选定的径流算法输出结果（例如HiVDI）中提取对应河段的径流时间序列。