SUMMA Simulations using CAMELS Datasets for HPC use with CyberGIS-Jupyter for Water

This resource, configured for execution in connected JupyterHub compute platforms using the CyberGIS-Jupyter for Water (CJW) environment's supported High-Performance Computing (HPC) resource (XSEDE Comet) through CyberGIS-Compute Service, helps the modelers to reproduce and build on the results from the paper (Van Beusekom et al., 2021).

For this purpose, three different Jupyter notebooks are developed and included in this resource which explore the paper goal for one example CAMELS site and a pre-selected period of 18-month simulation to demonstrate the capabilities of the notebooks. The first notebook processes the raw input data from CAMELS dataset to be used as input for SUMMA model. The second notebook utilizes the CJW environment's supported HPC resource (XSEDE Comet) through CyberGIS-Compute Service to executes SUMMA model. This notebook uses the input data from first notebook using original and altered forcing, as per further described in the notebook. Finally, the third notebook utilizes the outputs from notebook 2 and visualizes the sensitivity of SUMMA model outputs using Kling-Gupta Efficiency (KGE). More information about each Jupyter notebook and a step-by-step instructions on how to run the notebooks can be found in the Readme.md fie included in this resource. Using these three notebooks, modelers can apply the methodology mentioned above to any (one to all) of the 671 CAMELS basins and simulation periods of their choice. As this resource uses HPC, it enables a high-speed running of simulations which makes it suitable for larger simulations (even as large as the entire 671 CAMELS sites and the whole 60-month simulation period used in the paper) practical and much faster than when no HPC is used.

本资源，经配置后可在支持 CyberGIS-Jupyter for Water (CJW) 环境的高性能计算 (HPC) 资源（XSEDE Comet）上执行，通过 CyberGIS-Compute 服务，旨在协助模型构建者复制并基于 Van Beusekom 等人（2021）论文中的结果进行拓展。为此，本资源中包含三个不同的 Jupyter 笔记本，它们针对一个示例 CAMELS 站点及预选的 18 个月模拟周期，探讨了论文的目标，以展示笔记本的功能。第一个笔记本处理来自 CAMELS 数据集的原始输入数据，用作 SUMMA 模型的输入。第二个笔记本利用 CJW 环境支持的 HPC 资源（XSEDE Comet）通过 CyberGIS-Compute 服务执行 SUMMA 模型。此笔记本使用第一个笔记本的输入数据，结合原始和修改后的强迫条件进行模拟，具体内容在笔记本中进一步描述。最后，第三个笔记本利用第二个笔记本的输出结果，并使用 Kling-Gupta 效率（KGE）可视化 SUMMA 模型输出的敏感性。有关每个 Jupyter 笔记本的详细信息以及如何运行笔记本的逐步指导，可在包含在本资源中的 Readme.md 文件中找到。通过这三个笔记本，模型构建者可以将上述方法应用于 671 个 CAMELS 河系中的任意（一个或全部）及其选择的模拟周期。由于本资源使用 HPC，它能够实现模拟的高效运行，使其适用于更大规模的模拟（甚至可达论文中使用的 671 个 CAMELS 站点和整个 60 个月模拟周期），相较于不使用 HPC 的方案，此方法更为实用且速度更快。