CyberGIS-Jupyter for Water (CJW) 2021 Q1 Release Notes

We are pleased to announce a new quarterly release of the CyberGIS-Jupyter for Water (CJW) platform at https://go.illinois.edu/cybergis-jupyter-water. This release includes several new capabilities and features summarized as below.

1) Modeling CAMELS Basins with SUMMA: CAMELS (Catchment Attributes and Meteorology for Large-sample Studies: https://ral.ucar.edu/solutions/products/camels) is a large-sample hydrometeorological dataset that provides catchment attributes and forcings for 671 small- to medium-sized basins across the CONUS. In this release, CJW has included enhancements and new features that support the end-to-end workflow of CAMELS basin modeling with SUMMA. An example notebook is provided to walk users through several essential steps including basin data retrieval and subsetting, setup of single and ensemble models, computation job submission and execution, and model output visualization.

2) RHESSys support via CyberGIS Computing Service: CJW now supports running ensemble RHESSys models on HPC (High-Performance Computing) resources through the newly upgraded CyberGIS Computing Service. Also, the RHESSys Jupyter kernel has been updated to include the latest version of “pyRHESSys” (https://github.com/uva-hydroinformatics/pyRHESSys) and other new tools for model configuration, output analysis, and visualization. See the example notebook below for more details.

3) User testing of Kubernetes-based CJW instance: A newly deployed CJW instance powered by Kubernetes (Aka K8s: https://kubernetes.io/) is now available for user testing at https://go.illinois.edu/cjw-k8s. The adoption of this most sought-after and cutting-edge cloud application deployment technology is expected to significantly enhance the availability and scalability of CJW as we have observed increasing user demand and a surge in new user registrations. We welcome all users to join this testing process and would greatly appreciate your feedback. We anticipate the user testing on the new CJW instance will take 1-3 months, during which the current production CJW (http://go.illinois.edu/cybergis-jupyter-water) will continue to be available in parallel until a final migration plan will be implemented before the next quarterly release of CJW.

Please refer to the following HydroShare resources for details and examples:
Modeling CAMELS Basins with SUMMA:
https://www.hydroshare.org/resource/17bc4f0031554944b8ec7558fd9ee3c2/

Run Ensemble RHESSys models on HPC through CyberGIS Computing Service:
https://www.hydroshare.org/resource/631914af4b8344e5a78e647255cf1d13/

Direct Access to Kubernetes-based CJW:
https://go.illinois.edu/cjw-k8s

Set up OpenWith for Kubernetes-based CJW:
https://www.hydroshare.org/resource/e9686eadd4474b6587d83d9330d25854/

See Release Notes on HydroShare
https://www.hydroshare.org/resource/54f3ec517ba44a83bb486e7d6c4edceb/

Please let us know if you have any questions or run into any problems ([e-mail]). Any feedback would be greatly appreciated.

我们荣幸地宣布，CyberGIS-Jupyter for Water (CJW) 平台（https://go.illinois.edu/cybergis-jupyter-water）的最新季度版本现已发布。本版本新增多项功能和特性，概要如下。

1) 使用SUMMA对CAMELS流域进行建模：CAMELS（大型样本研究中的流域属性和气象数据：https://ral.ucar.edu/solutions/products/camels）是一个大型样本水文气象数据集，为美国大陆的671个中小型流域提供了流域属性和驱动数据。在本版本中，CJW新增了支持SUMMA对CAMELS流域进行端到端建模的增强功能和特性。提供了一个示例笔记本，指导用户完成多个关键步骤，包括流域数据的检索和子集化、单模型和集合模型的设置、计算作业的提交和执行，以及模型输出的可视化。

2) 通过CyberGIS计算服务支持RHESSys：CJW现在可以通过新升级的CyberGIS计算服务在HPC（高性能计算）资源上运行集合RHESSys模型。同时，RHESSys Jupyter内核也已更新，包括最新的“pyRHESSys”（https://github.com/uva-hydroinformatics/pyRHESSys）和其他用于模型配置、输出分析和可视化的新工具。以下示例笔记本提供了更多详细信息。

3) 基于Kubernetes的CJW实例用户测试：一个新的基于Kubernetes（简称K8s：https://kubernetes.io/）的CJW实例现已部署，并在https://go.illinois.edu/cjw-k8s上可供用户进行测试。鉴于用户需求不断增加和新用户注册激增，我们预计采用这一最受欢迎且前沿的云应用程序部署技术将显著提升CJW的可用性和可扩展性。我们欢迎所有用户加入这一测试过程，并衷心期待您的反馈。我们预计对新的CJW实例的用户测试将持续1-3个月，在此期间，当前的生产版CJW（http://go.illinois.edu/cybergis-jupyter-water）将继续并行可用，直至下一季度发布前实施最终的迁移计划。

请参阅以下HydroShare资源以获取详细信息及示例：

- 使用SUMMA对CAMELS流域进行建模：https://www.hydroshare.org/resource/17bc4f0031554944b8ec7558fd9ee3c2/
- 通过CyberGIS计算服务在HPC上运行集合RHESSys模型：https://www.hydroshare.org/resource/631914af4b8344e5a78e647255cf1d13/
- 直接访问基于Kubernetes的CJW：https://go.illinois.edu/cjw-k8s
- 为基于Kubernetes的CJW设置OpenWith：https://www.hydroshare.org/resource/e9686eadd4474b6587d83d9330d25854/
- 查看HydroShare上的发布说明：https://www.hydroshare.org/resource/54f3ec517ba44a83bb486e7d6c4edceb/

如有任何疑问或遇到任何问题，请告知我们（[e-mail]）。任何反馈都将受到高度重视。