[CJW] Enabling Collaborative Numerical Modeling in Earth Sciences using Knowledge Infrastructure: Landlab Notebooks

!!! This is a fork from https://www.hydroshare.org/resource/5b964154ebf945848087bdc772cc921e/ with some minor modifications for CyberGIS-Jupyer for Water (CJW) platform !!!
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The ability to test hypotheses about hydrology, geomorphology, and atmospheric processes is invaluable to research in the Earth and planetary sciences. To swiftly develop experiments using community resources is an extraordinary emerging opportunity to accelerate the rate of scientific advancement. Knowledge infrastructure is an intellectual framework to understand how people are creating, sharing, and distributing knowledge -- which has dramatically changed and is continually transformed by Internet technologies. We are actively designing a knowledge infrastructure system for earth surface investigations. In this paper, we illustrate how this infrastructure can be utilized to lower common barriers to reproducing modeling experiments. These barriers include: developing education and training materials for classroom use, publishing research that can be replicated by reviewers and readers, and advancing collaborative research by re-using earth surface models in new locations or in new applications. We outline six critical elements to this infrastructure, 1) design of workflows for ease of use by new users; 2) a community-supported collaborative web platform that supports publishing and privacy; 3) data storage that may be distributed to different locations; 4) a software environment; 5) a personalized cloud-based high performance computing (HPC) platform; and 6) a standardized modeling framework that is growing with open source contributions. Our methodology uses the following tools to meet the above functional requirements. Landlab is an open-source modeling toolkit for building, coupling, and exploring two-dimensional numerical models. The Consortium of Universities Allied for Hydrologic Science (CUAHSI) supports the development and maintenance of a JupyterHub server that provides the software environment for the system. Data storage and web access are provided by HydroShare, an online collaborative environment for sharing data and models. The knowledge infrastructure system accelerates knowledge development by providing a suite of modular and interoperable process components that can be combined to create an integrated model. Online collaboration functions provide multiple levels of sharing and privacy settings, open source license options, and DOI publishing, and cloud access to high-speed processing. This allows students, domain experts, collaborators, researcher, and sponsors to interactively execute and explore shared data and modeling resources. Our system is designed to support the user experiences on the continuum from fully developed modeling applications to prototyping new science tools. We have provided three computational narratives for readers to interact with hands-on, problem-based research demonstrations - these are publicly available Jupyter Notebooks available on HydroShare.

To interactively compute with these Notebooks, please see the ReadMe below.
To develop these Notebooks, go to Github: https://github.com/ChristinaB/pub_bandaragoda_etal_ems or https://zenodo.org/badge/latestdoi/187289993

!!! 本数据集源自 https://www.hydroshare.org/resource/5b964154ebf945848087bdc772cc921e/，针对 CyberGIS-Jupyter for Water (CJW) 平台进行了若干微调 !!!
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探讨水文学、地貌学及大气过程假设的能力对于地球和行星科学的研究至关重要。利用社区资源迅速开展实验，成为加速科学进步速率的非凡新兴机遇。知识基础设施作为理解人类如何创造、共享和分配知识的智力框架，其重要性不言而喻，且在互联网技术的推动下，经历了深刻的变革并持续演进。我们正积极设计一个用于地表调查的知识基础设施系统。本文旨在阐述如何利用该基础设施降低复现建模实验的常见障碍。这些障碍包括：开发适用于课堂教学的教育和培训材料、发布可供审稿人和读者复现的研究成果，以及通过在新的地理位置或新应用中重新使用地表模型来推进协作研究。我们概述了该基础设施的六个关键要素，包括：1）为新手用户设计的易于使用的工作流程；2）一个社区支持的协作网络平台，支持发布和隐私保护；3）可分布到不同地点的数据存储；4）软件环境；5）个性化的基于云的高性能计算（HPC）平台；以及6）随着开源贡献不断发展的标准化建模框架。我们的方法论利用以下工具来满足上述功能需求。Landlab 是一个开源建模工具包，用于构建、耦合和探索二维数值模型。大学联盟水文科学协会（CUAHSI）支持开发并维护一个 JupyterHub 服务器，为系统提供软件环境。数据存储和网页访问由 HydroShare 提供，它是一个在线协作环境，用于共享数据和模型。该知识基础设施系统通过提供一套模块化和互操作的流程组件，可以组合创建一个综合模型，从而加速知识发展。在线协作功能提供多级共享和隐私设置、开源许可选项、DOI 发布和高速处理访问权限。这使学生、领域专家、合作者、研究人员和赞助商能够交互式地执行和探索共享的数据和建模资源。我们的系统旨在支持从成熟建模应用到原型新科学工具的用户体验连续体。我们为读者提供了三个计算叙事，以便进行基于问题的、动手研究演示的互动——这些公开可用的 Jupyter Notebook 可在 HydroShare 上找到。

要交互式地使用这些 Notebook 进行计算，请参阅下面的 ReadMe。

要开发这些 Notebook，请访问 Github：https://github.com/ChristinaB/pub_bandaragoda_etal_ems 或 https://zenodo.org/badge/latestdoi/187289993