The Water Management Data Model (WaMDaM) is a relational database and set of software tools that use contextual metadata and controlled vocabularies to organize water management data from multiple sources and models and allow users to more easily interact with their simulation and optimization models. These Jypyter Notebooks provide the directions and code to use WaMDaM and run five use cases that draw on thirteen datasets and models focused in the Bear River Watershed, USA. Use cases allow a user to identify, compare, and choose from multiple types of data, networks, and scenario elements then serve data to and run models.
Python Scripts for WaMDaM Use Cases
Launch Mybinder and run on the fly in the cloud with no login or any set up at all: 😍
https://github.com/WamdamProject/WaMDaM_JupyterNotebooks/blob/master/1_QuerySelect/00_WaMDaM_Directions_and_Use_Cases.ipynb
Static Image of Jupyter Notebooks: https://github.com/WamdamProject/WaMDaM_JupyterNotebooks/tree/master/1_QuerySelect
Recommended Citation:
Check out the WaMDaM manuscript
Adel Abdallah, David E. Rosenberg (2019). " A Data Model to Manage Data for Water Resources Systems Modeling." Environmental Modeling & Software. https://doi.org/10.1016/j.envsoft.2019.02.005
https://github.com/WamdamProject/WaMDaM_JupyterNotebooks/tree/master/2_ServeToModels Adel M. Abdallah, David E. Rheinheimer, David E. Rosenberg, Stephen Knox, Julien J Harou (Accepted), "An Interoperable Software Ecosystem to Store, Visualize, and Publish Water Resources Systems Modelling Data." Environmental Modeling & Software.
https://github.com/WamdamProject/WaMDaM_JupyterNotebooks/tree/master/3_VisualizePublish Adel Abdallah1 and David Rosenberg (In review): Open-Source Software Architecture and Tool to Manage, Populate, Compare, and Analyze WEAP Models and Scenarios. Computers & Geosciences