ABSTRACT:

This resource includes tutorial Jupyter Notebooks for Python Modeling Toolkit (pymt https://pymt.readthedocs.io). Pymt was developed by the Community Surface Dynamics Modeling System (CSDMS https://csdms.colorado.edu/), that provides the tools needed for coupling models that expose the Basic Model Interface (BMI https://bmi.readthedocs.io/).

HydroShare users can test and run those Jupyter Notebooks directly through the "CUAHSI JupyterHub" web app with the following steps:
- click on the "Open with" button. (on the top right corner of the page)
- select "CUAHSI JupyterHub". (Need to join the CUAHSI JupyterHub group for the first time web app user.)
- select "CSDMS Workbench" server option. (Make sure to select the right server option.)

For more details, please check the "Instruction" PDF file listed in this resource. If you have trouble running those notebooks, please create a GitHub issue at the CSDMS Help Desk: https://github.com/csdms/help-desk/issues

ABSTRACT:

Scope - GIS inputs, products, and final outputs for 1km source areas in PR. Jupyter Notebooks with Landlab code. This is a Discoverable resource with private geo locations. Users must request access and sign the responsible use agreement managed by Graciela Ramirez-Toro.

Overall project Objective: Develop a prototype cyberinfrastructure to assess conditions of environmental resources (including drinking water quality and landscape conditions) and population health impacted by natural disasters like Hurricane Maria. We have adapted existing cyberinfrastructure components to foster streamlined disaster preparedness, recovery, and population health research.

Community Surface Dynamics Modeling System (CSDMS)
Eric Hutton is the Senior Software Engineer with experience in multi-language codes, sediment transport and geophysical model development, and model coupling. Eric is overseeing and coordinating the software development necessary to ingest and use the identified data into the Landlab framework. Greg Tucker is the Director of CSDMS and PI on the NSF Landlab project. Lynn McCready is supporting the organization of planning and user testing workshops.

Original types of data - some is in other resources
Geospatial Data includes roads and road closure information, Safe Drinking Water Information System point locations of Community and Public Water Systems, locations of 69 hospitals in Puerto Rico, mudslide locations and landslide hazards obtained from the USGS, and storm deforestation rasters generated from satellite data. An effort will be taken to acquire information about electrical power availability in relation to hospitals and drinking water treatment and distribution systems, it is unknown at this time if these data may become available. Population health data publicly available from the Institute for Health Metrics and Evaluation (IHME) will be used at the highest resolution available (5 x 5 km) to map the Local Burden of Disease for Puerto Rico.