Instructor: Anne Neale (EPA)
This half day workshop will demonstrate the geospatial analysis tool, Enviroatlas. EnviroAtlas is a web-based tool that combines maps, analysis tools, and interpretive information on ecosystem services.
Introduction to the Water, Energy, and Biogeochemical Model (WEBMOD)
Instructor: Rick Webb
This half day workshop will demonstrate how WEBMOD simulates flows of water, major ions, stable isotopes, and temperature for a natural watershed draining the continental divide in Colorado and fields irrigated with water from the Yakima River in Washington. The course will be taught by Richard Webb, the principal developer of WEBMOD and author of the Users Manual. Participants will be provided with background theory, software and input files and learn how to run the model in batch mode and within a Graphical User Interface. WEBMOD can provide the user or water manager with robust predictions on expected changes in water quantity and quality given a variety of scenarios of changing climate, population, and land use.
CUAHSI Water Data Services Workshop
Instructors: Anthony Castronova, CUAHSI; Danielle Tijerina, CUAHSI
This half day workshop will focus on hydrologic modeling in the cloud using CUAHSI’s community compute platform: JupyterHub. This free and open-source service provides an environment to facilitate web-based scientific programming, data analysis, and hydrologic modeling. The CUAHSI JupyterHub enables scientists to explore, modify, and interact with data inside a remote execution environment, using the Python and R programming languages. The overall goal of this project is to combine interactive coding notebooks with data repositories, e.g. Hydrologic Information System, HydroShare, Earthdata, etc., to provide a feature rich computational environment for water scientists. The workshop will introduce:
- Jupyter notebooks for scientific applications,
- how to create and interact with code in the CUAHSI JupyterHub for data collection, analysis, and reproducible science, and
- leveraging data and code from online repositories to demonstrate common use-cases for processing water data and executing model instances.
The cloud services presented in this workshop provide a convenient and freely accessible platform for data discovery, collaboration, and reproducibility. Workshop attendees will work through hands-on examples ranging from education and outreach directed exercises to scientific analysis and modeling applications. Attendees will gain a thorough understanding of how to access and use the CUAHSI JupyterHub and associated tools.
Soil and Water Assessment Tool (SWAT)
Instructor: Raghavan “Srini” Srinivasan
This full day workshop will demonstrate the newest version of the model, SWAT+. In this workshop a series of presentation about the SWAT+ model theory and its applications will be presented in the morning sessions followed by demo of how to put together a SWAT+ project using GIS (QGIS), SWAT+Editor, and QGIS visualization and interpretation of the model outputs in the afternoon. Participants will be instructed on how to obtain the software and updates.
Big Data in Watersheds: Integrating Wetlands and Floodplains in Hydrologic Modeling
Instructors: Adnan Rajib, Qiusheng Wu, Charles Lane, and Heather Golden
Floodplains and wetlands have considerable effects on watershed hydrology, biogeochemical cycling, and ecology. Complex GIS formats, large data volumes, and inconsistency with the models’ spatial resolution and source-code have made floodplain and wetland integration in watershed models a “Big Data” problem.
In this half day workshop, we address these issues through the introduction of a coupled next-generation 100-year floodplain data layer and topographic approach for spatially explicit estimation of floodplain and wetland water storage. The workshop will include a hands-on interactive session, introducing a new semi-automatic tool which extracts the floodplain boundary and wetland water storage data for any given watershed via simple user commands in a web-based interface and seamlessly integrates the data in a user-provided hydrologic model. We will prototype this data-model integration architecture using SWAT, concurrently providing examples for other commonly used hydrologic models as well. Attendees will increase their geospatial representation/information and modeling capacity to efficiently quantify the role of floodplains and wetlands on landscape ecohydrological processes.