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Publication Date
25 April 2024

Python Framework Simplifies Drought Vulnerability Modeling in Colorado

Subtitle
Unlocking new insights into water management amidst climate challenges in the Colorado River Basin.
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Statemodify enhances StateMod usability for assessing drought vulnerabilities in Colorado River Basin through Python, simplifying scenario exploration and broadening stakeholder engagement.

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Photo by William Martin via Pexels

Science

The Colorado River Basin faces a severe water shortage due to climate change and growing demand. Managing this water crisis is complex because of uncertain future conditions. We address this by developing "statemodify," a tool that helps explore various future scenarios using a model called StateMod. This tool allows users to easily test different water management strategies and see their effects on water availability. By using Python, a popular programming language, and Jupyter notebooks, we make it easier for more people to understand and use these models, helping to find better solutions for water management.

Impact

Our research addresses the critical issue of water shortages in the Colorado River Basin, which affects millions of people. We introduce "statemodify," a new tool that makes it easier to explore how different scenarios, such as varying future climate, impact water availability. Our work allows scientists to better predict and manage water resources, potentially benefiting fields like environmental science. It also helps other researchers create similar tools for different regions facing water challenges.

Summary

Our research addresses the critical water shortage crisis in the Colorado River Basin (CRB) by developing "statemodify," a Python framework designed to facilitate exploratory modeling for identifying drought vulnerabilities. The CRB faces significant challenges due to aridification and increasing water demands, compounded by complex water rights systems. Our tool, "statemodify," enhances the usability of StateMod, a detailed regional water allocation model, by allowing users to manipulate input files and explore various hydrological scenarios using Python. This framework simplifies the modeling process, enabling researchers and stakeholders to simulate and analyze potential impacts of changes in hydrology, infrastructure, and water rights on the West Slope basins, which are vital to Colorado's water supply and economy.

The framework's integration with Jupyter notebooks make it accessible to a broader audience, including those without extensive technical expertise. By providing a sandbox environment for hypothesis testing, "statemodify" empowers users to explore critical questions about water management impacts. This tool not only broadens the user base for StateMod but also serves as a model for making exploratory modeling more accessible, ultimately contributing to more informed and sustainable management of water resources in complex basins like the CRB.

Point of Contact
Jennie Rice
Institution(s)
Pacific Northwest National Laboratory
Funding Program Area(s)
Publication