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Full-Text Articles in Physical Sciences and Mathematics
Snow Depth Distribution Patterns And Consistency From Airborne Lidar Time Series, Megan A. Mason
Snow Depth Distribution Patterns And Consistency From Airborne Lidar Time Series, Megan A. Mason
Boise State University Theses and Dissertations
Snow provides fresh meltwater to over a billion people worldwide. Snow dominated watersheds drive western US water supply and are increasingly important as demand depletes reservoir and groundwater recharge capabilities. This motivates our inter- and intra-annual investigation of snow distribution patterns, leveraging the most comprehensive airborne lidar survey (ALS) dataset for snow. Validation results for ALS from both the NASA SnowEx 2017 campaign in Grand Mesa, Colorado and the time series dataset from the Tuolumne River Basin in the Sierra Nevada, in California, are presented. We then assess the consistency in the snow depth patterns for the entire basin (at …
Applications Of Continuous Snowpack Temperature Monitoring, Peter J. Youngblood
Applications Of Continuous Snowpack Temperature Monitoring, Peter J. Youngblood
Boise State University Theses and Dissertations
Predicting metamorphism within seasonal snowpacks is critical for avalanche forecasting and runoff timing as it relates to water supply management. Snowpack temperature gradients play a key role in snow metamorphism, and their magnitude controls how snow strength changes; therefore, they are of interest to avalanche forecasters. Before major melt, the snowpack must warm to isothermal conditions at 0°C. Measuring this transition from warming to the ripening phase could help improve our current models for runoff timing. Measuring snowpack temperature gradients is currently a non-automated process that requires disturbance of the snow profile, and only gives a snapshot in time of …
Identifying Emergent Agent Types And Effective Practices For Portability, Scalability, And Intercomparison In Water Resource Agent-Based Models, Kendra E. Kaiser, Alejandro N. Flores, Vicken Hillis
Identifying Emergent Agent Types And Effective Practices For Portability, Scalability, And Intercomparison In Water Resource Agent-Based Models, Kendra E. Kaiser, Alejandro N. Flores, Vicken Hillis
Geosciences Faculty Publications and Presentations
Modeling coupled social and biophysical dynamics of water resources systems is increasingly important due to population growth and changes in the water cycle driven by climate change. Models that explicitly represent these coupled dynamics are challenging to design and implement, particularly given the complicated and cross-scale nature of water governance. Agent-based models (ABMs) can capture human decision-making and nested social hierarchies, however, transferability is made difficult by location-specific details. A consistent description of water resources decision-makers (individuals, groups, agencies) would advance the rate of model development and increase synthesis across systems. Reviewing water resources ABMs, we propose eight agent types …