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    Analysis of Atmospheric and Hydrologic Processes and Improving Streamflow Forecasts in Semi-Arid Environments with Complex Terrain

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    Author
    Lahmers, Timothy
    Issue Date
    2019
    Advisor
    Castro, Christopher L.
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Arid and semi-arid regions cover 40% of the Earth’s surface and inhabit 40% of the global population. Within these regions there is a need to improve our understanding of the interactions between hydrologic processes and the atmosphere. This dissertation examines these processes in the southwest US. Channel infiltration impacts the hydrologic response in semi-arid regions, diminishing streamflow and providing a source for groundwater recharge and evapotranspiration from riparian zones. We implemented a conceptual channel infiltration function in the WRF-Hydro hydrologic model. After calibration, the updated model has reduced streamflow bias within the Walnut Gulch Experimental Watershed and the Babocomari River in southeast Arizona. Accounting for channel infiltration and calibrating the model also reduces evapotranspiration errors. Calibration increased high soil moisture bias, which is an underlying limitation of the WRF-Hydro structure and calibration methodology. We also analyzed the impact of channel infiltration and calibration within 49 basins around the western US. This work showed that calibration in many of these basins results in excess baseflow compared to surface flow, which is partly due to limits of the optimization statistic and deep groundwater recharge that is not accounted for. We also consider land-atmosphere interactions in the western US. The WRF atmospheric model is coupled to the WRF-Hydro hydrologic model. Both the uncoupled WRF and otherwise identical WRF-Hydro model were executed for the 2017 and 2018 NAM seasons in. Results showed that surface and subsurface flow from WRF-Hydro increases soil moisture and latent heat. This increases the amount of instability and moisture available for deep convection, and enhances growth of NAM convection. These results indicate the role of the land surface and of lateral moisture redistribution on the lower atmosphere and for convection.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Hydrometeorology
    Degree Grantor
    University of Arizona
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