Luke McGuire
University of Arizona
Recent Activity
ABSTRACT:
This resource contains data from four Automated Evaluation in Real Time (ALERT) tipping bucket rain gauges that were installed within the perimeter of the 2021 Telegraph Fire in central Arizona, USA.
ABSTRACT:
This resource contains hydrologic monitoring data collected following the 2022 Contreras Fire as well as data related to soil physical, chemical, and hydraulic properties.
ABSTRACT:
This resource contains data collected following the 2020 Tadpole Fire in western New Mexico, USA. Also included is code for a point-scale runoff model used to estimate runoff ratios and peak runoff discharge based on estimates of soil hydraulic properties. These data are referenced in a publication titled "Characteristics of debris flow prone watersheds and triggering rainstorms following the Tadpole Fire, New Mexico, USA."
ABSTRACT:
This resource contains data collected following the 2020 Bush Fire as well as infiltration data collected at Lucky Hills (LH103) in the Walnut Gulch Experimental Watershed. The data are used by Liu et al. (in review, "Guidance for parameterizing post-fire hydrologic models with in situ infiltration measurements").
ABSTRACT:
This resource contains Jupyter notebooks used in GEOS 450/550 (Geomorphology and Landscape Evolution) at the University of Arizona. Much of this content was inspired by or based on similar tutorials shared by others, including many that can be found at the Landlab github site (https://github.com/landlab/landlab).
These notebooks are designed to facilitate learning about landscape evolution and numerical modeling with Landlab. The notebooks are organized into two broad categories, Homework and Tutorials. Tutorials were generally used during class in conjunction with other course material (e.g. lecture slides, discussion, etc) so may not be as self-contained as the notebooks designed as homework assignments.
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ABSTRACT:
This resource contains data related to a study of near-surface pyrogenic carbon concentration on hillslopes burned by the 2018 Buzzard Fire in the Gila National Forest, NM.

Created: July 19, 2021, 9:22 p.m.
Authors: McGuire, Luke · Alexander Gorr · Ann Youberg · Francis Rengers
ABSTRACT:
This resource contains C code for the Progressive Debris-Flow routing and inundation model (ProDF) as well as topographic data needed to run a model simulation for inundation downstream of the Thomas Fire burn scar near Montecito, California. Python and Matlab scripts illustrate how to write needed inputs files for ProDF as well as how to read and visualize model output. A detailed description of the model can be found in the following reference:
Gorr, A.N., McGuire, L.A., Youberg, A.M., Rengers, F.K. A progressive flow-routing model for rapid assessment of debris-flow inundation. Landslides (2022). https://doi.org/10.1007/s10346-022-01890-y

ABSTRACT:
This resource contains data related to recovery following the 2018 Buzzard Fire, 2017 Pinal Fire, and 2016 Fish Fire.

Created: July 26, 2022, 7:05 p.m.
Authors: McGuire, Luke · Scott McCoy · Odin Marc · William Struble · Katherine Barnhart
ABSTRACT:
This resource contains code to run the models described in "Steady-state forms of channel profiles shaped by debris-flow and fluvial processes." There are two versions of the model, both of which are described in the manuscript. One version uses an empirical model to route debris flows down a channel profile. This version of the model is coded in MATLAB. The second version uses a process-based model to route debris flows. This model is coded in C, but there are MATLAB scripts included that facilitate writing necessary input files and reading model output files.

ABSTRACT:
This resource contains Jupyter notebooks used in GEOS 300 at the University of Arizona.

ABSTRACT:
This resource contains Jupyter notebooks used in GEOS 450/550 (Geomorphology and Landscape Evolution) at the University of Arizona. Much of this content was inspired by or based on similar tutorials shared by others, including many that can be found at the Landlab github site (https://github.com/landlab/landlab).
These notebooks are designed to facilitate learning about landscape evolution and numerical modeling with Landlab. The notebooks are organized into two broad categories, Homework and Tutorials. Tutorials were generally used during class in conjunction with other course material (e.g. lecture slides, discussion, etc) so may not be as self-contained as the notebooks designed as homework assignments.

Created: April 18, 2023, 9:52 p.m.
Authors: McGuire, Luke · Ann Youberg · Liu, Tao · Alex Gorr · Rengers, Francis
ABSTRACT:
This resource contains data collected following the 2020 Bush Fire as well as infiltration data collected at Lucky Hills (LH103) in the Walnut Gulch Experimental Watershed. The data are used by Liu et al. (in review, "Guidance for parameterizing post-fire hydrologic models with in situ infiltration measurements").

Created: April 26, 2023, 4:16 p.m.
Authors: McGuire, Luke · Rengers, Francis · Ann Youberg · Gorr, Alexander · Hoch, Olivia · Rebecca Beers
ABSTRACT:
This resource contains data collected following the 2020 Tadpole Fire in western New Mexico, USA. Also included is code for a point-scale runoff model used to estimate runoff ratios and peak runoff discharge based on estimates of soil hydraulic properties. These data are referenced in a publication titled "Characteristics of debris flow prone watersheds and triggering rainstorms following the Tadpole Fire, New Mexico, USA."

Created: April 29, 2024, 9:16 p.m.
Authors: McGuire, Luke · Joseph Martinez · Ann Youberg
ABSTRACT:
This resource contains hydrologic monitoring data collected following the 2022 Contreras Fire as well as data related to soil physical, chemical, and hydraulic properties.

ABSTRACT:
This resource contains data from four Automated Evaluation in Real Time (ALERT) tipping bucket rain gauges that were installed within the perimeter of the 2021 Telegraph Fire in central Arizona, USA.