- Hydrology and Watershed Management Studies
- Computational Physics and Python Applications
- Flood Risk Assessment and Management
- Geophysics and Gravity Measurements
- Distributed and Parallel Computing Systems
- Geological formations and processes
- Hydrology and Sediment Transport Processes
- Scientific Computing and Data Management
- 3D Modeling in Geospatial Applications
- Geology and Paleoclimatology Research
- Environmental Monitoring and Data Management
- Landslides and related hazards
- Meteorological Phenomena and Simulations
- Geological Modeling and Analysis
- Fire effects on ecosystems
- Cryospheric studies and observations
- Planetary Science and Exploration
- Coastal wetland ecosystem dynamics
- Cellular Automata and Applications
- Rangeland and Wildlife Management
- Laser-Ablation Synthesis of Nanoparticles
- Stochastic processes and statistical mechanics
- Ecology and Vegetation Dynamics Studies
- Geological and Geophysical Studies
- Soil erosion and sediment transport
Riverside Research Institute
2024
Delgado Community College
2020-2023
Oklahoma State University Oklahoma City
2022
Institute of Arctic and Alpine Research
2019-2020
University of Colorado Boulder
2019
California Polytechnic State University
2018
Tulane University
2014-2017
Stevens Institute of Technology
2015
Abstract. The ability to model surface processes and couple them both subsurface atmospheric regimes has proven invaluable research in the Earth planetary sciences. However, creating a new typically demands very large investment of time, modifying an existing address problem means work is constrained its detriment by adaptations for different problem. Landlab open-source software framework explicitly designed accelerate development process models providing (1) set tools grid structures –...
Abstract. Numerical simulation of the form and characteristics Earth's surface provides insight into its evolution. Landlab is an open-source Python package that contains modularized elements numerical models for surface, thus reducing time required researchers to create new or reimplement existing models. a gridding engine which represents model domain as dual graph structured quadrilaterals (e.g., raster) irregular Voronoi polygon–Delaunay triangle mesh regular hexagons, radially symmetric...
Abstract. Representation of flowing water in landscape evolution models (LEMs) is often simplified compared to hydrodynamic models, as LEMs make assumptions reducing physical complexity favor computational efficiency. The Landlab modeling framework can be used bridge the divide between complex runoff and more traditional LEMs, creating a new type not commonly geomorphology or hydrology communities. Python-language library that includes tools process components create Earth-surface dynamics...
Abstract. CellLab-CTS 2015 is a Python-language software library for creating two-dimensional, continuous-time stochastic (CTS) cellular automaton models. The model domain consists of set grid nodes, with each node assigned an integer state code that represents its condition or composition. Adjacent pairs nodes may undergo transitions to different states, according user-defined average transition rate. A created by writing Python defines the possible transitions, and rates those transitions....
Abstract We explore the fluvial response to faulting in three low‐gradient, sand‐bed rivers south‐eastern Louisiana, USA, that flow across active normal faults from footwall (upstream) hangingwall (downstream). calculate sinuosity, migration rate and direction order identify anomalies spatially associated with fault scarps. In two of we model one‐dimensional steady water surface slope, width‐to‐depth ratio, shear stress. each these there is one location where modeling suggests potential...
Abstract Projecting how arid and semi‐arid ecosystems respond to global change requires the integration of a wide array analytical numerical models address different aspects complex ecosystems. We used Landlab earth surface modeling toolkit (Hobley et al., 2017, https://doi.org/10.5194/esurf-5-21-2017 ) couple several ecohydrologic vegetation dynamics processes investigate controls exogenous drivers (climate, topography, fires, grazing) endogenous grass‐fire feedback mechanisms....
Abstract. The morphology of deltas is determined by the spatial extent and variability geomorphic processes that shape them. While in some cases resilient, are increasingly threatened natural anthropogenic forces, such as sea level rise land use change, which can drastically alter rates patterns sediment transport. Quantifying process improve our predictive understanding how different zones within delta systems will respond to future change. Available remotely sensed imagery help, but...
Abstract. The ability to model surface processes and couple them both subsurface atmospheric regimes has proven invaluable research in the Earth planetary sciences. However, creating a new typically demands very large investment of time, modifying an existing address problem means work is constrained its detriment by adaptations for different problem. Landlab open-source software framework explicitly designed accelerate development process models providing: (1) set tools grid structures –...
Annually laminated sediments (varves) form in particular depositional settings, e.g., where seasonal climate produces fluctuations runoff volume; variations affect the amount and type of sediment delivered to a catchment. Prior studies confirm that selected varve traits correlate with inter-annual signals. In some locations, solar activity also appears be expressed characteristics, either through direct effect or indirectly via influence on climate. Evidence from proglacial Iceberg Lake,...
Sustainable software development has traditionally been measured by a product’s longevity within given field. However, with advances in high performance computing, more scientists are trained coding and developing their own frameworks quickly. This led to significant market overcrowding, duplicated efforts, wasted opportunities as multiple codes developed that cannot be integrated. will require cooperation, leading fewer, but sustainable, pieces of software. The National Science Foundation...
Abstract. Numerical simulation of the form and characteristics Earth's surface provides insight into its evolution. Landlab is an Open Source Python package that contains modularized elements numerical models for surface, thus reducing time required researchers to create new or reimplement existing models. a gridding engine which represents model domain as dual graph structured quadrilaterals (e.g., raster) irregular Voronoi polygon-Delaunay triangle mesh regular hexagons, radially symmetric...
With direct laser writing, we show that scan rate can control the elemental ratio of two metals in deposited structure. This occurs when one deposition process is triggered by photoexcitation while other a secondary dependent reaction. Energy Dispersive Spectroscopy (EDS) used to find atomic metals. The copper silver be tuned from over 90:1 below 1:1 and trend follows an inverse relationship with speed.
We show that direct laser writing (DLW) in aqueous silver nitrate with a 1030 nm femtosecond (fs) results deposition of mixture oxide and silver, contrast to the pure previously reported 780 fs DLW. However, adding photoinitiator prevents formation concentration-dependent manner. As result, resistivity material can also be controlled by concentration being reduced from approximately 9e-3 $\Omega m$ 3e-7 m$. Silver peaks dominate X-ray diffraction spectra when no is present, while disappear...
Approximately 2000 operators in the SEAL Teams use a personal flotation device (PFD). While it is necessary safety measure, current PFDs often deploy prematurely causing operator to then discard device. We created system with changeable modes, allowing user retain fully functional vest an activation that not subject premature deployment. Implementation of this will reduce danger for each and save lives. Our composed sensor suite, microcontroller, actuator. The has two chosen modes: automatic...
Abstract. CellLab-CTS 2015 is a Python-language software library for creating two-dimensional, continuous-time stochastic (CTS) cellular automaton models. The model domain consists of set grid nodes, with each node assigned an integer state-code that represents its condition or composition. Adjacent pairs nodes may undergo transitions to different states, according user-defined average transition rate. A created by writing Python code defines the possible transitions, and rates those...
Abstract. Hydrologic models and modeling components are used in a wide range of applications. Rainfall-runoff to investigate the evolution hydrologic variables, such as soil moisture surface water discharge, throughout one or more rainfall events. Longer-term landscape also include aspects hydrology, albeit highly simplified manner, order approximate how flowing shapes landscapes. Here we illustrate OverlandFlow component contained within Landlab can be applied either short-term...