Difference between revisions of "Presenters-0460"

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|CSDMS meeting first name=John
 
|CSDMS meeting first name=John
 
|CSDMS meeting last name=Swartz
 
|CSDMS meeting last name=Swartz
|CSDMS meeting institute=University of Texas
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|CSDMS meeting institute=University of Texas, Austin
 
|Country member=United States
 
|Country member=United States
 
|CSDMS meeting state=Texas
 
|CSDMS meeting state=Texas

Revision as of 14:25, 21 April 2020

CSDMS 2020: Linking Ecosphere and Geosphere


Exploring surface processes and landscape connectivity through high-resolution topography: integration of high resolution data in numerical modeling



John Swartz

University of Texas, Austin, United States
jmarshallswartz@utexas.edu
Paola Passalacqua University of Texas United States


Abstract
High-resolution topographic (HRT) data is becoming more easily accessible and prevalent, and is rapidly advancing our understanding of myriad surface and ecological processes. Landscape connectivity is the framework that describes the routing of fluids, sediments, and solutes across a landscape and is a primary control on geomorphology and ecology. Connectivity is not a static parameter, but rather a continuum that dynamically evolves on a range of temporal and spatial scales, and the observation of which is highly dependent on the available methodology. In this clinic we showcase the utility of HRT for the observation and characterization of landscapes and compare results with those of coarser spatial resolution data-sets. We highlight the potential for integrating HRT observations and parameters such as vegetation density, surface relief, and local slope variability with numerical surface process models. Participants will gain an understanding of the basics of HRT, data availability and basic analysis, and the use of HRT parameters in modeling.



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Of interest for:
  • Terrestrial Working Group
  • Coastal Working Group
  • Hydrology Focus Research Group
  • Critical Zone Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative