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|CSDMS meeting email address=kerryc@ldeo.columbia.edu
|CSDMS meeting email address=kerryc@ldeo.columbia.edu
|CSDMS meeting title presentation=Coupled Groundwater and Dynamic Lake Modelling using the Water-Table Model (WTM)
|CSDMS meeting title presentation=Coupled Groundwater and Dynamic Lake Modelling using the Water-Table Model (WTM)
}}
{{Presenters coauthors
|CSDMS meeting first name co1=Andrew
|CSDMS meeting last name co1=Wickert
|CSDMS meeting institute co1=Department of Earth & Environmental Sciences, University of Minnesota
|CSDMS meeting country co1=United States
|CSDMS meeting state co1=Minnesota
|CSDMS meeting email address co1=awickert@umn.edu
}}
{{Presenters coauthors
|CSDMS meeting first name co1=Richard
|CSDMS meeting last name co1=Barnes
|CSDMS meeting institute co1=Energy & Resources Group (ERG), University of California, Berkeley
|CSDMS meeting country co1=United States
|CSDMS meeting state co1=California
|CSDMS meeting email address co1=richard.barnes@berkeley.edu
}}
}}
{{Presenters presentation
{{Presenters presentation

Revision as of 16:54, 23 February 2021

CSDMS 2021: Changing Landscapes and Seascapes: Modeling for Discovery, Decision Making, and Communication


Coupled Groundwater and Dynamic Lake Modelling using the Water-Table Model (WTM)



Kerry Callaghan

Lamont-Doherty Earth Observatory, United States
kerryc@ldeo.columbia.edu
Andrew Wickert Department of Earth & Environmental Sciences, University of Minnesota United States
Richard Barnes Energy & Resources Group (ERG), University of California, Berkeley United States


Abstract
Changing depth to water table and the associated stored water volume is a crucial component of the global hydrological cycle, with impacts on climate and sea level. However, long-term changes in global water-table distribution are not well understood. Coupled ground- and surface-water models are key to understanding the hydrologic evolution of post-glacial landscapes, the significance of terrestrial water storage, and the interrelationships between freshwater and climate. Here, I present the Water Table Model (WTM), which is capable of computing changes in water table elevation at large spatial scales and over long temporal scales. The WTM comprises groundwater and dynamic lake components to incorporate lakes into water-table elevation estimates. Sample results on both artificial and real-world topographies demonstrate the two-way coupling between dynamic surface-water and groundwater levels and flow.




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Of interest for:
  • Terrestrial Working Group
  • Coastal Working Group
  • Marine Working Group
  • Cyberinformatics and Numerics Working Group
  • Hydrology Focus Research Group
  • Critical Zone Focus Research Group
  • Geodynamics Focus Research Group