Modeling and visualizing uncertainty in a global water balance model

  • Authors:
  • James R. Miller;Daniel C. Clibum;Johannes J. Feddema;Terry A. Slocum

  • Affiliations:
  • University of Kansas, Lawrence, KS;Hanover College, Hanover, IN;University of Kansas, Lawrence, KS;University of Kansas, Lawrence, KS

  • Venue:
  • Proceedings of the 2003 ACM symposium on Applied computing
  • Year:
  • 2003

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Abstract

Public policy makers and others wishing to understand the potential impact of our actions on the environment need a tool to simulate and visualize relevant processes. Present models and the data on which they operate have considerable variability which translates into uncertainty in model results. Decision makers must understand and consider not only raw model results, but also the uncertainties associated with them. As an example, we describe a tool that evaluates a global water balance model and presents visualizations of both the results and the associated uncertainties.