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2.2 Nine Considerations for Constructing and Running Geomorphological Models

Elsevier Inc.
DOI: 10.1016/b978-0-12-374739-6.00024-5
  • Benchmarks
  • Calibration
  • Data Exploration
  • Dimensional Analysis
  • Earth Sciences
  • Geology
  • Geomorphology
  • Hypotheses
  • Model Parsimony
  • Models
  • Sensitivity Analysis
  • Statistical Tests
  • Uncertainty Assessment
  • Earth Science


Abstract In this chapter, three broad categories of geomorphological models are considered: (1) traditional physically based computer models; (2) cellular-automata models; and (3) statistical models of observations or simulated data. Nine considerations for constructing and running geomorphological models within these categories are then explored: (1) suitability of the model for the question and observational data at hand; (2) model parsimony; (3) dimensional analysis; (4) benchmarks; (5) sensitivity analysis; (6) calibration; (7) observation and model data exploration; (8) uncertainty assessment; and (9) alternative models, data, and questions. For each consideration, good practices within the context of the literature are highlighted.

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