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.
|Title of host publication||Treatise on Geomorphology|
|Subtitle of host publication||Volume 2: Quantitative Modeling of Geomorphology|
|Editors||John F Shroder|
|Place of Publication||Oxford|
|Publisher||Elsevier publishing company|
|Number of pages||22|
|Publication status||Published - Jan 2013|