Uncertainty and error

Abstract

Errors in input data, parameterisation, and model form cause errors and uncertainty in model outputs. This is particularly problematic in non-linear systems where small changes propagate through models to create large output differences. This chapter reviews the issues involved in understanding error, covering a broad range of methodologies and viewpoints from across the spatial modelling sciences.