Case Study
Case Study 6: Effects of input data quality and quantity on evaluation of land management policies and agri-environment interventions at catchment to national scales.

This case study examines the sensitivity / uncertainty in outputs of models at various scales resulting from differences or uncertainties in models and input driving data. Three cases will be considered: A) uncertainties arising from the model structure being used; B) uncertainties arising from the data being used; and C) uncertainties arising from drivers used in future scenarios.