Crop models are essential tools for analysing the effects of climate variability, change on
crop growth and development and the potential impact of adaptation strategies. Despite their …

In this introductory paper to the special issue on crop model prediction uncertainty, we
present and compare the methodological choices in the studies included in this issue, and …

Understanding sources of uncertainty in climate–crop modelling is critical for informing
adaptation strategies for cropping systems. An understanding of the major sources of …

Crop models are used for an increasingly broad range of applications, with a commensurate
proliferation of methods. Careful framing of research questions and development of targeted …

Despite modellers are paying increasing attention to analyse and manage the different
sources of uncertainty affecting model predictions, the impact of the uncertainty in the …

Exploring and quantifying the uncertainties in climate impact assessment with multiple
climate-crop models is crucial to reducing the total uncertainty and guiding adaptation …

Crop models are imperfect approximations to real world interactions between biotic and
abiotic factors. In some situations, the uncertainties associated with choices in model …

Ethiopia's economy is dominated by agriculture which is mainly rain-fed and subsistence.
Climate change is expected to have an adverse impact particularly on crop production …

Decision making in climate change adaptation planning depends on the quantification and
broad understanding of uncertainties in projected climate impacts. In a case study, we …

Robust crop yield projections under future climates are fundamental prerequisites for
reliable policy formation. Both process-based crop models and statistical models are …