It is of major importance in modeling to understand and quantify the uncertainty in model predictions, both in order to know how much confidence to have in those predictions, and as a first step toward model improvement. Here we show that there are basically three different approaches to evaluating uncertainty, and we explain the advantages and drawbacks of each. This is a necessary first step toward developing protocols for evaluation of uncertainty and so obtaining a clearer picture of the reliability of crop models
International audienceAs crop modelling has matured and been proposed as a tool for many practical a...
International audienceAs crop modelling has matured and been proposed as a tool for many practical a...
A major use of crop models is to evaluate management strategies. An important question is how accura...
It is of major importance in modeling to understand and quantify the uncertainty in model prediction...
Crop models are important tools for impact assessment of climate change, as well as for exploring m...
In this introductory paper to the special issue on crop model prediction uncertainty, we present and...
Defining and estimating uncertainty in simulations is essential in order to quantify the reliability...
Crop models are used to estimate crop productivity under future climate projections, and modellers m...
As models become increasingly complex and integrated, uncertainty among model parameters, variables...
Significant progress has been made in the use of ensemble agricultural and climate modelling, and ob...
Crop models are important tools for impact assessment of climate change, as well as for exploring ma...
Crop modeling is affected by parameter uncertainty. We proposed a framework that integrates sensitiv...
Despite modellers are paying increasing attention to analyse and manage the different sources of unc...
Includes bibliographical referencesThis thesis explores uncertainty statistics to model agricultural...
International audienceAs crop modelling has matured and been proposed as a tool for many practical a...
International audienceAs crop modelling has matured and been proposed as a tool for many practical a...
International audienceAs crop modelling has matured and been proposed as a tool for many practical a...
A major use of crop models is to evaluate management strategies. An important question is how accura...
It is of major importance in modeling to understand and quantify the uncertainty in model prediction...
Crop models are important tools for impact assessment of climate change, as well as for exploring m...
In this introductory paper to the special issue on crop model prediction uncertainty, we present and...
Defining and estimating uncertainty in simulations is essential in order to quantify the reliability...
Crop models are used to estimate crop productivity under future climate projections, and modellers m...
As models become increasingly complex and integrated, uncertainty among model parameters, variables...
Significant progress has been made in the use of ensemble agricultural and climate modelling, and ob...
Crop models are important tools for impact assessment of climate change, as well as for exploring ma...
Crop modeling is affected by parameter uncertainty. We proposed a framework that integrates sensitiv...
Despite modellers are paying increasing attention to analyse and manage the different sources of unc...
Includes bibliographical referencesThis thesis explores uncertainty statistics to model agricultural...
International audienceAs crop modelling has matured and been proposed as a tool for many practical a...
International audienceAs crop modelling has matured and been proposed as a tool for many practical a...
International audienceAs crop modelling has matured and been proposed as a tool for many practical a...
A major use of crop models is to evaluate management strategies. An important question is how accura...