Add to ORKGKnowledge about model uncertainty is essential for crop modelling and provides information crucial for a real understand-ing of models behavior and for parameterization purposes. This work addresses an exploratory sensitivity analysis on the parameters involved with biomass accumulation of three crop models decidedly differing in the way they interpret the con-cept of growth. The models used in the sensitivity analysis were CropSyst, WARM and WOFOST. We used the Morris screening method, supplied with software for sensitivity analysis SimLab, to determine, at a reasonable cost in terms of model evaluations, which parameters have a substantial influence on a static biomass output (rice aboveground biomass at physiological maturity). Assumptio...
Crop models are used to estimate crop productivity under future climate projections, and modellers m...
Predicting rice ([i]Oryza sativa[/i]) productivity under future climates is important for global foo...
Predicting rice (Oryza sativa) productivity under future climates is important for global food secur...
Knowledge about model uncertainty is essential for crop modelling and provides information crucial f...
Knowledge about model uncertainty is essential for crop modelling and provides information crucial f...
Biophysical models (including crop models) may require a large number of input parameters, which val...
The considerable complexity often included in biophysical models leads to the need of specifying a l...
Sensitivity analysis is crucial for building, understanding and using complex mathematical models fo...
The considerable complexity often included in biophysical models leads to the need of specifying a l...
An application of Morris and Sobol' sensitivity analysis methods to the rice model WARM is presented...
Sensitivity analysis studies how the variation in model outputs can be due to different sources of v...
Despite modellers are paying increasing attention to analyse and manage the different sources of unc...
While several statistical methods are available to analyse model sensitivity,their application to co...
A crop can be viewed as a complex system with outputs (e.g. yield) that are affected by inputs of ge...
Predicting rice (Oryza sativa) productivity under future climates is important for global food secur...
Crop models are used to estimate crop productivity under future climate projections, and modellers m...
Predicting rice ([i]Oryza sativa[/i]) productivity under future climates is important for global foo...
Predicting rice (Oryza sativa) productivity under future climates is important for global food secur...
Knowledge about model uncertainty is essential for crop modelling and provides information crucial f...
Knowledge about model uncertainty is essential for crop modelling and provides information crucial f...
Biophysical models (including crop models) may require a large number of input parameters, which val...
The considerable complexity often included in biophysical models leads to the need of specifying a l...
Sensitivity analysis is crucial for building, understanding and using complex mathematical models fo...
The considerable complexity often included in biophysical models leads to the need of specifying a l...
An application of Morris and Sobol' sensitivity analysis methods to the rice model WARM is presented...
Sensitivity analysis studies how the variation in model outputs can be due to different sources of v...
Despite modellers are paying increasing attention to analyse and manage the different sources of unc...
While several statistical methods are available to analyse model sensitivity,their application to co...
A crop can be viewed as a complex system with outputs (e.g. yield) that are affected by inputs of ge...
Predicting rice (Oryza sativa) productivity under future climates is important for global food secur...
Crop models are used to estimate crop productivity under future climate projections, and modellers m...
Predicting rice ([i]Oryza sativa[/i]) productivity under future climates is important for global foo...
Predicting rice (Oryza sativa) productivity under future climates is important for global food secur...