Marcello Donatelli

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CropSyst is a multi-year, multi-crop, daily time step cropping systems simulation model developed to serve as an analytical tool to study the effect of climate, soils, and management on cropping systems productivity and the environment. CropSyst simulates the soil water and nitrogen budgets, crop growth and development, crop yield, residue production and(More)
This paper argues that an integrated assessment (IA) approach, combining simulation modelling with deliberative processes involving decision makers and other stakeholders, has the potential to generate credible and relevant assessments of climate change impacts on farming systems. The justification for the approach proposed is that while simulation(More)
Sensitivity analysis studies how the variation in model outputs can be due to different sources of variation. This issue is addressed, in this study, as an application of sensitivity analysis techniques to a crop model in the Mediterranean region. In particular, an application of Morris and Sobol' sensitivity analysis methods to the rice model WARM is(More)
Global solar radiation data used as daily inputs for most cropping systems and water budget models are frequently available from only a few weather stations and over short periods of time. To overcome this limitation, the Campbell–Donatelli model relates daily maximum and minimum air temperatures to solar radiation. In this study, calibrated values of model(More)
The need for integrating dynamic models with independently developed datasets and other models has long been recognized. Only recently, advances in modelling technologies, knowledge representation and protocols for remote communication of structured content have made this goal practical. The same advances make it possible to decouple the representation of a(More)
EXTENDED ABSTRACT It is commonly accepted that modelling frameworks offer a powerful tool for modellers, researchers and decision makers, since they allow the management, re-use and integration of models from various disciplines and at different spatial and temporal scales. However, the actual re-usability of models depends on a number of factors such as(More)
It is well-known that when an astronomical image is collected by a telescope, the measured intensities at pixels near the edge of the image may depend on the intensity of the object outside of the field of view (FOV) of the instrument. This makes the deconvolution of astronomical images troublesome. Standard approaches for solving this problem artificially(More)
GSRad (global solar radiation) is a software component containing models to estimate extra-terrestrial and ground-level solar radiation (global and photosynthetically active; direct, diffuse, and reflected components) from alternative methods. Radiation data are estimated as either 1-h or 24-h values. Moreover, GSRad provides methods to compute clear sky(More)
cepts and terminology used is required (Oreskes et al., 1994). The availability of dedicated software tools providing extensive, integrated statistical capabilities (e.g., IRENE; Fila et al., 2003) is highly supportive for explor-Gianni Fila,* Gianni Bellocchi, ing various aspects of model evaluation. In general, how-Marcello Donatelli, and Marco Acutis(More)