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Bernardo Gozzini

Researcher at National Research Council

Publications -  62
Citations -  1063

Bernardo Gozzini is an academic researcher from National Research Council. The author has contributed to research in topics: Precipitation & Environmental science. The author has an hindex of 17, co-authored 54 publications receiving 915 citations.

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Modelling the impact of future climate scenarios on yield and yield variability of grapevine

TL;DR: In this paper, a mechanistic growth model was used to evaluate the mean yield and yield variability of grapevine Vjtis vinifera L. under current and future climates.
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Extreme rainfall in a changing climate: regional analysis and hydrological implications in Tuscany

TL;DR: In this article, a comprehensive analysis of the extreme rainfalls in Tuscany, Italy, is carried out with the aim of understanding and quantifying the uncertainties connected with the estimation of the design storms, which is very important for a sound basin management at urban or larger scales.
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A simple model for simulation of growth and development in grapevine ( Vitis vinifera L.). 1. Model description

TL;DR: In this article, a simple model for the simulation of growth and development of Sangiovese vines has been presented in a previous paper, and the model is validated to examine whether the description of the physiological relationships in the model describe the growth of grapevine realistically.
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A GIS-based interactive web decision support system for planning wind farms in Tuscany (Italy)

TL;DR: An integrated Geographic Information System (GIS) based decision support system (DSS), compliant with Directive 2007/2/EC of European Commission (EC), which was designed to help public operators in the preliminary location of sites eligible for wind harness, is developed.
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The 8 and 9 September 2002 flash flood event in France: a model intercomparison

TL;DR: In this paper, the authors present the results of the evaluation methodology proposed by Yates et al. (2005) that highlights the relevant hydrological scales of a simulated rain field and draw some recommendations on the value of the quantitative precipitation forecasts and way to use it for quantitative discharge forecasts within mountainous areas.