Despite the relevant fire risk to which Italy is subject from the north to the south, very few analyses focus on this topic. This article investigates the causes of forest fires frequency and intensity in Italy during the first decade of the twenty-first century. The dynamical aspects of fire...

The Kalman filter (KF) dates back to 1960, when R. E. Kalman provided a recursive algorithm to compute the solution of a (linear) data filtering and prediction problem, proving to be much more efficient than the N. Wiener's approach, introduced in 1949.Data filtering is a simple example of Data...

This report develops a climate change economic impact assessment, applying the Intertemporal Computable Equilibrium System (ICES) model developed at CMCC. The inputs for the exercise derive from the updated estimation of climate change impacts conducted under GEMINA WP6.2.9 P55. They refer to...

The climate numerical models require a considerable amount of computing power. The modern parallel architectures provide the needed computing power to perform scientific simulations at acceptable resolutions. However, the efficiency of the exploitation of the parallel architectures by the...

This methodological report describes the steps and the modelling developments foreseen to include a more explicit ecosystem dimension inside the recursive-dynamic Intertemporal Computable Equilibrium System (ICES) Computable General Equilibrium (CGE) model. The modelling strategy hinges upon the...

Despite the growing concern about actual on-going climate change, there is little consensus about the scale and timing of actions needed to stabilise the concentrations of greenhouse gases. Many countries are unwilling to implement effective mitigation strategies, at least in the short-term, and...

We extend the WITCH model to consider the possibility to produce and trade electricity generated by large scale concentrated solar power plants in highly productive areas that are connected to the demand centres through High Voltage Direct Current (HVDC) cables. We find that it becomes optimal...

Here the concept of return period is discussed in terms of the stationarity of the process. If the process is stationarity the concept of return period is well defined and ambiguities do not arise. If the process is non stationary, as it could be any climate driven phenomenon under climate...