LAIOLO , Paola

This paper presents ongoing research activities and technology upgrades carried out by the Power System Research team of the University of Genoa on the Smart City test-bed facilities installed at the Savona Campus. These facilities consist of a Smart Polygeneration Microgrid (SPM) feeding the Campus, of a Smart Energy Building (SEB) connected...

and atmosphere, thereby influencing climate and weather, and it is important in determining the rainfall-runoff response of catchments; moreover, in hydrological modelling and flood forecasting, a correct definition of moisture conditions is a key factor for accurate predictions. Different sources of information for the estimation of the soil...

During the last decade the opportunity and use- fulness of using remote-sensing data in hydrology, hydrom- eteorology and geomorphology has become even more ev- ident and clear. Satellite-based products often allow for the advantage of observing hydrologic variables in a distributed way, offering a different view with respect to traditional...

Near-surface soil moisture is a key variable for the description of many hydrological and climatic processes. This variable governs the partitioning of mass and energy fluxes between land surface and the atmosphere, thereby playing an important role for many scientific and operational applications such as flood forecasting, landslide...

Probabilistic hydrometeorological forecasting chains are increasingly becoming an operational tool used by civil protection centres for issuing flood alerts. One of the most important requests of decision makers is to have reliable systems, for this reason an accurate verification of their predictive performances become essential. The aim of...

The reliable estimation of hydrological variables (e.g. soil moisture, evapotranspiration, surface temperature) in space and time is of fundamental importance in operational hydrology to improve the forecast of the rainfall-runoff response of catchments and, consequently, flood predictions. Nowadays remote sensing can offer a chance to provide...

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A reliable estimation of soil moisture conditions is fundamental for rivers' discharge predictions, especially in small catchments where flash floods occur. In this context, microwave remote sensing can be exploited to estimate soil moisture at large scale. These estimates can be used to enhance the predictions of hydrological models using data...

A reliable estimation of soil moisture conditions is fundamental for discharges prediction and, consequently, for flood risk mitigation. Microwave remote sensing can be exploited to estimate soil moisture at large scale. These estimates can be used to enhance the predictions of hydrological models using Data Assimilation techniques and to...

Soil moisture is a key variable for many scientific applications such as climate modelling, water management and operational forecasting of flood, landslide, weather, drought. In particular a correct estimation of soil water content can highly affect the improvement of the accuracy of flood predictions. This variable can be monitored using in...

The reliable estimation of soil moisture in space and time is of fundamental importance in operational hydrology to improve the forecast of the rainfall-runoff response of catchments and, consequently, flood predictions. Nowadays several satellite-derived soil moisture products are available and can offer a chance to improve hydrological model...