• Digital Agriculture
• Modeling, Simulation and Data Analysis
• Imaging and Numerical Geophysics
• Smart Energy Systems
• Environmental Sciences

The Environmental Sciences (ES) Research Program is focused on the development of highly effective software applications to solve challenging environmental problems on high-end computing architectures. Our main expertise is in the development of numerical models and their application to real world case-studies to support decisions in environmental resource management problems. Project activities include simulation and data analysis for problems related to soil and water contamination, surface and groundwater hydrology, extreme events, hydrogeological risk assessment, regional climatic and limited area meteorological modeling.
In recent years we have also acquired extensive experience in the deployment of Web-based computational platforms for multidisciplinary and multi-scale environmental applications, integrating distributed data and parallel solutions, grids, and, soon, cloud computing solutions. These efforts have been required to turn complex environmental models and related procedures into integrated analysis, simulation and visualization systems. Major fields of applications include simulation and probabilistic forecast of extreme atmospheric events, climatic assessment of the precipitation component of the hydrological budget, planning and management of optimal aquifer development schemes and monitoring networks, selection of the most effective site remediation scenarios, territorial planning and management of water and soil resources at the catchment/regional/continental scale and of coastal marine water.