Luca Roverelli

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The distributed research infrastructure for hydrometeorology (DRIHM) project focuses on the development of an e-Science infrastructure to provide end-to-end hydrometeorological research (HMR) services (models, data, and postprocessing tools) by exploiting HPC, Grid and Cloud facilities. In particular, the DRIHM infrastructure supports the execution and(More)
A full hydro-meteorological (HM) simulation, from rainfall to impact on urban areas, is a multidisciplinary activity which consists in the execution of a workflow composed by complex and heterogeneous model engines. Moreover an extensive set of configuration parameters have to be selected consistently among the models, otherwise the simulation can fail or(More)
Modern soft X-ray observatories can yield unique insights into time domain astrophysics, and a huge amount of information is stored and largely unexploited in data archives. Like a treasure-hunt, the EXTraS project is harvesting the hitherto unexplored temporal domain information buried in the serendipitous data collected by the European Photon Imaging(More)
Predicting weather and climate and its impacts on the environment, including hazards such as floods and landslides, is one of the main challenges of the 21st century with significant societal and economic implications. To advance the state of the art in forecasting extreme events, an effective collaboration with the Information and Communication Technology(More)
Current weather information is one of the facilities supplied to the users by most travel and mobility systems. Most of them relies on one provider, who can deliver a more or less satisfactory coverage on different geographical areas. In this paper, we present the approach and discuss the rationale that drove the design and development of a mashup service(More)
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