Andrea Parodi's research while affiliated with CIMA Research Foundation and other places

Publications (11)

Article
Full-text available
In this work, we describe the integration of Weather and Research Forecasting (WRF) forecasts produced by CIMA Research Foundation within ITHACA Extreme Rainfall Detection System (ERDS) to increase the forecasting skills of the overall early warning system. The entire workflow is applied to the heavy rainfall event that affected the city of Palermo...
Chapter
Traditional usage models of Supercomputing centres have been extended by High-Throughput Computing (HTC), High-Performance Data Analytics (HPDA) and Cloud Computing. The complexity of current compute platforms calls for solutions to simplify usage and conveniently orchestrate computing tasks. These enable also non-expert users to efficiently execut...
Chapter
The LEXIS (Large-scale EXecution for Industry & Society) H2020 project is building an advanced engineering platform taking advantage of HPC, Cloud solutions and Big Data, leveraging existing HPC infrastructures. In the framework of the LEXIS project, CIMA Research Foundation is running a three nested domain WRF Model with European coverage and rada...
Conference Paper
Full-text available
In the framework of LEXIS (Large-scale EXecution for Industry & Society) H2020 project, CIMA Research Foundation is running a 3 nested domain WRF (Weather Research and Forecasting) model with European coverage and weather radar data assimilation over Italy. Forecasts up to 48 hours characterized by a 7.5 km resolution are then processed by ITHACA E...
Conference Paper
The H2020 SINOPTICA Project (2020-2022) aims at exploiting the untapped potential of assimilating remote sensing (EO-derived and ground-based radar) as well as GNSS-derived datasets (including radio occultation data) and in-situ weather stations data. Those data will be used for very high-resolution, very short-range numerical weather forecasts to...
Conference Paper
The H2020 SINOPTICA Project (2020-2022) aims at exploiting the untapped potential of assimilating remote sensing as well as GNSS-derived datasets and in-situ weather stations data. The main goal is getting very high-resolution, very short-range numerical weather forecasts to improve the prediction of extreme weather events to the benefit of Air Tra...
Poster
Full-text available
LEXIS (Large-scale EXecution for Industry and Society) H2020 project is currently developing an advanced system for Big Data analysis that takes advantage of interacting large-scale geographically-distributed HPC infrastructure and cloud services. More specifically, LEXIS Weather and Climate Large-Scale Pilot workflows ingest data coming from diffe...
Chapter
The LEXIS Weather and Climate Large-scale Pilot will deliver a system for prediction of water-food-energy nexus phenomena and their associated socio-economic impacts. The system will be based on multiple model layers chained together, namely global weather and climate models, high-resolution regional weather models, domain-specific application mode...

Citations

... The platform implements a distributed data interface (DDI) [2] which leverages EUDAT [3] and iRODS technologies [4] to enable seamless and secure ingestion, staging, curation, and publication of data. The DDI also offers in-place encryption of the data to provide the highest level of security for the most sensitive data. ...