RI-Scale - Scaling Climate Science: From High-Resolution Analytics to Smart Data Management with the RI-SCALE DEP

About the webinar

The webinar will present two use cases targeting Climate Science, and more specifically the European Network for Earth System Modelling (ENES) community, with the aim of showcasing how both researchers and data providers can benefit from the RI-SCALE Data Exploitation Platform (DEP): researchers by generating higher-resolution, decision-ready climate information, and data providers by gaining useful insights into data infrastructure usage.
The first use case addresses high-resolution climate mapping to support risk assessment and operational planning in sectors that require climate data at a spatial resolution finer than the 50–100 km resolution provided by CMIP6 projections. This is particularly valuable for supporting risk trend analysis in agriculture and for computing high-resolution climate indicators under different future scenarios.
The second use case focuses on the smart management of Earth System Data as a means of driving intelligent replication and caching strategies at computing facilities, based on the most frequently used datasets. This strategy could be further enhanced through the use of ML-based models to detect anomalies and predict usage patterns from historical usage data.
Together, the two use cases will demonstrate the importance of a scalable DEP that combines scientific data, AI tools, and powerful computing resources to perform key operations related to the ENES Research Infrastructure.

Target Audience

• Climate scientists and Earth System researchers
• AI/ML researchers working with scientific data
• Data providers and data infrastructure managers from the ENES RI/climate community
• SME working in the climate domain
• Researchers and practitioners working on climate risk and impact assessment

Agenda

• Introduction to the ENES Research Infrastructure
• Scientific Use Case 1: High-resolution downscaling of climate scenarios and risk trend analysis in agriculture
• Scientific Use Case 2: Smart detection of anomalies in climate data usage
• Q&A

About the speakers

Tullio Degiacomi is a Weather and Climate Data Scientist at Hypermeteo, an Italian company that provides high-resolution weather and climate datasets and indices. With a background in atmospheric physics, he works on the downscaling of climate projections for the development of climate services, and on the management and development of the company’s medium-range weather forecasting chain, including the application of post-processing techniques.

Fabrizio Antonio is a Computer Scientist at the CMCC Foundation, within the Advanced Digital Innovation Center, working on the design and development of architectural and software solutions for advanced computing, scientific data management, and data analytics. He has been working on several EOSC-related projects, representing the ENES (European Network for Earth System Modelling) community, with a particular focus on Open Science, FAIR data principles, and the development of interoperable and sustainable solutions for scientific data and services.