High-Performance Computing (HPC) is essential for modern climate science, helping us process and store the huge amounts of data needed for weather forecasts and climate projections. To understand local changes and their impacts, we need climate data at very high resolution—down to kilometers and hours. This level of detail is crucial for assessing risks and supporting decisions on adaptation.
Storage and data management are just as important, allowing us to analyze years coming from different climate simulations and better estimate uncertainties. This is key to providing reliable information for sectors like infrastructure, water management, and health.
Machine Learning (ML) is also transforming how we work, helping refine models and improve forecast and projections. By combining HPC, ML, and big data, we can deliver more precise and actionable climate inforamtion, ensuring that decision-makers have access to the best possible information for building a more resilient future.

Speaker

Paola Mercogliano – CMCC Foundation

Paola Mercogliano is a Principal Scientist at the CMCC Foundation and President of the Italian Society for Climate Sciences (SISC). She specialized in high-resolution climate modeling, extreme events, adaptation strategies, and the development of climate services to support decision-making.
She coordinates the EU project Adaptation AGORA, promoting climate resilience and stakeholder engagement across Europe. She has published over 80 scientific papers on climate modeling, risk assessment, and adaptation strategies.
Paola teaches at LUISS University, leading the course X-LAB Civil Security for Society, and serves as a thesis and PhD supervisor on climate-related topics. She leads a multidisciplinary teams of about 40 people working on climate hzard and risk analysis, infrastructure resilience, and adaptation planning, collaborating with international institutions, policymakers, and industry partners.
Passionate about bridging science and decision-making, she works to enhance the accessibility and usability of climate information for local challenges.

Event Timeslots (2)

Wed 18 – Programming Models & Tools
19:00 - 19:45
P. Mercogliano (CMCC)
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