Program

 

Monday, 17 June

Morning – NO CLASSES

14:00 – 15:00 CET – Climate Intelligence: An Introduction to THE CLINT Project (A. Castelletti, Politecnico di Milano) 

What is climate intelligence? How can we use AI and ML for climate science?  What will be the advantages for climate services? How can we maximize the value of AI-enhanced forecasts/projections? 

15:00 – 16:00 CET – Understanding extreme events: Tropical cyclones (E. Scoccimarro, Centro Euro-Mediterraneo sui Cambiamenti Climatici; L. Cavicchia, Centro Euro-Mediterraneo sui Cambiamenti Climatici)

Introduction to tropical cyclones. Why should Europe be worried by tropical cyclones? Indices for tropical cyclones. Dataset for tropical cyclones. What challenges of tropical cyclone analysis can be tackled by using AI?  

16:30 – 17:30 CET – Understanding extreme events: Heatwaves (R. McAdam, Centro Euro-Mediterraneo sui Cambiamenti Climatici)

Introduction to heatwaves. Indices for heatwaves. Datasets for heatwaves. Spatial structure and time-evolving patterns of heatwaves and their drivers. 

 

Tuesday, 18 June

8:30 – 9:30Understanding extreme events: Droughts (A. Toreti, Joint Research Centre)

Introduction to droughts. Indices for drought detection. Dataset for drought detection. From drought detection to drought impacts.

9:30 – 10:30Understanding extreme events: Compound events (E. Xoplaki, Justus-Liebig-Universitaet Giessen)

What are compound events? Datasets for compound events. Impacts of compound events on the food, energy, and water sectors. 

11:00 – 12:30KEYNOTE LECTURE: Jürg Luterbacher, World Meteorological Organization 

Prof, Jürg Luterbacher, a distinguished climate scientist, currently serves as the Director of Science and Innovation and Chief Scientist at the World Meteorological Organization (WMO) in Geneva, Switzerland. His expertise spans a broad spectrum of climate science, and he has made significant contributions to the holistic understanding of the Climate-Earth System. Luterbacher’s research focuses on areas such as climate dynamics, climate change, and paleoclimatology. He collaborates with other experts to explore the impacts of extreme weather events on society and the economy. His work contributes to advancing our knowledge of climate-related risks and their implications.

14:00 – 16:00AI & ML for Climate Science (M. Restelli, Politecnico di Milano; S. Salcedo-Sanz, Universidad de Alcalá; G. Ascenso, Politecnico di Milano)

ML algorithms and AI methodologies to support the detection, causation and attribution of extreme events. Discovering spatial and temporal patterns, and evolutions of climatological fields associated with different categories of extreme events. Review of ML techniques that have proven most successful in climate-related applications of and novel ML approaches. Potential of deep learning models to predict extreme events. Enhanced indices for tropical cyclones, heatwaves, droughts, and compound events using AI and ML. 

16:30 – 17:30  – Invited speaker from XAIDA project: Dim Coumou, Vrije Universiteit Amsterdam

Dim Coumou is a climate scientist who studies how global warming affects the number and intensity of extreme weather events like heat waves, heavy rainfall, storms, hurricanes and droughts. He is Professor of Climate Extremes & Societal Risk and leads a team of scientists at the Institute for Environmental Sciences (IVM, VU Amsterdam) and the Royal Netherlands Meteorological Institute (KNMI). His team pioneered the use of machine learning methods to gain new insights into the underlying physics and to improve predictability of extremes. Coumou co-founded Beyond Weather in 2023 to bring advanced AI-based seasonal forecasts to end-users in the energy and agriculture sector. Currently he leads the XAIDA project that unites 16 European research institutes with climate risk practitioners to better assess and predict the influence of climate change on extreme weather using novel artificial intelligence methods.

SOCIAL DINNER 

 

Wednesday,19 June

Morning – NO CLASSES 

14:00 – 15:30KEYNOTE LECTURE: Gabriel A. Vecchi, Princeton University

Prof. Gabriel A. Vecchi is a distinguished climate scientist and a Professor of Geosciences at Princeton University. His research focuses on understanding the impact of climate change on extreme weather events, including hurricanes, heavy rainfall, and other phenomena. Vecchi is also the Director of the High Meadows Environmental Institute (HMEI) and the Deputy Director of the Cooperative Institute for Modeling the Earth System (CIMES). His work involves investigating the mechanisms behind precipitation variability and change, as well as ocean-atmosphere interactions. Vecchi’s expertise lies in climate science, detection and attribution, and modeling. He collaborates with other scientists to advance our understanding of climate-related risks and their societal implications.

16:00 – 17:30Forecast skill (I. Pechlivanidis, Swedish Meteorological and Hydrological Institute)

Climate services. Hydrological modelling and forecasting at different spatial and temporal scales. Forecast skill assessments.

 

Thursday, 20 June

8:30 – 10:30Early warnings & operational decision (A. Castelletti, Politecnico di Milano; Andrea Ficchi, Politecnico di Milano): 

Forecasts informed decision-making, early warnings, and adaptive capacity at different spatial scales. From forecast skill to forecast value. 

11:00 – 12:30KEYNOTE LECTURE: D. Hall, NVIDIA

Dr. David M. Hall is a Data Scientist at NVIDIA. His work focuses on applications of Artificial Intelligence and Deep Learning for the Earth and Space sciences. Previously, Dr. Hall held positions as an Assistant Professor of Research in the Computer Science Department at CU Boulder, and as a Research Scientist at the National Center for Atmospheric Research. Before joining NVIDIA, Dr. Hall spent much of the previous decade developing numerical techniques to improve the atmospheric components of the CESM and E3SM global climate models. 

14:00 – 15:00 Climate application package (N. Hempelmann, Open Geospatial Consortium; H. Loucks, The Climate Data Factory)

Introduction to the Web Processing Server developed by CLINT for Climate Resilience Information Systems. 

15:00 – 17:00Hands-on workshop

Assignment based on our Web Processing System for Climate Resilience Information Systems.