In recent years, artificial intelligence (AI) has emerged as a powerful tool for advancing the fields of weather and climate science. The application of AI techniques, such as deep learning and neural networks, has opened new avenues for improving forecasting accuracy, understanding atmospheric dynamics, and addressing complex climate-related challenges. The “Artificial Intelligence for Weather and Climate Autumn School” aims to equip participants with both fundamental and specialized skills in leveraging AI for meteorological and climatological applications.

Given the growing interest and success in AI-driven approaches to environmental science, we are excited to announce the upcoming “Artificial Intelligence for Weather and Climate Autumn School”, scheduled from October 28 to 31, 2024, at the Bruno Kessler Foundation - ECT* headquarters. This intensive four-day program will offer a blend of face-to-face lectures and hands-on application labs designed to foster a deep understanding of AI methodologies in the context of weather and climate science.

The “Artificial Intelligence for Weather and Climate Autumn School” will offer a class of 25 students face-to-face lectures and application labs to acquire basic and advanced skills in using artificial intelligence methods in weather and climate science.

We invite applications for this unique educational opportunity, where participants will gain cutting-edge knowledge and skills at the intersection of AI and environmental science. Join us in this journey to harness the power of artificial intelligence for advancing our understanding and ability to predict weather and climate phenomena.

Organizers

School Directors: Marco Cristoforetti, Silvio Gualdi

Scientific Commitee: Elena Tomasi, Gabriele Franch

Organizing Commitee: Rishabh Wanjari, Elena Tomasi

International Speakers

Michael Langguth, PhD, Forschungszentrum Jülich, Institute for Advanced Simulation

Michael Langguth has a background in atmospheric physics and numerical modeling. In recent years, he has focused on the application of deep learning techniques (e.g., GANs, ConvLSTM) in meteorology, particularly for tasks such as nowcasting and downscaling. Currently, he is actively working on the design and development of AtmoRep, a state-of-the-art foundation model focused on modeling atmospheric dynamics using large-scale models.

Jussi Leinonen PhD, Nvidia

Jussi Leinonen has a background in atmospheric physics and data science. In recent years, he has worked on the development and application of innovative neural network methods in the field of meteorology and climatology. He developed some of the first generative artificial intelligence models for atmospheric science problems, including a generative downscaling model in 2020. He joined NVIDIA in October 2023 to work as a solution architect in the Earth-2 project.

National Speakers

Prof. Simona Bordoni, University of Trento, DICAM

Full professor in Physics for the Earth system and the circumterrestrial medium at the Department of Civil Environmental and Mechanical Engineering

Prof. Sandro Luigi Fiore, University of Trento, DISI

Associate Professor in Information Processing Systems at the Department of Information Engineering and Computer Science

Gabriella Scipione, CINECA

HPC Data Management & Analytics Manager

Preliminary Schedule (subject to change)

Monday, October 28, 2024

Tuesday, October 29, 2024

Wednesday, October 30, 2024

Thursday, October 31, 2024

Application

Applications for AIWCAS 2024 are now open. Please fill the form below and submit your application by August 31st, 2024.

The submission must consist of a single PDF file that includes an updated CV (2 pages) and a Cover Letter (1 page).

IMPORTANT NOTE: your application WILL NOT be processed if we DO NOT RECEIVE both CV and Cover Letter before the deadline. Applications missing such documents will be considered NOT VALID.

Selection Process

Our Scientific Committee will evaluate each application and rank the applicants. After this first phase, you will receive a notification of acceptance or placed on the waiting list.

If your application is accepted, you will receive new instructions on finalizing the registration and confirming participation.

Useful Information for Attendees

Getting to Trento

The school will take place in Trento, a city nestled in the heart of the Italian Alps in North-Eastern Italy. You can find various travel options to reach Trento here.

Accommodation Options

For more options, including additional hotels and B&Bs, visit the Trento Tourist Board.

Event Venue and Transportation

The school will be hosted at ECT* - Villa Tambosi, one of the three main FBK premises, located in Villazzano on the hillside of Trento. Villa Tambosi is easily accessible by bus using the following routes:

Trento’s urban transport system is operated by Trentino Trasporti Spa. Tickets (starting from €1.10) must be purchased before boarding and validated upon boarding. You can buy physical tickets at a tobacco shop, a news stand, or on board the bus. Online tickets can be purchased via one of these mobile apps: OpenMove (recommended), DropTicket, 360PASS, MioTrentino, or MooneyGo (myCicero).

With the contribution of

Fondazione ICSC

Italian Research Center on High Performance Computing, Big Data and Quantum Computing

Privacy Notice

Pursuant to art. 13 of EU Regulation No. 2016/679 – General Data Protection Regulation and as detailed in the Privacy Policy for FBK event’s participants, we inform you that the event may be recorded and disclosed on the FBK institutional channels. In order not to be filmed or recorded, you can always disable the webcam and/or mute the microphone during virtual events or inform the FBK staff who organize the event beforehand.