AIClimate@EU has the overarching goal of enhancing cooperation activities and knowledge exchange towards the understanding of cascading weather/climate events, namely droughts and heatwaves, and how they associate to wildfires and pollution events accross Europe. This project will join the Nordic Center for Sustainable and Trustworthy Artificial Intelligence Research (NordSTAR, OsloMet, NO) and Instituto Dom Luiz (IDL, Univ. Lisbon, PT) and will be led Ana Russo (PT) in collaboration with Pedro Lind (NO).

The project will profit from an ongoing transnational collaboration (Dhefeus), funded by the Portuguese National Funding Agency (FCT), led by the manager of the present proposal and involving its both partners, as well as partners at EPhysLab (Spain), UFZ and MPG (Germany) and ECMWF (Europe). Dhefeus aims at analyzing compound extreme events and its impacts on fires and air quality based on innovative methods, including compound event-oriented approaches, machine learning algorithms, and climate-change sensitive methods. The analysis is supported by satellite-based datasets and high-resolution regional modelling of surface-atmosphere feedbacks. By combining studies on weather systems, fire activity and air pollution, Dhefeus will enable to address the aims of the Paris Agreement and the UN Sustainable Development.

AIClimate@EU will strengthen the cooperation activities of both partners, in particular establishing a network for exchange of climate data and Artificial Intelligence (AI) methods to broaden the knowledge of cascading climate events in Europe leading to possible social and economical catastrophes. Moreover, it will ensure the dissemination of results accross Europe and will foster future collaboration between the two institutions.

The following activities are planned:

-Two study visits to Norway (2023, 2024)

-A training session for undergraduate/graduate students

-A policy briefing session with policy makers and experts

-A final conference in Portugal


Study Trip 1

Study Trip 2