The SMASH – Machine Learning in Climate Research project in Slovenia develops AI solutions to better understand and predict climate and atmospheric processes. Research areas include extreme weather events, aerosols, air pollution sources, and long-term climate prediction. The project runs from 2023 to 2028 and applies machine learning to support climate science and policy.
Name in original language
SMASH – Strojno učenje v podnebju
Initiative overview
The SMASH – Machine Learning in Climate Research initiative is a major Slovenian project running from 2023 to 2028, focusing on the use of AI and machine learning to advance climate science. It forms part of the broader SMASH programme, which supports interdisciplinary research at the intersection of artificial intelligence and environmental challenges.
The initiative addresses several key research fields:
- Extreme weather events – improving forecasting and risk analysis
- Aerosols and their impact on climate – studying anthropogenic and natural aerosols and their mixtures
- Air pollution source identification – using machine learning to trace pollutants
- Long-term atmospheric prediction – enhancing climate models with AI methods
The project supports both scientific research and policy development, aiming to provide better tools for understanding environmental risks, mitigating climate change, and supporting sustainable decision-making.
Name of responsible organisation (in English)
Research and Innovation Agency (ARIS)
