Addressing Climate Change with Artificial Intelligence Methods
A special issue of Climate (ISSN 2225-1154).
Deadline for manuscript submissions: 30 September 2024 | Viewed by 5965
Special Issue Editor
Special Issue Information
Dear Colleagues,
Climate change is a hot topic in contemporary scientific research. Together with the study of historical climatology, dynamical modelling (via global climate/Earth system models) is the standard way to address the complexity of the climate and obtain knowledge about its past behaviour and possible future evolution.
In recent years, however, this complexity has also been addressed via the use of data-driven methods—artificial intelligence (AI) techniques in particular—as alternatives or complementary to dynamical models. The former applications include attribution or prediction studies (about global warming, but also individual phenomena), as well as research into large datsets using deep learning; the latter uses involve downscaling or finds application to specific impact studies, such as hydrological or extreme-event investigations. AI applications have shown also their usefulness in terms of extracting knowledge from large datasets (e.g., sets of satellite data) or addressing the social and economic impacts of climate change, as in cases of human migration.
In this framework, this Special Issue has the ambitious objective of publishing high-quality papers and presenting the latest research and studies dedicated to the application of AI methods to climate change topics. In particular, this Special Issue aims to publish innovative work within a large spectrum of applications.
Both research articles (for general applications and/or case studies) and reviews can be submitted.
Relevant topics of the call include (non-exhaustive list):
- Detection and attribution of climate change by AI methods;
- AI downscaling of dynamical models for obtaining better reconstruction of the past and/or prediction of high-resolution future scenarios;
- Prediction through pure AI methods;
- AI in the study of extreme events;
- AI in impact studies (general or case studies in all possible applications).
Dr. Antonello Pasini
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence methods
- climate change
- AI climate modelling
- AI climate detection/attribution
- downscaling via AI methods
- AI climate prediction
- AI in extreme-event studies
- climate impacts addressed by AI methods