Artificial intelligence for modeling and understanding extreme weather and climate events
Universitat de València · Technical University of Munich · +19 more institutions
Abstract
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences, by improving weather forecasting, model emulation, parameter estimation, and the prediction of extreme events. The latter comes with specific challenges, such as developing accurate predictors from noisy, heterogeneous, small sample sizes and data with limited annotations. This paper reviews how AI is being used to analyze extreme climate events (like floods, droughts, wildfires, and heatwaves), highlighting the importance of creating accurate, transparent, and reliable AI models. We discuss the hurdles of dealing with limited data, integrating real-time information, and deploying understandable…
Citation impact
- FWCI
- 177.02
- Percentile
- 100%
- References
- 120
Authors
25- GCGustau Camps‐VallsCorresponding
Universitat de València
- MFMiguel‐Ángel Fernández‐Torres
Universitat de València
- KCKai-Hendrik Cohrs
Universitat de València
- AHAaron Hohl
Technical University of Munich
- ACAndrea Castelletti
RFF-CMCC European Institute on Economics and the Environment, CMCC Foundation - Euro-Mediterranean Center on Climate Change, Politecnico di Milano
Topics & keywords
- Extreme weather
- Climate change
- Computer science
- Meteorology
- Data science
- Climatology
- Geography
- Ecology
- Climate action