Sloane, Mona, Ava Birdwell, Antonios Mamalakis, and Charity Nyelele. 2025. “Broadening Access to Climate AI Innovation.”
Publications
2025
Abdelmoaty, Hebatallah M., Simon Michael Papalexiou, Antonios Mamalakis, Shivam Singh, Vincenzo Coia, Melissa Hairabedian, Pascal Szeftel, and Patrick Grover. 2025. “Generative Adversarial Networks for Downscaling Hourly Precipitation in the Canadian Prairies”. Journal of Geophysical Research: Machine Learning and Computation.
Navarra, Gian Giacomo, Curtis Deutsch, Antonios Mamalakis, Andrew Margolskee, and Graeme MacGilchrist. 2025. “Long Term Predictability of Southern Ocean Surface Nutrients Using Explainable Neural Networks”. Journal of Geophysical Research: Machine Learning and Computation.
Krell, Evan, Antonios Mamalakis, Scott A King, Philippe Tissot, and Imme Ebert-Uphoff. 2025. “The Influence of Correlated Features on Neural Network Attribution Methods in Geoscience”. Environmental Data Science.
2024
Mamalakis, Michail, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, and Pietro Lio. 2024. “Solving the Enigma: Enhancing Faithfulness and Comprehensibility in Explanations of Deep Networks”. AI Open.
Papalexiou, Simon Michael, Giuseppe Mascaro, Angeline G Pendergrass, Antonios Mamalakis, Mariana Madruga de Brito, Konstantinos M Andreadis, Kathleen Schiro, et al. 2024. “Sustainability Nexus AID: Storms”. Sustainability Nexus Forum.
Materia, Stefano, Lluís Palma García, Chiem van Straaten, Sungmin O, Antonios Mamalakis, Leone Cavicchia, Dim Coumou, Paolo de Luca, Marlene Kretschmer, and Markus Donat. 2024. “Artificial Intelligence for Climate Prediction of Extremes: State of the Art, Challenges, and Future Perspectives”. Wiley Interdisciplinary Reviews: Climate Change.
2023
Mamalakis, Antonios, Elizabeth A Barnes, and James W Hurrell. 2023. “Using Explainable Artificial Intelligence to Quantify ‘climate Distinguishability’ After Stratospheric Aerosol Injection”. Geophysical Research Letters.
Le, Phong VV, James T Randerson, Rebecca Willett, Stephen Wright, Padhraic Smyth, Guilloteau Clément, Antonios Mamalakis, and Efi Foufoula-Georgiou. 2023. “Climate-Driven Changes in the Predictability of Seasonal Precipitation”. Nature Communications.
McGovern, Amy, David John Gagne, Christopher D Wirz, Imme Ebert-Uphoff, Ann Bostrom, Yuhan Rao, Andrea Schumacher, et al. 2023. “Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School”. Bulletin of the American Meteorological Society.