Transferring climate change physical knowledge
2025, Proceedings Of The National Academy Of Sciences, doi: 10.1073/pnas.2413503122
Filtering by author: Aloisio Giovanni
End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning
Elia D., Scardigno S., Ejarque J., D'Anca A., Accarino G., Scoccimarro E., Donno D., Peano D., Immorlano F., Aloisio G.
2023, Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W '23), Association for Computing Machinery, New York, NY, USA, 2042–2052, doi: 10.1145/3624062.3624283
An ensemble machine learning approach for tropical cyclone localization and tracking from ERA5 reanalysis data
Accarino G., Donno D., Immorlano F., Elia D., Aloisio G.
2023, Earth and Space Science, Volume 10, Issue 11, doi: 10.1029/2023EA003106
PyOphidia: A Python library for High Performance Data Analytics at scale
Elia D., Palazzo C., Fiore S., D'Anca A., Mariello A., Aloisio G.
2023, SoftwareX, Volume 24, 2023, 101538, ISSN 2352-7110, doi: 10.1016/j.softx.2023.101538
A Data Space for Climate Science in the European Open Science Cloud
Elia D., Antonio F., Fiore S., Nassisi P., Aloisio G.
2023, Computing in Science & Engineering, vol. 25, no. 1, pp. 7-15, Jan.-Feb. 2023, doi: 10.1109/MCSE.2023.3274047
Parallel implementation of the SHYFEM (System of HydrodYnamic Finite Element Modules) model
Micaletto G., Barletta I., Mocavero S., Federico I., Epicoco I., Verri G., Coppini G., Schiano P., Aloisio G., Pinardi N.
2022, Geosci. Model Dev., 15, 6025–6046, doi: 10.5194/gmd-15-6025-2022
Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence
Ejarque J., Badia R.M., Albertin L., Aloisio G., Baglione E., Becerra Y., Boschert S., Berlin J. R., D'Anca A., Elia D., Exertier F., Fiore S., Flich J., Folch A., Gibbons S. J., Koldunov N., Lordan F., Lorito S., Løvholt F., Macias J., Marozzo F., Michelini A., Monterrubio-Velasco M., Pienkowska M., de la Puente J., Queralt A., Quintana-Orti E. S., Rodrıguez J. E., Romano F., Rossi R., Rybicki J., Kupczyk M., Selva J., Talia D., Tonini R., Trunfio P., Volpe M.
2022, Future Generation Computer Systems, Volume 134, pages 414-429, ISSN 0167-739X, doi: 10.1016/j.future.2022.04.014
An Artificial Neural Network-based approach for predicting the COVID-19 daily effective reproduction number Rt in Italy
Gatto A., Aloisi V., Accarino G., Immorlano F., Chiarelli M., Aloisio G.
2022, AI, Volume 3, Issue 1, 146-163, doi: 10.3390/ai3010009
The effect of known and unknown confounders on the relationship between air pollution and Covid-19 mortality in Italy: A sensitivity analysis of an ecological study based on the E-value
Aloisi V., Gatto A., Accarino G., Donato F., Aloisio G.
2022, Environmental Research, Volume 27, 2022, 112131, ISSN 0013-9351, doi: 10.1016/j.envres.2021.112131
MSG-GAN-SD: A Multi-Scale Gradients GAN for Statistical Downscaling of 2-Meter Temperature over the EURO-CORDEX Domain
Accarino G., Chiarelli M., Immorlano F., Aloisi V., Gatto A., Aloisio G.
2021, AI, 2(4), 600-620;, doi: 10.3390/ai2040036