The computational and energy cost of simulation and storage for climate science: lessons from CMIP6
2024, Geoscientific Model Development, Volume 17, Issue 8, Pages 3081 - 3098, doi: 10.5194/gmd-17-3081-2024
Filtering by: Advanced Scientific Computing Division
Kit4DL: Towards fast prototyping and experimentation in machine learning and deep learning
Walczak J.; Marco M.; Alvi S.
2024, SoftwareX, doi: 10.1016/j.softx.2024.101707
High performance computing to support land, climate, and user-oriented services: The HIGHLANDER Data Portal
Bottazzi, M., Rodríguez-Muñoz, L., Chiavarini, B., Caroli, C., Trotta, G., Dellacasa, C., Marras, G. F., Montanari, M., Santini M., Mancini, M., D'Anca A., Mercogliano P., Raffa M., Villani, G., Tomei, F., Loglisci, N., Gascón, E., Hewson, T., Chillemi, G., … Scipione, G.
2024, Meteorological Applications, 31(2), e2166, doi: 10.1002/met.2166
A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows
Fiore S., Rampazzo M., Elia D., Sacco L., Antonio F., Nassisi P.
2023, IEEE, IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 3332-3339, doi: 10.1109/BigData59044.2023.10386983
Evaluation of operational ocean forecasting systems from the perspective of the users and the experts
Ciliberti S.A., Fanjul E.A., Pearlman J., Wilmer-Becker K., Bahurel P., Ardhuin F., Arnaud A., Bell M., Berthou S., Bertino L., Capet A., Chassignet E., Ciavatta S., Cirano M.,Clementi E., Cossarini G., Coro G., Corney S., Davidson F., Drevillon M., Drillet Y., Dussurget R., El Serafy G., Fennel K., Sotillo M.G., Heimbach P., Hernandez F., Hogan P., Hoteit I., Joseph S., Josey S., Le Traon P-Y., Libralato S., Mancini M., Matte P., Melet A., Miyazawa Y., Moore A.M., Novellino A., Porter A., Regan H., Romero L., Schiller A., Siddorn J., Staneva J., Thomas-Courcoux C., Tonani M., Garcia-Valdecasa J.M., Veitch J., von Schuckmann K., Wan L., Wilkin J., Zufic R.
2023, State of the Planet, 1-osr7, 2, doi: 10.5194/sp-1-osr7-2-2023
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
Smart Meters and Customer Consumption Behavior: An Exploratory Analysis Approach
Benali A.A.E.; Cafaro M.; Epicoco I., Pulimeno M.; Schioppa E.J.; Bonan J.; Bonan J., Tavoni M.
2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 14218 LNCS, Pages 356 - 363, doi: 10.1007/978-3-031-43401-3_23
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