Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study
2025, Ecological Informatics, doi: 10.1016/j.ecoinf.2025.103306
Filtering by: Advanced Digital Innovation Center
Baseline Climate Variables for Earth System Modelling
Juckes M., Taylor K.E., Antonio F., Brayshaw D., Buontempo C., Cao J., Durack P.J., Kawamiya M., Kim H., Lovato T., Mackallah C., Mizielinski M., Nuzzo A., Stockhause M., Visioni D., Walton J., Turner B., O’Rourke E., Dingley B.
2025, Geoscientific Model Development, 18, 2639–2663, doi: 10.5194/gmd-18-2639-2025
Transferring climate change physical knowledge
Immorlano F., Eyring V., le Monnier de Gouville T., Accarino G., Elia D., Mandt S., Aloisio G., Gentine P.
2025, Proceedings Of The National Academy Of Sciences, doi: 10.1073/pnas.2413503122
Baseline Climate Variables for Earth System Modelling
Juckes M.; Taylor K. E.; Antonio F., Brayshaw D.; Buontempo C.; Cao J.; Durack P. J.; Kawamiya M., Kim, H.; Lovato T., Mackallah, C.; Mizielinski, M.; Nuzzo A., at al.
2024, EGUsphere, doi: 10.5194/egusphere-2024-2363
Promoting best practices in ocean forecasting through an Operational Readiness Level
Alvarez Fanjul E.; Ciliberti S.; Pearlman J.; Wilmer-Becker K.; Bahurel P.; Ardhuin F.; Arnaud A.; Azizzadenesheli K.; Aznar R.; Bell M.; Bertino L.; Behera S.; Brassington G.; Calewaert J.B.; Capet A.; Chassignet E.; Ciavatta S.; Cirano M.; Clementi E., [...]Mancini M., et all.
2024, Frontiers in Marine Science, doi: 10.3389/fmars.2024.1443284
Bringing it all together: Science priorities for improved understanding of Earth system change and to support international climate policy
Jones C.G.; Adloff F.; Booth B.B.B.; Cox P.M.; Eyring V.; Friedlingstein P.; Frieler K.; Hewitt H.T.; Jeffery H.A.; Joussaume S.; Koenigk T.; Lawrence B.N.; O'Rourke E.; Roberts M.J.; Sanderson B.M.; Séférian R.; Somot S.; Vidale P.L.; Van Vuuren D.; Acosta M.; Bentsen M.; Bernardello R.; Betts R.; Blockley E.; Boé J.; Bracegirdle T.; Braconnot P.; Brovkin V.; Buontempo C.; Doblas-Reyes F.; Donat M.; Epicoco I., Falloon P.; Fiore S.; Frölicher T.; Fučkar N.S.; Gidden M.J.; Goessling H.F.; Graversen R.G.; Gualdi S., Gutiérrez J.M.; Ilyina T.; Jacob D.; Jones C.D.; Juckes M.; Kendon E.; Kjellström E.; Knutti R.; Lowe J.; Mizielinski M.; Nassisi P., Obersteiner M.; Regnier P.; Roehrig R.; Salas Y Mélia D.; Schleussner C.-F.; Schulz M.; Scoccimarro E., Terray L.; Thiemann H.; Wood R.A.; Yang S.; Zaehle S.
2024, Earth System Dynamics, Volume 15, Issue 5, Pages 1319 - 1351, doi: 10.5194/esd-15-1319-2024
The computational and energy cost of simulation and storage for climate science: lessons from CMIP6
Acosta M.C.; Palomas S.; Paronuzzi Ticco S.V.; Utrera G.; Biercamp J.; Bretonniere P.-A.; Budich R.; Castrillo M.; Caubel A.; Doblas-Reyes F.; Epicoco I., Fladrich U.; Joussaume S.; Kumar Gupta A.; Lawrence B.; Le Sager P.; Lister G.; Moine M.-P.; Rioual J.-C.; Valcke S.; Zadeh N.; Balaji V.
2024, Geoscientific Model Development, Volume 17, Issue 8, Pages 3081 - 3098, doi: 10.5194/gmd-17-3081-2024
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