DI
Doroteaciro Iovino
physics.ao-phcoupled data assimilationcs.AIdata assimilationdecadal predictionocean data assimilationocean observation networkocean reanalysisreanalysisS2S prediction
On Valency
published · living versionsW_r3bmtbjc·v1 · currentpublished
Neptune: An AI model for Global Ocean Subseasonal Prediction
with Davide Donno, Italo Epicoco, Massimo Cafaro, Gabriele Accarino +6
1 version
Preprints & journals
7 papers in the corpus · 2019–2026Neptune: An AI model for Global Ocean Subseasonal Prediction2609.08606v1 · Davide Donno, Italo Epicoco, Massimo Cafaro et al.2026 · 0 citationsarXivon Valency
Hybrid physics-data-driven modeling for sea ice thermodynamics and transfer learning2601.23190v2 · Giovanni De Cillis, Alberto Carrassi, Julien Brajard et al.2026 · 1 citationarXiv
Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization.34108493 · Morioka, Yushi, Iovino, Doroteaciro, Cipollone, Andrea et al.2021 · 26 citationsScientific reports. 2021;11(1):11475
The impact of the AMV on Eurasian summer hydrological cycle.32879412 · Nicolì, Dario, Bellucci, Alessio, Iovino, Doroteaciro et al.2020 · 21 citationsScientific reports. 2020;10(1):14444
Interannual to decadal variability within and across the major Eastern Boundary Upwelling Systems.31882768 · Bonino, Giulia, Di Lorenzo, Emanuele, Masina, Simona et al.2020 · 72 citationsScientific reports. 2019;9(1):19949
Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction.31534949 · Penny, Stephen G, Akella, Santha, Balmaseda, Magdalena A et al.2025 · 46 citationsFrontiers in Marine Science. 2019;6:391
Role of sea-ice initialization in climate predictability over the Weddell Sea.30799436 · Morioka, Yushi, Doi, Takeshi, Iovino, Doroteaciro et al.2020 · 24 citationsScientific reports. 2019;9(1):2457
Career total: 210 works. 7 are in this corpus.
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