Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Stefano Tibaldi"'
Accurate predictions of climate variations at the decadal timescale are of great interest for decision-making, planning and adaptation strategies for different socio-economic sectors. Notably, decadal predictions have rapidly evolved during the last
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1641fb9e88ff7fe432068733422a930b
https://doi.org/10.5194/egusphere-egu23-13736
https://doi.org/10.5194/egusphere-egu23-13736
Publikováno v:
Climate Dynamics. 59:3287-3304
Understanding the natural and forced variability of the general circulation of the atmosphere and its drivers is one of the grand challenges in climate science. In particular, it is of paramount importance to understand to what extent the systematic
Autor:
Daniele Perlo, Luca Berton, Alessia Delpiano, Francesca Menchini, Stefano Tibaldi, Marco Grosso, Paolo Fonio
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Autor:
Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino
The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation. Globally, Lung cancer is one of the leading causes of death and the early detection o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::813c8703af76f0f412baa37911d20c45
https://zenodo.org/record/6976823
https://zenodo.org/record/6976823
Autor:
Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Attilio Fiandrotti, Marco Grangetto, Paolo Fonio
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Lungcancer has emerged asamajor causes of death and early detection oflungnodulesis the key towards early cancer diagnosis and treatment effectiveness assessment. Deep neural networks achieve outstanding results in tasks such aslungnodulesdetection,s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a60dd7e2baf6e964c5d43ded7178321
https://zenodo.org/record/6616699
https://zenodo.org/record/6616699
Understanding how the general circulation of the atmosphere is affected by global warming is one of the grand challenges in climate science. Climate models are a valuable tool to: i) identifying potential mechanism for changes in general circulation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d4c4f3a0eb2095b61159225ef8d9b7
https://doi.org/10.5194/egusphere-egu2020-341
https://doi.org/10.5194/egusphere-egu2020-341
Autor:
Stefano Tibaldi, Franco Molteni
The atmospheric circulation in the mid-latitudes of both hemispheres is usually dominated by westerly winds and by planetary-scale and shorter-scale synoptic waves, moving mostly from west to east. A remarkable and frequent exception to this “usual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c6e1c7bb705206c6e832f5b461dbdee
https://doi.org/10.1093/acrefore/9780190228620.013.611
https://doi.org/10.1093/acrefore/9780190228620.013.611
Autor:
Antonio Navarra, Stefano Tibaldi, P. De Mey, Giovanni Coppini, Ruth H. Preller, John M. Huthnance, Nadia Pinardi, Claudia Fratianni, Pierre F. J. Lermusiaux, Luigi Cavaleri
Publikováno v:
Journal of marine research
75 (2017): 103–159. doi:10.1357/002224017821836789
info:cnr-pdr/source/autori:Pinardi N.; Cavaleri L.; Coppini G.; De Mey P.; Fratianni C.; Huthnance J.; Lermusiaux P.F.J.; Navarra A.; Preller R.; Tibaldi S./titolo:From weather to ocean predictions: An historical viewpoint/doi:10.1357%2F002224017821836789/rivista:Journal of marine research (Print)/anno:2017/pagina_da:103/pagina_a:159/intervallo_pagine:103–159/volume:75
75 (2017): 103–159. doi:10.1357/002224017821836789
info:cnr-pdr/source/autori:Pinardi N.; Cavaleri L.; Coppini G.; De Mey P.; Fratianni C.; Huthnance J.; Lermusiaux P.F.J.; Navarra A.; Preller R.; Tibaldi S./titolo:From weather to ocean predictions: An historical viewpoint/doi:10.1357%2F002224017821836789/rivista:Journal of marine research (Print)/anno:2017/pagina_da:103/pagina_a:159/intervallo_pagine:103–159/volume:75
This paper reviews the historical development of concepts and practices in the science of ocean predictions. It begins with meteorology, which conducted the first forecasting experiment in 1950, followed by wind waves, and continuing with tidal and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67087a5e427e628c7da4d08d368e5403
http://hdl.handle.net/11585/618617
http://hdl.handle.net/11585/618617
Autor:
Ulrich Cubasch, Tim Palmer, Anthony Hollingsworth, Čedo Branković, Franco Molteni, E. Klinker, Laura Ferranti, Stefano Tibaldi
Results from 3 ½-yr experimental program of extended-range integrations of the ECMWF numerical weather prediction model are summarized. The topics discussed include: 1) The evolution of extended-range systematic errors and skill in forecasting large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2794abf37c9aa412457c751522cb4c9f
https://ora.ox.ac.uk/objects/uuid:b9090032-a75c-49ab-8eff-60db98155e3a
https://ora.ox.ac.uk/objects/uuid:b9090032-a75c-49ab-8eff-60db98155e3a
A set of 30-day integrations made with the operational ECMWF model over a period of three and a half years (from 1985 to 1988) is studied. the impact of model reformulations during this period on the climate drift of the model is assessed, and the le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c238004713f7d6e4aecc812ab48822
https://ora.ox.ac.uk/objects/uuid:c82205a1-546d-418f-aea1-2096fd28eda1
https://ora.ox.ac.uk/objects/uuid:c82205a1-546d-418f-aea1-2096fd28eda1