Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mannarini, Gianandrea"'
Autor:
Antonio Olita, Marco Spagnulo, Sandro Fiore, Antonio Bonaduce, Giovanni Aloisio, Giovanni Coppini, Giovanni Quattrocchi, Leopoldo Fazioli, Mario Scalas, Paola Agostini, Laura Conte, Luca Tedesco, Stefania Angela Ciliberti, Arturo Cavallo, Giuseppe Turrisi, Roberto Bonarelli, Davide Rollo, Antonio Tumolo, Andrea Cucco, Gianandrea Mannarini, Palmalisa Marra, Sergio Creti, Giorgia Verri, Laura Panzera, Sara Martinelli, Cosimo Palazzo, Tony Monacizzo, Giancarlo Negro, Marina Tonani, Ivan Federico, Antonio Navarra, Alessandro D'Anca, Nadia Pinardi, Rorberto Sorgente, Paola Nassisi, Yogesh Kumkar, Massimiliano Drudi, Rita Lecci, Letizia Lusito
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 17, Iss 4, Pp 533-547 (2017)
Reliable and timely information on the environmental conditions at sea is key to the safety of professional and recreational users as well as to the optimal execution of their activities. The possibility of users obtaining environmental information i
Publikováno v:
Geoscientific model development
9 (2016): 1597–1625. doi:10.5194/gmd-9-1597-2016
info:cnr-pdr/source/autori:Mannarini G.; Pinardi N.; Coppini G.; Oddo P.; Iafrati A./titolo:VISIR-I: Small vessels-Least-time nautical routes using wave forecasts/doi:10.5194%2Fgmd-9-1597-2016/rivista:Geoscientific model development (Print)/anno:2016/pagina_da:1597/pagina_a:1625/intervallo_pagine:1597–1625/volume:9
Geoscientific Model Development, Vol 9, Iss 4, Pp 1597-1625 (2016)
Geoscientific Model Development, 9 (4). pp. 1597-1625.
Geoscientific Model Development
9 (2016): 1597–1625. doi:10.5194/gmd-9-1597-2016
info:cnr-pdr/source/autori:Mannarini G.; Pinardi N.; Coppini G.; Oddo P.; Iafrati A./titolo:VISIR-I: Small vessels-Least-time nautical routes using wave forecasts/doi:10.5194%2Fgmd-9-1597-2016/rivista:Geoscientific model development (Print)/anno:2016/pagina_da:1597/pagina_a:1625/intervallo_pagine:1597–1625/volume:9
Geoscientific Model Development, Vol 9, Iss 4, Pp 1597-1625 (2016)
Geoscientific Model Development, 9 (4). pp. 1597-1625.
Geoscientific Model Development
Anew numerical model for the on-demand computation of optimal ship routes based on sea-state forecasts has been developed. The model, named VISIR (discoVerIng Safe and effIcient Routes)is designed to support decision-makers when planning amarine voya
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f543e7dd5672609e5f1b37f047f82a15
https://www.geosci-model-dev.net/9/1597/2016/
https://www.geosci-model-dev.net/9/1597/2016/
Autor:
Laura Conte, Marco Mancini, Sergio Creti, Giovanni Coppini, Rita Lecci, Cosimo Palazzo, Sandro Fiore, Maria Mirto, Alessandra Nuzzo, Paola Nassisi, Giovanni Aloisio, Alessandro D'Anca, Gianandrea Mannarini
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 17, Iss 2, Pp 171-184 (2017)
An efficient, secure, and interoperable data platform solution has been developed in the TESSA project to provide fast navigation and access to the data stored in the data archive, as well as a standard-based metadata management support. The platform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe7635049ff6fc704879b78b727069f
https://hdl.handle.net/11587/411830
https://hdl.handle.net/11587/411830
Autor:
Gianandrea Mannarini, Paola Nassisi, Francesco Palermo, Nadia Pinardi, Rita Lecci, Luca Tedesco, Giuseppe Turrisi, Mario Scalas, Sergio Creti, Ivano Carluccio, Matteo Scuro, Alessandro D'Anca, Giovanni Coppini
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 16, Iss 8, Pp 1791-1806 (2016)
VISIR (discoVerIng Safe and effIcient Routes) is an operational decision support system (DSS) for optimal ship routing designed and implemented in the frame of the TESSA (TEchnology for Situational Sea Awareness) project. The system is aimed to incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efc31da3e9b00e08fb8dc37322100ea2
https://doi.org/10.5194/nhess-2016-32
https://doi.org/10.5194/nhess-2016-32