Articles | Volume 17, issue 2
https://doi.org/10.5194/nhess-17-171-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-171-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Feb 2017
Research article |
| 13 Feb 2017
A multi-service data management platform for scientific oceanographic products
Alessandro D'Anca
CORRESPONDING AUTHOR
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Advanced
Scientific Computing Division, via per Monteroni, 73100 Lecce, Italy
Laura Conte
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Advanced
Scientific Computing Division, via per Monteroni, 73100 Lecce, Italy
Paola Nassisi
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Advanced
Scientific Computing Division, via per Monteroni, 73100 Lecce, Italy
Cosimo Palazzo
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Advanced
Scientific Computing Division, via per Monteroni, 73100 Lecce, Italy
Rita Lecci
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Ocean
Predictions and Applications, via Augusto Imperatore 16, 73100 Lecce, Italy
Sergio Cretì
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Ocean
Predictions and Applications, via Augusto Imperatore 16, 73100 Lecce, Italy
Marco Mancini
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Advanced
Scientific Computing Division, via per Monteroni, 73100 Lecce, Italy
Alessandra Nuzzo
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Advanced
Scientific Computing Division, via per Monteroni, 73100 Lecce, Italy
Maria Mirto
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Advanced
Scientific Computing Division, via per Monteroni, 73100 Lecce, Italy
Gianandrea Mannarini
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Ocean
Predictions and Applications, via Augusto Imperatore 16, 73100 Lecce, Italy
Giovanni Coppini
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Ocean
Predictions and Applications, via Augusto Imperatore 16, 73100 Lecce, Italy
Sandro Fiore
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Advanced
Scientific Computing Division, via per Monteroni, 73100 Lecce, Italy
Giovanni Aloisio
Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC),
Supercomputing Center, via per Monteroni, 73100 Lecce, Italy
University of Salento, Complesso Ecotekne, via per Monteroni, 73100
Lecce, Italy
Related authors
No articles found.
Archit Shirish Wadalkar, Michalis I. Vousdoukas, Massimo Tondello, Vitali Sharmar, Evangelos Voukouvalas, Salvatore Causio, Ivan Federico, Giovanni Coppini, and Lorenzo Mentaschi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-598, https://doi.org/10.5194/essd-2026-598, 2026
Preprint under review for ESSD
Short summary
Short summary
We present a global hazard-oriented dataset of storm surges and significant wave heights, including bulk and spectral peak wave parameters, spanning 1950–2023 on a high-resolution in coastal areas. Significant wave heights are bias-corrected using satellite altimetry, while storm surges are derived from sea surface heights through frequency-based filtering. The dataset is tailor made for regional downscaling and assessment of compound-events for multi hazard mapping.
Mohammad Hadi Bahmanpour, Alois Tilloy, Michalis Vousdoukas, Ivan Federico, Giovanni Coppini, Luc Feyen, and Lorenzo Mentaschi
Hydrol. Earth Syst. Sci., 30, 2301–2314, https://doi.org/10.5194/hess-30-2301-2026, https://doi.org/10.5194/hess-30-2301-2026, 2026
Short summary
Short summary
As natural hazards evolve, understanding how extreme events interact over time is crucial. While single extremes have been widely studied, joint extremes remain challenging to analyze. We present a framework that combines advanced statistical modeling with copula theory to capture changing dependencies. Applying it to historical data reveals dynamic patterns in extreme events. To support broader use, we provide an open-source tool for improved hazard assessment.
Rita Lecci, Robyn Gwee, Kun Yan, Sanne Muis, Nadia Pinardi, Jun She, Martin Verlaan, Simona Masina, Wenshan Li, Hui Wang, Salvatore Causio, Antonio Novellino, Marco Alba, Etiënne Kras, Sandra Gaytan Aguilar, and Jan-Bart Calewaert
Nat. Hazards Earth Syst. Sci., 26, 1767–1783, https://doi.org/10.5194/nhess-26-1767-2026, https://doi.org/10.5194/nhess-26-1767-2026, 2026
Short summary
Short summary
This study explored how sea level is changing along the China-Europe Sea Route. By combining satellite and in-situ observations with advanced modeling, the research identified ongoing sea level rise and an increasing frequency of extreme water level events in some regions. These findings underscore the importance of continued monitoring and provide useful knowledge to support long-term planning, coastal resilience, and informed decision-making.
Simona Masina, Andrea Cipollone, Doroteaciro Iovino, Stefania Ciliberti, Rita Lecci, Sergio Cretí, Vladyslav Lyubartsev, Giovanni Coppini, and Emanuela Clementi
EGUsphere, https://doi.org/10.5194/egusphere-2026-887, https://doi.org/10.5194/egusphere-2026-887, 2026
Short summary
Short summary
The paper presents GOFS16, an eddy-resolving global operational ocean and sea ice forecasting system which provides 6-day forecasts of three-dimensional temperature, salinity, currents, sea level, and sea ice properties. The system assimilates satellite and in situ observations using a 3D variational data assimilation scheme. Validation is conducted routinely using global and regional metrics. Results indicate that GOFS16 performs within the expected range of skill for current global systems.
Italo dos Reis Lopes, Ivan Federico, Michalis Vousdoukas, Luisa Perini, Salvatore Causio, Giovanni Coppini, Maurilio Milella, Nadia Pinardi, and Lorenzo Mentaschi
Nat. Hazards Earth Syst. Sci., 26, 811–825, https://doi.org/10.5194/nhess-26-811-2026, https://doi.org/10.5194/nhess-26-811-2026, 2026
Short summary
Short summary
We improved a computer model to simulate coastal flooding by including temporary barriers like sand dunes. We tested it where sand dunes are built seasonally to protect the shoreline for two real storms: one that broke through the dunes and another where dunes held strong. Our model showed how important it is to design these defenses carefully since even if a small part of a dune fails, a major flooding can happen. Overall, our work helps create better tools to manage and protect coastal areas.
Seimur Shirinov, Ivan Federico, Simone Bonamano, Salvatore Causio, Nicolás Biocca, Viviana Piermattei, Daniele Piazzolla, Jacopo Alessandri, Lorenzo Mentaschi, Giovanni Coppini, Marco Marcelli, and Nadia Pinardi
Nat. Hazards Earth Syst. Sci., 25, 3737–3758, https://doi.org/10.5194/nhess-25-3737-2025, https://doi.org/10.5194/nhess-25-3737-2025, 2025
Short summary
Short summary
This research investigates how seagrass meadows attenuate coastal waves. Our methodology integrates site measurements with numerical simulations, revealing that plant flexibility and seasonal growth cycles are crucial factors that enhance model fidelity for predicting wave damping. These insights aid ecosystem-based coastal protection and conservation of these vital habitats. Future work should address current–sediment–vegetation interactions for a more complete hydrodynamic understanding.
Salvatore Causio, Seimur Shirinov, Ivan Federico, Giovanni De Cillis, Emanuela Clementi, Lorenzo Mentaschi, and Giovanni Coppini
Ocean Sci., 21, 1105–1123, https://doi.org/10.5194/os-21-1105-2025, https://doi.org/10.5194/os-21-1105-2025, 2025
Short summary
Short summary
This study examines how waves and ocean currents interact during severe weather, focusing on Medicane Ianos, one of the strongest storms in the Mediterranean. Using advanced modeling, we created a unique system to simulate these interactions, capturing effects like wave-induced water levels and wave-induced effects on the vertical structure of the ocean. We validated our approach with ideal tests and real data from the storm.
Martin Juckes, Karl E. Taylor, Fabrizio Antonio, David Brayshaw, Carlo Buontempo, Jian Cao, Paul J. Durack, Michio Kawamiya, Hyungjun Kim, Tomas Lovato, Chloe Mackallah, Matthew Mizielinski, Alessandra Nuzzo, Martina Stockhause, Daniele Visioni, Jeremy Walton, Briony Turner, Eleanor O'Rourke, and Beth Dingley
Geosci. Model Dev., 18, 2639–2663, https://doi.org/10.5194/gmd-18-2639-2025, https://doi.org/10.5194/gmd-18-2639-2025, 2025
Short summary
Short summary
The Baseline Climate Variables for Earth System Modelling (ESM-BCVs) are defined as a list of 135 variables which have high utility for the evaluation and exploitation of climate simulations. The list reflects the most frequently used variables from Earth system models based on an assessment of data publication and download records from the largest archive of global climate projects.
Paul J. Durack, Karl E. Taylor, Peter J. Gleckler, Gerald A. Meehl, Bryan N. Lawrence, Curt Covey, Ronald J. Stouffer, Guillaume Levavasseur, Atef Ben-Nasser, Sebastien Denvil, Martina Stockhause, Jonathan M. Gregory, Martin Juckes, Sasha K. Ames, Fabrizio Antonio, David C. Bader, John P. Dunne, Daniel Ellis, Veronika Eyring, Sandro L. Fiore, Sylvie Joussaume, Philip Kershaw, Jean-Francois Lamarque, Michael Lautenschlager, Jiwoo Lee, Chris F. Mauzey, Matthew Mizielinski, Paola Nassisi, Alessandra Nuzzo, Eleanor O’Rourke, Jeffrey Painter, Gerald L. Potter, Sven Rodriguez, and Dean N. Williams
EGUsphere, https://doi.org/10.5194/egusphere-2024-3729, https://doi.org/10.5194/egusphere-2024-3729, 2025
Short summary
Short summary
CMIP6 was the most expansive and ambitious Model Intercomparison Project (MIP), the latest in a history, extending four decades. CMIP engaged a growing community focused on improving climate understanding, and quantifying and attributing observed climate change being experienced today. The project's profound impact is due to the combining the latest climate science and technology, enabling the latest-generation climate simulations and increasing community attention in every successive phase.
Colin G. Jones, Fanny Adloff, Ben B. B. Booth, Peter M. Cox, Veronika Eyring, Pierre Friedlingstein, Katja Frieler, Helene T. Hewitt, Hazel A. Jeffery, Sylvie Joussaume, Torben Koenigk, Bryan N. Lawrence, Eleanor O'Rourke, Malcolm J. Roberts, Benjamin M. Sanderson, Roland Séférian, Samuel Somot, Pier Luigi Vidale, Detlef van Vuuren, Mario Acosta, Mats Bentsen, Raffaele Bernardello, Richard Betts, Ed Blockley, Julien Boé, Tom Bracegirdle, Pascale Braconnot, Victor Brovkin, Carlo Buontempo, Francisco Doblas-Reyes, Markus Donat, Italo Epicoco, Pete Falloon, Sandro Fiore, Thomas Frölicher, Neven S. Fučkar, Matthew J. Gidden, Helge F. Goessling, Rune Grand Graversen, Silvio Gualdi, José M. Gutiérrez, Tatiana Ilyina, Daniela Jacob, Chris D. Jones, Martin Juckes, Elizabeth Kendon, Erik Kjellström, Reto Knutti, Jason Lowe, Matthew Mizielinski, Paola Nassisi, Michael Obersteiner, Pierre Regnier, Romain Roehrig, David Salas y Mélia, Carl-Friedrich Schleussner, Michael Schulz, Enrico Scoccimarro, Laurent Terray, Hannes Thiemann, Richard A. Wood, Shuting Yang, and Sönke Zaehle
Earth Syst. Dynam., 15, 1319–1351, https://doi.org/10.5194/esd-15-1319-2024, https://doi.org/10.5194/esd-15-1319-2024, 2024
Short summary
Short summary
We propose a number of priority areas for the international climate research community to address over the coming decade. Advances in these areas will both increase our understanding of past and future Earth system change, including the societal and environmental impacts of this change, and deliver significantly improved scientific support to international climate policy, such as future IPCC assessments and the UNFCCC Global Stocktake.
Gianandrea Mannarini, Mario Leonardo Salinas, Lorenzo Carelli, Nicola Petacco, and Josip Orović
Geosci. Model Dev., 17, 4355–4382, https://doi.org/10.5194/gmd-17-4355-2024, https://doi.org/10.5194/gmd-17-4355-2024, 2024
Short summary
Short summary
Ship weather routing has the potential to reduce CO2 emissions, but it currently lacks open and verifiable research. The Python-refactored VISIR-2 model considers currents, waves, and wind to optimise routes. The model was validated, and its computational performance is quasi-linear. For a ferry sailing in the Mediterranean Sea, VISIR-2 yields the largest percentage emission savings for upwind navigation. Given the vessel performance curve, the model is generalisable across various vessel types.
Giovanni Coppini, Emanuela Clementi, Gianpiero Cossarini, Stefano Salon, Gerasimos Korres, Michalis Ravdas, Rita Lecci, Jenny Pistoia, Anna Chiara Goglio, Massimiliano Drudi, Alessandro Grandi, Ali Aydogdu, Romain Escudier, Andrea Cipollone, Vladyslav Lyubartsev, Antonio Mariani, Sergio Cretì, Francesco Palermo, Matteo Scuro, Simona Masina, Nadia Pinardi, Antonio Navarra, Damiano Delrosso, Anna Teruzzi, Valeria Di Biagio, Giorgio Bolzon, Laura Feudale, Gianluca Coidessa, Carolina Amadio, Alberto Brosich, Arnau Miró, Eva Alvarez, Paolo Lazzari, Cosimo Solidoro, Charikleia Oikonomou, and Anna Zacharioudaki
Ocean Sci., 19, 1483–1516, https://doi.org/10.5194/os-19-1483-2023, https://doi.org/10.5194/os-19-1483-2023, 2023
Short summary
Short summary
The paper presents the Mediterranean Forecasting System evolution and performance developed in the framework of the Copernicus Marine Service.
Stefania A. Ciliberti, Enrique Alvarez Fanjul, Jay Pearlman, Kirsten Wilmer-Becker, Pierre Bahurel, Fabrice Ardhuin, Alain Arnaud, Mike Bell, Segolene Berthou, Laurent Bertino, Arthur Capet, Eric Chassignet, Stefano Ciavatta, Mauro Cirano, Emanuela Clementi, Gianpiero Cossarini, Gianpaolo Coro, Stuart Corney, Fraser Davidson, Marie Drevillon, Yann Drillet, Renaud Dussurget, Ghada El Serafy, Katja Fennel, Marcos Garcia Sotillo, Patrick Heimbach, Fabrice Hernandez, Patrick Hogan, Ibrahim Hoteit, Sudheer Joseph, Simon Josey, Pierre-Yves Le Traon, Simone Libralato, Marco Mancini, Pascal Matte, Angelique Melet, Yasumasa Miyazawa, Andrew M. Moore, Antonio Novellino, Andrew Porter, Heather Regan, Laia Romero, Andreas Schiller, John Siddorn, Joanna Staneva, Cecile Thomas-Courcoux, Marina Tonani, Jose Maria Garcia-Valdecasas, Jennifer Veitch, Karina von Schuckmann, Liying Wan, John Wilkin, and Romane Zufic
State Planet, 1-osr7, 2, https://doi.org/10.5194/sp-1-osr7-2-2023, https://doi.org/10.5194/sp-1-osr7-2-2023, 2023
Giorgio Micaletto, Ivano Barletta, Silvia Mocavero, Ivan Federico, Italo Epicoco, Giorgia Verri, Giovanni Coppini, Pasquale Schiano, Giovanni Aloisio, and Nadia Pinardi
Geosci. Model Dev., 15, 6025–6046, https://doi.org/10.5194/gmd-15-6025-2022, https://doi.org/10.5194/gmd-15-6025-2022, 2022
Short summary
Short summary
The full exploitation of supercomputing architectures requires a deep revision of the current climate models. This paper presents the parallelization of the three-dimensional hydrodynamic model SHYFEM (System of HydrodYnamic Finite Element Modules). Optimized numerical libraries were used to partition the model domain and solve the sparse linear system of equations in parallel. The performance assessment demonstrates a good level of scalability with a realistic configuration used as a benchmark.
Cited articles
Bahurel, P., Adragna, F., Bell, M. J., Jacq, F., Johannessen, J. A., Le Traon, P., Pinardi, N., and She, J.: Ocean Monitoring and Forecasting Core Services, the European MyOcean Example, in: Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society (Vol. 1), Venice, Italy, 21–25 September 2009, edited by: Hall, J., Harrison, D. E., and Stammer, D., ESA Publication WPP-306, https://doi.org/10.5270/OceanObs09.pp.02, 2009.
Cinquini, L., Crichton, D., Mattmann, C., Harney, J., Shipman, G., Wang, F., Ananthakrishnan, R., Miller, N., Denvil, S., Morgan, M., Pobre, Z., Bell, G. M., Doutriaux, C., Drach, R., Williams, D., Kershaw, P., Pascoe, S., Gonzalez, E., Fiore, S., and Schweitzer, R.: The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data, Future Generation Computer Systems, ISSN 0167-739X, https://doi.org/10.1016/j.future.2013.07.002, 2014.
CLIPC: CLimate Information Portal for Copernicus, http://www.clipc.eu/home, last access: 30 January 2017.
Copernicus: Copernicus web-page, available at: http://www.copernicus.eu/, last access: 30 January 2017.
Coppini, G., Jansen, E., Turrisi, G., Creti, S., Shchekinova, E. Y., Pinardi, N., Lecci, R., Carluccio, I., Kumkar, Y. V., D'Anca, A., Mannarini, G., Martinelli, S., Marra, P., Capodiferro, T., and Gismondi, T.: A new search-and-rescue service in the Mediterranean Sea: a demonstration of the operational capability and an evaluation of its performance using real case scenarios, Nat. Hazards Earth Syst. Sci., 16, 2713–2727, https://doi.org/10.5194/nhess-16-2713-2016, 2016.
De Dominicis, M., Pinardi, N., Zodiatis, G., and Archetti, R.: MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 2: Numerical simulations and validations, Geosci. Model Dev., 6, 1871–1888, https://doi.org/10.5194/gmd-6-1871-2013, 2013a.
De Dominicis, M., Pinardi, N., Zodiatis, G., and Lardner, R.: MEDSLIK-II, a Lagrangian marine surface oil spill model for short-term forecasting – Part 1: Theory, Geosci. Model Dev., 6, 1851-1869, https://doi.org/10.5194/gmd-6-1851-2013, 2013b.
EMODNET: EMODnet MedSea Checkpoint, available at: http://www.emodnet-mediterranean.eu, last access: 30 January 2017.
ESGF: Earth System Grid Federation, available at: http://esgf.llnl.gov, last access: 30 January 2017.
Federico, I., Pinardi, N., Coppini, G., Oddo, P., Lecci, R., and Mossa, M.: Coastal ocean forecasting with an unstructured grid model in the southern Adriatic and northern Ionian seas, Nat. Hazards Earth Syst. Sci., 17, 45–59, https://doi.org/10.5194/nhess-17-45-2017, 2017.
GeoNetwork: GeoNetwork opensource, available at: http://geonetwork-opensource.org (last access: 30 January 2017), 2015.
Guarnieri, A., Oddo, P., Pastore, M., and Pinardi, N.: The Adriatic Basin Forecasting System new model and system development, in: Coastal to Global Operational Oceanography: Achievements and Challenges, edited by: Dahlin, H., Fleming, N. C., and Petersson, S. E., Proceeding of 5th EuroGOOS Conference, Exeter, 2008.
IHO: International Hydrographic Organization, available at: http://www.iho.int/srv1, last access: 30 January 2017.
INSPIRE-directive: Inspire directive web page, available at: http://eur-lex.europa.eu/JOHtml.do?uri=OJ:L:2007:108:SOM:EN:HTML (last access: 30 January 2017), 2007.
INSPIRE: Infrastructure for spatial information in Europe, available at: http://inspire.ec.europa.eu, last access: 30 January 2017.
ISO 19115:2003 Geographic information – Metadata, Tech. rep., International Organization for Standardization (TC 211), 2003a.
ISO 19139:2007 Geographic information – Metadata – XML Schema Implementation, Tech. rep., International Organization for Standardization (TC 211), 2003b.
ISO: ISO Standards Guide, available at: http://www.isotc211.org/Outreach/ISO_TC_211_Standards_Guide.pdf (last access: 30 January 2017), 2009.
Lecci, R., Coppini, G., Cretì, S., Turrisi, G., D'Anca, A., Palazzo, C., Aloisio, G., Fiore, S., Bonaduce, A., Mannarini, G., Kumkar, Y., Ciliberti, S., Federico, I., Agostini, P., Bonarelli, R., Martinelli, S., Marra, P., Scalas, M., Tedesco, L., Rollo, D., Cavallo, A., Tumolo, A., Monacizzo, T., Spagnulo, M., Pinardi, N., Fazioli, L., Olita, A., Cucco, A., Sorgente, R., Tonani, M., and Drudi, M.: SeaConditions: present and future sea conditions for safer navigation, OCEANS 2015, Genova, Italy, https://doi.org/10.1109/OCEANS-Genova.2015.7271764, 2015.
Madec, G.: NEMO Ocean General Circulation Model Reference Manual, Internal Report, LODYC/IPSL, 2008.
Mannarini, G., Pinardi, N., Coppini, G., Oddo, P., and Iafrati, A.: VISIR-I: small vessels – least-time nautical routes using wave forecasts, Geosci. Model Dev., 9, 1597–1625, https://doi.org/10.5194/gmd-9-1597-2016, 2016a.
Mannarini, G., Turrisi, G., D'Anca, A., Scalas, M., Pinardi, N., Coppini, G., Palermo, F., Carluccio, I., Scuro, M., Cretì, S., Lecci, R., Nassisi, P., and Tedesco, L.: VISIR: technological infrastructure of an operational service for safe and efficient navigation in the Mediterranean Sea, Nat. Hazards Earth Syst. Sci., 16, 1791–1806, https://doi.org/10.5194/nhess-16-1791-2016, 2016b.
Moussat, E., Pinardi, N., Manzella, G., and Blanc, F.: EMODnet MedSea Checkpoint for sustainable Blue Growth, EGU General Assembly 2016, Vienna Austria, p. 9103, 17–22 April 2016.
MyOcean: Copernicus Marine Environment Monitoring Service, available at: http://marine.copernicus.eu, last access: 30 January 2017.
NetCDF: OGC NETwork Common Data Format, available at: http://www.opengeospatial.org/standards/netcdf, last access: 30 January 2017a.
NetCDF: Unidata – NetCDF, available at: http://www.opengeospatial.org/standards/netcdf, last access: 30 January 2017b.
Oddo, P., Pinardi, N., and Zavatarelli, M.: A numerical study of the interannual variability of the Adriatic Sea (2000–2002), Sci. Total Environ., 353, 39–56, https://doi.org/10.1016/j.scitotenv.2005.09.061, 2005.
Oddo, P., Pinardi, N., Zavatarelli, M., and Colucelli, A.: The Adriatic Basin forecasting system, ACTA ADRIAT., 47(suppl), 169–184, 2006.
Oddo, P., Adani, M., Pinardi, N., Fratianni, C., Tonani, M., and Pettenuzzo, D.: A nested Atlantic-Mediterranean Sea general circulation model for operational forecasting, Ocean Sci., 5, 461–473, https://doi.org/10.5194/os-5-461-2009, 2009.
OPeNDAP: Open-source Project for a Network Data Access Protocol, available at: https://www.opendap.org/about, last access: 30 January 2017.
Scalas, M., Marra, P., Tedesco, L., Quarta, R., Cantoro, E., Tumolo, A., Rollo, D., and Spagnulo, M.: TESSA: design and implementation of a platform for Situational Sea Awareness, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2016-166, in review, 2016.
Schmuck, F. and Haskin, R.: GPFS: A Shared-Disk File System for Large Computing Clusters, in: Proceedings of the 1st USENIX Conference on File and Storage Technologies, FAST '02, USENIX Association, Berkeley, CA, USA, available at:http://dl.acm.org/citation.cfm?id=1083323.1083349 (last access: 30 January 2017), 2002.
SeaDataNet: Sea-Conditions web-page, available at: http://www.sea-conditions.com, last access: 30 January 2017a.
SeaDataNet: SeaDataNet web-page, available at: http://www.seadatanet.org, last access: 30 January 2017b.
THREDDS: Unidata THREDDS Data Server, available at: http://www.unidata.ucar.edu/software/thredds/current/tds/#home, last access: 30 January 2017.
WMS: OGC 06-042 – OpenGIS Web Map Server Implementation Specification, Tech. rep., Open Geospatial Consortium Inc., Version 1.3.0, edited by: de la Beaujardiere, J., available at: http://portal.opengeospatial.org/files/?artifact_id=14416 (last acces: 8 February 2017), 15 March 2006.
Wilkinson, M. D.: The FAIR Guiding Principles for scientific data management and stewardship, Scientific Data, 3, https://doi.org/10.1038/sdata.2016.18, 2016.
Short summary
Updated situational sea awareness requires an advanced technological system to make data available for decision makers, improving the capacity of intervention and supporting users in managing emergency situations due to natural hazards. The TESSA data platform meets the request of near-real-time access to heterogeneous data with different accuracy, resolution or degrees of aggregation providing efficient and secure data access and strong support to operational oceanographic high-level services.
Updated situational sea awareness requires an advanced technological system to make data...
Altmetrics
Final-revised paper
Preprint