Articles | Volume 17, issue 4
https://doi.org/10.5194/nhess-17-533-2017
© 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-17-533-2017
© 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 Apr 2017
Research article |
| 13 Apr 2017
SeaConditions: a web and mobile service for safer professional and recreational activities in the Mediterranean Sea
Giovanni Coppini
CORRESPONDING AUTHOR
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Palmalisa Marra
Links S.p.A., Links Management and Technology, via R. Scotellaro,
73100 Lecce, Italy
Rita Lecci
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Nadia Pinardi
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Università di Bologna, viale Berti-Pichat, 40126 Bologna, Italy
Sergio Cretì
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Mario Scalas
Links S.p.A., Links Management and Technology, via R. Scotellaro,
73100 Lecce, Italy
Luca Tedesco
Links S.p.A., Links Management and Technology, via R. Scotellaro,
73100 Lecce, Italy
Alessandro D'Anca
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Leopoldo Fazioli
CNR-IAMC, Consiglio Nazionale delle Ricerche – Istituto per
l'Ambiente Marino Costiero, Oristano, Italy
Antonio Olita
CNR-IAMC, Consiglio Nazionale delle Ricerche – Istituto per
l'Ambiente Marino Costiero, Oristano, Italy
Giuseppe Turrisi
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Cosimo Palazzo
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Giovanni Aloisio
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Sandro Fiore
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Antonio Bonaduce
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Yogesh Vittal Kumkar
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Stefania Angela Ciliberti
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Ivan Federico
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Gianandrea Mannarini
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Paola Agostini
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Roberto Bonarelli
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Sara Martinelli
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Giorgia Verri
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Letizia Lusito
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Davide Rollo
Links S.p.A., Links Management and Technology, via R. Scotellaro,
73100 Lecce, Italy
Arturo Cavallo
Links S.p.A., Links Management and Technology, via R. Scotellaro,
73100 Lecce, Italy
Antonio Tumolo
Links S.p.A., Links Management and Technology, via R. Scotellaro,
73100 Lecce, Italy
Tony Monacizzo
Links S.p.A., Links Management and Technology, via R. Scotellaro,
73100 Lecce, Italy
Marco Spagnulo
Links S.p.A., Links Management and Technology, via R. Scotellaro,
73100 Lecce, Italy
Rorberto Sorgente
CNR-IAMC, Consiglio Nazionale delle Ricerche – Istituto per
l'Ambiente Marino Costiero, Oristano, Italy
Andrea Cucco
CNR-IAMC, Consiglio Nazionale delle Ricerche – Istituto per
l'Ambiente Marino Costiero, Oristano, Italy
Giovanni Quattrocchi
CNR-IAMC, Consiglio Nazionale delle Ricerche – Istituto per
l'Ambiente Marino Costiero, Oristano, Italy
Marina Tonani
INGV, Istituto Nazionale di Geofisica e Vulcanologia, Via Donato
Creti 12, 40128 Bologna, Italy now at Met Office, FitzRoy Road, Exeter, UK
Massimiliano Drudi
INGV, Istituto Nazionale di Geofisica e Vulcanologia, Via Donato
Creti 12, 40128 Bologna, Italy
Paola Nassisi
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Laura Conte
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Laura Panzera
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Antonio Navarra
CMCC, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici,
via Augusto Imperatore 16, 73100 Lecce, Italy
Giancarlo Negro
Links S.p.A., Links Management and Technology, via R. Scotellaro,
73100 Lecce, Italy
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State Planet, 5-opsr, 5, https://doi.org/10.5194/sp-5-opsr-5-2025, https://doi.org/10.5194/sp-5-opsr-5-2025, 2025
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Operational ocean forecasting systems (OOFSs) are crucial for human activities, environmental monitoring, and policymaking. An assessment across eight key regions highlights strengths and gaps, particularly in coastal and biogeochemical forecasting. AI offers improvements, but collaboration, knowledge sharing, and initiatives like the OceanPrediction Decade Collaborative Centre (DCC) are key to enhancing accuracy, accessibility, and global forecasting capabilities.
Jennifer Veitch, Enrique Alvarez-Fanjul, Arthur Capet, Stefania Ciliberti, Mauro Cirano, Emanuela Clementi, Fraser Davidson, Ghada el Serafy, Guilherme Franz, Patrick Hogan, Sudheer Joseph, Svitlana Liubartseva, Yasumasa Miyazawa, Heather Regan, and Katerina Spanoudaki
State Planet, 5-opsr, 6, https://doi.org/10.5194/sp-5-opsr-6-2025, https://doi.org/10.5194/sp-5-opsr-6-2025, 2025
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Ocean forecast systems provide information about a future state of the ocean. This information is provided in the form of decision support tools, or downstream applications, that can be accessed by various stakeholders to support livelihoods, coastal resilience and the good governance of the marine environment. This paper provides an overview of the various downstream applications of ocean forecast systems that are utilized around the world.
Liying Wan, Marcos Garcia Sotillo, Mike Bell, Yann Drillet, Roland Aznar, and Stefania Ciliberti
State Planet, 5-opsr, 15, https://doi.org/10.5194/sp-5-opsr-15-2025, https://doi.org/10.5194/sp-5-opsr-15-2025, 2025
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Operating the ocean value chain requires the implementation of steps that must work systematically and automatically to generate ocean predictions and deliver this information. The paper illustrates the main challenges foreseen by operational chains in integrating complex numerical frameworks from the global to coastal scale and discusses existing tools that facilitate orchestration, including examples of existing systems and their capacity to provide high-quality and timely ocean forecasts.
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
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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.
Rodrigo Campos-Caba, Jacopo Alessandri, Paula Camus, Andrea Mazzino, Francesco Ferrari, Ivan Federico, Michalis Vousdoukas, Massimo Tondello, and Lorenzo Mentaschi
Ocean Sci., 20, 1513–1526, https://doi.org/10.5194/os-20-1513-2024, https://doi.org/10.5194/os-20-1513-2024, 2024
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Here we show the development of high-resolution simulations of storm surge in the northern Adriatic Sea employing different atmospheric forcing data and physical configurations. Traditional metrics favor a simulation forced by a coarser database and employing a less sophisticated setup. Closer examination allows us to identify a baroclinic model forced by a high-resolution dataset as being better able to capture the variability and peak values of the storm surge.
José A. Jiménez, Gundula Winter, Antonio Bonaduce, Michael Depuydt, Giulia Galluccio, Bart van den Hurk, H. E. Markus Meier, Nadia Pinardi, Lavinia G. Pomarico, and Natalia Vazquez Riveiros
State Planet, 3-slre1, 3, https://doi.org/10.5194/sp-3-slre1-3-2024, https://doi.org/10.5194/sp-3-slre1-3-2024, 2024
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The Knowledge Hub on Sea Level Rise (SLR) has done a scoping study involving stakeholders from government and academia to identify gaps and needs in SLR information, impacts, and policies across Europe. Gaps in regional SLR projections and uncertainties were found, while concerns were raised about shoreline erosion and emerging problems like saltwater intrusion and ineffective adaptation plans. The need for improved communication to make better decisions on SLR adaptation was highlighted.
Nadia Pinardi, Bart van den Hurk, Michael Depuydt, Thorsten Kiefer, Petra Manderscheid, Lavinia Giulia Pomarico, and Kanika Singh
State Planet, 3-slre1, 2, https://doi.org/10.5194/sp-3-slre1-2-2024, https://doi.org/10.5194/sp-3-slre1-2-2024, 2024
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The Knowledge Hub on Sea Level Rise (KH-SLR), a joint effort between JPI Climate and JPI Oceans, addresses the critical need for science-based information on sea level changes in Europe. The KH-SLR actively involves stakeholders through a co-design process discussing the impacts, adaptation planning, and policy requirements related to SLR in Europe. Its primary output is the KH Assessment Report (KH-AR), which is described in this volume.
Bart van den Hurk, Nadia Pinardi, Alexander Bisaro, Giulia Galluccio, José A. Jiménez, Kate Larkin, Angélique Melet, Lavinia Giulia Pomarico, Kristin Richter, Kanika Singh, Roderik van de Wal, and Gundula Winter
State Planet, 3-slre1, 1, https://doi.org/10.5194/sp-3-slre1-1-2024, https://doi.org/10.5194/sp-3-slre1-1-2024, 2024
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The Summary for Policymakers compiles findings from “Sea Level Rise in Europe: 1st Assessment Report of the Knowledge Hub on Sea Level Rise”. It covers knowledge gaps, observations, projections, impacts, adaptation measures, decision-making principles, and governance challenges. It provides information for each European basin (Mediterranean, Black Sea, North Sea, Baltic Sea, Atlantic, and Arctic) and aims to assist policymakers in enhancing the preparedness of European coasts for sea level rise.
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
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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.
Bethany McDonagh, Emanuela Clementi, Anna Chiara Goglio, and Nadia Pinardi
Ocean Sci., 20, 1051–1066, https://doi.org/10.5194/os-20-1051-2024, https://doi.org/10.5194/os-20-1051-2024, 2024
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Tides in the Mediterranean Sea are typically of low amplitude, but twin experiments with and without tides demonstrate that tides affect the circulation directly at scales away from those of the tides. Analysis of the energy changes due to tides shows that they enhance existing oscillations, and internal tides interact with other internal waves. Tides also increase the mixed layer depth and enhance deep water formation in key regions. Internal tides are widespread in the Mediterranean Sea.
Roberta Benincasa, Giovanni Liguori, Nadia Pinardi, and Hans von Storch
Ocean Sci., 20, 1003–1012, https://doi.org/10.5194/os-20-1003-2024, https://doi.org/10.5194/os-20-1003-2024, 2024
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Ocean dynamics result from the interplay of internal processes and external inputs, primarily from the atmosphere. It is crucial to discern between these factors to gauge the ocean's intrinsic predictability and to be able to attribute a signal under study to either external factors or internal variability. Employing a simple analysis, we successfully characterized this variability in the Mediterranean Sea and compared it with the oceanic response induced by atmospheric conditions.
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
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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.
Skyler Kern, Mary E. McGuinn, Katherine M. Smith, Nadia Pinardi, Kyle E. Niemeyer, Nicole S. Lovenduski, and Peter E. Hamlington
Geosci. Model Dev., 17, 621–649, https://doi.org/10.5194/gmd-17-621-2024, https://doi.org/10.5194/gmd-17-621-2024, 2024
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Computational models are used to simulate the behavior of marine ecosystems. The models often have unknown parameters that need to be calibrated to accurately represent observational data. Here, we propose a novel approach to simultaneously determine a large set of parameters for a one-dimensional model of a marine ecosystem in the surface ocean at two contrasting sites. By utilizing global and local optimization techniques, we estimate many parameters in a computationally efficient manner.
Julio Salcedo-Castro, Antonio Olita, Freddy Saavedra, Gonzalo S. Saldías, Raúl C. Cruz-Gómez, and Cristian D. De la Torre Martínez
Ocean Sci., 19, 1687–1703, https://doi.org/10.5194/os-19-1687-2023, https://doi.org/10.5194/os-19-1687-2023, 2023
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Considering the relevance and impact of river discharges on the coastal environment, it is necessary to understand the processes associated with river plume dynamics in different regions and at different scales. Modeling studies focused on the eastern Pacific coast under the influence of the Humboldt Current are scarce. Here, we conduct for the first time an interannual modeling study of two river plumes off central Chile and discuss their characteristics.
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
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The paper presents the Mediterranean Forecasting System evolution and performance developed in the framework of the Copernicus Marine Service.
Alberto Ribotti, Antonio Bussani, Milena Menna, Andrea Satta, Roberto Sorgente, Andrea Cucco, and Riccardo Gerin
Earth Syst. Sci. Data, 15, 4651–4659, https://doi.org/10.5194/essd-15-4651-2023, https://doi.org/10.5194/essd-15-4651-2023, 2023
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Over 100 experiments were realized between 1998 and 2022 in the Mediterranean Sea using surface coastal and offshore Lagrangian drifters. Raw data were initially unified and pre-processed. Then, the integrity of the received data packages was checked and incomplete ones were discarded. Deployment information was retrieved and integrated into the PostgreSQL database. Data were interpolated at defined time intervals, providing a dataset of 158 trajectories, available in different formats.
Roberto Sorgente, Federica Pessini, Aldo Francis Drago, Alberto Ribotti, Simona Genovese, Marco Barra, Angelo Perilli, Giovanni Quattrocchi, Andrea Cucco, Ignazio Fontana, Giovanni Giacalone, Gualtiero Basilone, and Angelo Bonanno
EGUsphere, https://doi.org/10.5194/egusphere-2023-2193, https://doi.org/10.5194/egusphere-2023-2193, 2023
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Presence and interannual variability of water masses on the continental shelf around Sardinia are studied by CTD data from three cruises carried out between 2019 and 2021. For the first time the analyses are identifying the water mass phenomenology on the south-western Sardinia shelf characterized by the presence of the Atlantic Water driven by Algerian eddies. On the southern and eastern shelves, the presence of the Atlantic Water the water column is affected by the South East Sardinia Gyre.
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
Umesh Pranavam Ayyappan Pillai, Nadia Pinardi, Ivan Federico, Salvatore Causio, Francesco Trotta, Silvia Unguendoli, and Andrea Valentini
Nat. Hazards Earth Syst. Sci., 22, 3413–3433, https://doi.org/10.5194/nhess-22-3413-2022, https://doi.org/10.5194/nhess-22-3413-2022, 2022
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The study presents the application of high-resolution coastal modelling for wave hindcasting on the Emilia-Romagna coastal belt. The generated coastal databases which provide an understanding of the prevailing wind-wave characteristics can aid in predicting coastal impacts.
Alberto Ribotti, Roberto Sorgente, Federica Pessini, Andrea Cucco, Giovanni Quattrocchi, and Mireno Borghini
Earth Syst. Sci. Data, 14, 4187–4199, https://doi.org/10.5194/essd-14-4187-2022, https://doi.org/10.5194/essd-14-4187-2022, 2022
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Over 1468 hydrological vertical profiles were acquired in 21 years in the Mediterranean Sea. This allowed us to follow the diffusion of the Western Mediterranean Transient along all western seas or make some important repetitions across straits, channels, or at defined locations. These data are now available in four open-access online datasets, including profiles of water temperature, conductivity, dissolved oxygen, chlorophyll α fluorescence, and, after 2004, turbidity and pH.
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
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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.
Enrico Scoccimarro, Daniele Peano, Silvio Gualdi, Alessio Bellucci, Tomas Lovato, Pier Giuseppe Fogli, and Antonio Navarra
Geosci. Model Dev., 15, 1841–1854, https://doi.org/10.5194/gmd-15-1841-2022, https://doi.org/10.5194/gmd-15-1841-2022, 2022
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This study evaluated the ability of the CMCC-CM2 climate model participating to the last CMIP6 effort, in representing extreme events of precipitation and temperature at the daily and 6-hourly frequencies. The 1/4° resolution version of the atmospheric model provides better results than the version at 1° resolution for temperature extremes, at both time frequencies. For precipitation extremes, especially at the daily time frequency, the higher resolution does not improve model results.
Cited articles
Almirall, E. and Wareham, J.: Living Labs: Arbiters of Mid- and Ground-Level Innovation, Technol. Anal. Strateg., 23, 87–102, https://doi.org/10.1080/09537325.2011.537110, 2011.
Bignami, F., Marullo, S., Santoleri, R., and Schiano, M. E.: Longwave radiation budget in the Mediterranean Sea, J. Geophys. Res.-Oceans, 100, 2501–2514, 1995.
Castellari, S., Pinardi, N., and Leaman, K.: A model study of air-sea interactions in the Mediterranean Sea, J. Mar. Syst., 18, 89–114, 1998.
Chesbrough, H. W.: Open Innovation: The new imperative for creating and profiting from technology, Boston, Harvard Business School Press, Boston, USA, 2003.
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, 2013.
Dobricic, S. and Pinardi, N.: An oceanographic three-dimensional variational data assimilation scheme, Ocean Model., 22, 89–105, 2008.
Dobricic, S., Pinardi, N., Adani, M., Tonani, M., Fratianni, C., Bonazzi, A., and Fernandez, V.: Daily oceanographic analyses by Mediterranean Forecasting System at the basin scale, Ocean Sci., 3, 149–157, https://doi.org/10.5194/os-3-149-2007, 2007.
Guarnieri, A., Oddo, P., Pastore, M., Pinardi, N., and Ravaioli, M.: 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, 20–22 May 2008, Exeter, 184–190, 2010.
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. A., 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, in: Proceedings of OCEANS'15 MTS/IEEE GENOVA, 18–21 May 2015, Genova, https://doi.org/10.1109/OCEANS-Genova.2015.7271764, 2015.
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, 2016.
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, 2005.
Oddo, P., Pinardi, N., Zavatarelli, M., and Colucelli, A.: The Adriatic Basin forecasting system, Acta Adriat., 47, 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.
Olita, A., Sorgente, R., Natale, S., Gabersek, S., Ribotti, A., Bonanno, A., and Patti, B.: Effects of the 2003 European heat-wave on the Central Mediterranean Sea: surface fluxes and the dynamical response, Ocean Sci., 3, 273–289, https://doi.org/10.5194/os-3-273-2007, 2007.
Olita, A., Dobricic, S., Ribotti, A., Fazioli, L., Cucco, A., Dufau, C., and Sorgente, R.: Impact of SLA assimilation in the Sicily Channel Regional Model: model skills and mesoscale features, Ocean Sci., 8, 485–496, https://doi.org/10.5194/os-8-485-2012, 2012.
Pinardi, N., Allen, I., Demirov, E., De Mey, P., Korres, G., Lascaratos, A., Traon, P. Y., Maillard, C., Manzella, G., and Tziavos, C.: The Mediterranean ocean forecasting system: first phase of implementation (1998–2001), Ann. Geophys., 21, 3–20, 2003.
Raicich, F.: Note on flow rates of the Adriatic rivers, Tech. Rep., CNR Istituto Talassografico Sperimentale, Trieste, RF 02/94, 8 pp., 1994.
Sorgente, R., Drago, A. F., and Ribotti, A.: Seasonal variability in the Central Mediterranean Sea circulation, Ann. Geophys., 21, 299–322, 2003.
Sorgente, R., Olita, A., Oddo, P., Fazioli, L., and Ribotti, A.: Numerical simulation and decomposition of kinetic energy in the Central Mediterranean: insight on mesoscale circulation and energy conversion, Ocean Sci., 7, 503–519, https://doi.org/10.5194/os-7-503-2011, 2011.
Tolman, H.: User Manual and system documentation of WAVEWATCH III version 3.14, NOAA/NWS/NCEP/MMAB Technical Note 276, 194 pp., 2009.
Tonani, M., Pinardi, N., Dobricic, S., Pujol, I., and Fratianni, C.: A high-resolution free-surface model of the Mediterranean Sea, Ocean Sci., 4, 1–14, https://doi.org/10.5194/os-4-1-2008, 2008.
Tonani, M., Pinardi, N., Fratianni, C., Pistoia, J., Dobricic, S., Pensieri, S., de Alfonso, M., and Nittis, K.: Mediterranean Forecasting System: forecast and analysis assessment through skill scores, Ocean Sci., 5, 649–660, https://doi.org/10.5194/os-5-649-2009, 2009.
Von Hippel, E.: Lead users: a source of novel product concepts, Manage. Sci., 32, 791–805, https://doi.org/10.1287/mnsc.32.7.791, 1986.
Short summary
SeaConditions aims to support the users by providing the environmental information in due time and with adequate accuracy in the marine and coastal environments, enforcing users' sea situational awareness. SeaConditions consists of a web and mobile application for the provision of meteorological and oceanographic observation and forecasting products. The iOS/Android apps were downloaded by more than 105 000 users and more than 100 000 users have visited the web version (www.sea-conditions.com).
SeaConditions aims to support the users by providing the environmental information in due time...
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