Articles | Volume 15, issue 4
https://doi.org/10.5194/os-15-1023-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-15-1023-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Aug 2019
Research article |
| 02 Aug 2019
| 02 Aug 2019
Using canonical correlation analysis to produce dynamically based and highly efficient statistical observation operators
Ocean Predictions and Applications (OPA) division, Euro-Mediterranean Center on Climate Change (CMCC), Lecce, Italy
Sam Pimentel
Trinity Western University (TWU), Langley, BC, Canada
Wang-Hung Tse
Trinity Western University (TWU), Langley, BC, Canada
Dimitra Denaxa
Hellenic Centre for Marine Research (HCMR), Athens, Greece
Gerasimos Korres
Hellenic Centre for Marine Research (HCMR), Athens, Greece
Isabelle Mirouze
Ocean Modelling and Data Assimilation (ODA) division, Euro-Mediterranean Center on Climate Change (CMCC), Bologna, Italy
Andrea Storto
Ocean Modelling and Data Assimilation (ODA) division, Euro-Mediterranean Center on Climate Change (CMCC), Bologna, Italy
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Karina von Schuckmann, Lorena Moreira, Mathilde Cancet, Flora Gues, Emmanuelle Autret, Jonathan Baker, Clément Bricaud, Romain Bourdalle-Badie, Lluis Castrillo, Lijing Cheng, Frederic Chevallier, Daniele Ciani, Alvaro de Pascual-Collar, Vincenzo De Toma, Marie Drevillon, Claudia Fanelli, Gilles Garric, Marion Gehlen, Rianne Giesen, Kevin Hodges, Doroteaciro Iovino, Simon Jandt-Scheelke, Eric Jansen, Melanie Juza, Ioanna Karagali, Thomas Lavergne, Simona Masina, Ronan McAdam, Audrey Minière, Helen Morrison, Tabea Rebekka Panteleit, Andrea Pisano, Marie-Isabelle Pujol, Ad Stoffelen, Sulian Thual, Simon Van Gennip, Pierre Veillard, Chunxue Yang, and Hao Zuo
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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
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Regional climate models are a fundamental tool for a very large number of applications and are being increasingly used within climate services, together with other complementary approaches. Here, we introduce a new regional coupled model, intended to be later extended to a full Earth system model, for climate investigations within the Mediterranean region, coupled data assimilation experiments, and several downscaling exercises (reanalyses and long-range predictions).
Leonardo Lima, Salvatore Causio, Mehmet Ilicak, Ronan McAdam, and Eric Jansen
State Planet Discuss., https://doi.org/10.5194/sp-2023-19, https://doi.org/10.5194/sp-2023-19, 2023
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Preprint withdrawn
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Emmanouil Flaounas, Silvio Davolio, Shira Raveh-Rubin, Florian Pantillon, Mario Marcello Miglietta, Miguel Angel Gaertner, Maria Hatzaki, Victor Homar, Samira Khodayar, Gerasimos Korres, Vassiliki Kotroni, Jonilda Kushta, Marco Reale, and Didier Ricard
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This is a collective effort to describe the state of the art in Mediterranean cyclone dynamics, climatology, prediction (weather and climate scales) and impacts. More than that, the paper focuses on the future directions of research that would advance the broader field of Mediterranean cyclones as a whole. Thereby, we propose interdisciplinary cooperation and additional modelling and forecasting strategies, and we highlight the need for new impact-oriented approaches to climate prediction.
Gerasimos Korres, Dimitra Denaxa, Eric Jansen, Isabelle Mirouze, Sam Pimentel, Wang-Hung Tse, and Andrea Storto
Ocean Sci. Discuss., https://doi.org/10.5194/os-2018-158, https://doi.org/10.5194/os-2018-158, 2019
Preprint withdrawn
Short summary
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Michalis Ravdas, Anna Zacharioudaki, and Gerasimos Korres
Nat. Hazards Earth Syst. Sci., 18, 2675–2695, https://doi.org/10.5194/nhess-18-2675-2018, https://doi.org/10.5194/nhess-18-2675-2018, 2018
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A high-resolution operational wave forecasting system for the Mediterranean Sea has been developed within the framework of the Copernicus Marine Environment Monitoring Service, which provides open, cost-free, and quality-controlled products. The system accounts for waves arriving through the Straight of Gibraltar and for the effect of surface currents on waves. It provides accurate results over well-exposed locations and satisfactory results within enclosed basins and near the coast.
George Petihakis, Leonidas Perivoliotis, Gerasimos Korres, Dionysios Ballas, Constantin Frangoulis, Paris Pagonis, Manolis Ntoumas, Manos Pettas, Antonis Chalkiopoulos, Maria Sotiropoulou, Margarita Bekiari, Alkiviadis Kalampokis, Michalis Ravdas, Evi Bourma, Sylvia Christodoulaki, Anna Zacharioudaki, Dimitris Kassis, Emmanuel Potiris, George Triantafyllou, Kostas Tsiaras, Evangelia Krasakopoulou, Spyros Velanas, and Nikos Zisis
Ocean Sci., 14, 1223–1245, https://doi.org/10.5194/os-14-1223-2018, https://doi.org/10.5194/os-14-1223-2018, 2018
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Integrated oceanic observations on multiple processes including biogeochemistry are scarce. In the eastern Mediterranean (Cretan Sea) the spatiotemporal coverage of such observations has increased with the expansion of the POSEIDON observatory. The observatory addresses scientific questions, provides services to policy makers and society, and serves as a technological test bed. It plays a key role in European and international observing programs, in harmonization procedures and data handling.
Marianne Pietschnig, Michael Mayer, Takamasa Tsubouchi, Andrea Storto, Sebastian Stichelberger, and Leopold Haimberger
Ocean Sci. Discuss., https://doi.org/10.5194/os-2017-98, https://doi.org/10.5194/os-2017-98, 2017
Revised manuscript not accepted
Short summary
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Zhaoyi Wang, Andrea Storto, Nadia Pinardi, Guimei Liu, and Hui Wang
Nat. Hazards Earth Syst. Sci., 17, 17–30, https://doi.org/10.5194/nhess-17-17-2017, https://doi.org/10.5194/nhess-17-17-2017, 2017
Giovanni Coppini, Eric Jansen, Giuseppe Turrisi, Sergio Creti, Elena Yurievna Shchekinova, Nadia Pinardi, Rita Lecci, Ivano Carluccio, Yogesh Vittal Kumkar, Alessandro D'Anca, Gianandrea Mannarini, Sara Martinelli, Palmalisa Marra, Tommaso Capodiferro, and Tommaso Gismondi
Nat. Hazards Earth Syst. Sci., 16, 2713–2727, https://doi.org/10.5194/nhess-16-2713-2016, https://doi.org/10.5194/nhess-16-2713-2016, 2016
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Andrea Storto and Simona Masina
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Paolo Oddo, Andrea Storto, Srdjan Dobricic, Aniello Russo, Craig Lewis, Reiner Onken, and Emanuel Coelho
Ocean Sci., 12, 1137–1153, https://doi.org/10.5194/os-12-1137-2016, https://doi.org/10.5194/os-12-1137-2016, 2016
Doroteaciro Iovino, Simona Masina, Andrea Storto, Andrea Cipollone, and Vladimir N. Stepanov
Geosci. Model Dev., 9, 2665–2684, https://doi.org/10.5194/gmd-9-2665-2016, https://doi.org/10.5194/gmd-9-2665-2016, 2016
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Eric Jansen, Giovanni Coppini, and Nadia Pinardi
Nat. Hazards Earth Syst. Sci., 16, 1623–1628, https://doi.org/10.5194/nhess-16-1623-2016, https://doi.org/10.5194/nhess-16-1623-2016, 2016
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In March 2014, a commercial airliner vanished without a trace. The main wreckage of the plane was never recovered, except for some small parts that washed up more than 17 months after the disappearance. In this paper we show a method to model the most likely trajectories of floating debris from the aircraft. The results show that the assumed area of the crash site is compatible with the recovered debris and predict that further debris may be found along the African east coast.
P. Katsafados, A. Papadopoulos, G. Korres, and G. Varlas
Geosci. Model Dev., 9, 161–173, https://doi.org/10.5194/gmd-9-161-2016, https://doi.org/10.5194/gmd-9-161-2016, 2016
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This paper includes the entire steps and processes to develop a two-way fully coupled atmosphere-ocean wave model (WEW) aiming a better description and understanding of the exchange processes near the ocean surface. WEW offers a more realistic representation of the extreme weather and sea state events over the ocean bodies and finally leads in an overall improved simulations.
L. Visinelli, S. Masina, M. Vichi, and A. Storto
Biogeosciences Discuss., https://doi.org/10.5194/bgd-11-5399-2014, https://doi.org/10.5194/bgd-11-5399-2014, 2014
Revised manuscript not accepted
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Short summary
The assimilation of satellite SST data into ocean models is complex. The temperature of the thin uppermost layer that is measured by satellites may differ from the much thicker upper layer used in numerical models, leading to biased results. This paper shows how canonical correlation analysis can be used to generate observation operators from existing datasets of model states and corresponding observation values. This type of operator can correct for near-surface effects when assimilating SST.
The assimilation of satellite SST data into ocean models is complex. The temperature of the thin...
