Articles | Volume 16, issue 9
https://doi.org/10.5194/gmd-16-2477-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-2477-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
09 May 2023
Model description paper |
| 09 May 2023
| 09 May 2023
ChemicalDrift 1.0: an open-source Lagrangian chemical-fate and transport model for organic aquatic pollutants
Oceanography and Marine Meteorology, Norwegian Meteorological Institute, Bergen, Norway
Geophysical Institute, University of Bergen, Bergen, Norway
Loris Calgaro
Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari of Venice, Venice, Italy
Knut-Frode Dagestad
Oceanography and Marine Meteorology, Norwegian Meteorological Institute, Bergen, Norway
Christian Ferrarin
CNR – National Research Council of Italy, ISMAR – Institute of Marine Sciences, Venice, Italy
Antonio Marcomini
Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari of Venice, Venice, Italy
Øyvind Breivik
Oceanography and Marine Meteorology, Norwegian Meteorological Institute, Bergen, Norway
Geophysical Institute, University of Bergen, Bergen, Norway
Lars Robert Hole
Oceanography and Marine Meteorology, Norwegian Meteorological Institute, Bergen, Norway
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Christian Ferrarin, Debora Bellafiore, Alejandro Paladio Hernandez, Irina Dinu, and Adrian Stanica
EGUsphere, https://doi.org/10.5194/egusphere-2025-606, https://doi.org/10.5194/egusphere-2025-606, 2025
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We implemented a hydrodynamic model to the entire Danube Delta region consisting of the river network, coastal lagoons and part of the prodelta coastal sea. The model was applied to investigate the water distribution among the river branches, the dynamics of the coastal sea in front of the delta, the renewal capacity of the lagoons, the processes regulating the water exchange among the different water bodies and the potential impacts of lagoon-sea reconnection solutions.
Jean Rabault, Trygve Halsne, Ana Carrasco, Anton Korosov, Joey Voermans, Patrik Bohlinger, Jens Boldingh Debernard, Malte Müller, Øyvind Breivik, Takehiko Nose, Gaute Hope, Fabrice Collard, Sylvain Herlédan, Tsubasa Kodaira, Nick Hughes, Qin Zhang, Kai Haakon Christensen, Alexander Babanin, Lars Willas Dreyer, Cyril Palerme, Lotfi Aouf, Konstantinos Christakos, Atle Jensen, Johannes Röhrs, Aleksey Marchenko, Graig Sutherland, Trygve Kvåle Løken, and Takuji Waseda
EGUsphere, https://doi.org/10.48550/arXiv.2401.07619, https://doi.org/10.48550/arXiv.2401.07619, 2024
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We observe strongly modulated waves-in-ice significant wave height using buoys deployed East of Svalbard. We show that these observations likely cannot be explained by wave-current interaction or tide-induced modulation alone. We also demonstrate a strong correlation between the waves height modulation, and the rate of sea ice convergence. Therefore, our data suggest that the rate of sea ice convergence and divergence may modulate wave in ice energy dissipation.
Roderik van de Wal, Angélique Melet, Debora Bellafiore, Paula Camus, Christian Ferrarin, Gualbert Oude Essink, Ivan D. Haigh, Piero Lionello, Arjen Luijendijk, Alexandra Toimil, Joanna Staneva, and Michalis Vousdoukas
State Planet, 3-slre1, 5, https://doi.org/10.5194/sp-3-slre1-5-2024, https://doi.org/10.5194/sp-3-slre1-5-2024, 2024
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Sea level rise has major impacts in Europe, which vary from place to place and in time, depending on the source of the impacts. Flooding, erosion, and saltwater intrusion lead, via different pathways, to various consequences for coastal regions across Europe. This causes damage to assets, the environment, and people for all three categories of impacts discussed in this paper. The paper provides an overview of the various impacts in Europe.
Emmanouil Flaounas, Stavros Dafis, Silvio Davolio, Davide Faranda, Christian Ferrarin, Katharina Hartmuth, Assaf Hochman, Aristeidis Koutroulis, Samira Khodayar, Mario Marcello Miglietta, Florian Pantillon, Platon Patlakas, Michael Sprenger, and Iris Thurnherr
EGUsphere, https://doi.org/10.5194/egusphere-2024-2809, https://doi.org/10.5194/egusphere-2024-2809, 2024
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Storm Daniel (2023) is one of the most catastrophic ones ever documented in the Mediterranean. Our results highlight the different dynamics and therefore the different predictability skill of precipitation, its extremes and impacts that have been produced in Greece and Libya, the two most affected countries. Our approach concerns a holistic analysis of the storm by articulating dynamics, weather prediction, hydrological and oceanographic implications, climate extremes and attribution theory.
Alvise Benetazzo, Trygve Halsne, Øyvind Breivik, Kjersti Opstad Strand, Adrian H. Callaghan, Francesco Barbariol, Silvio Davison, Filippo Bergamasco, Cristobal Molina, and Mauro Bastianini
Ocean Sci., 20, 639–660, https://doi.org/10.5194/os-20-639-2024, https://doi.org/10.5194/os-20-639-2024, 2024
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We investigated the behaviour of air bubble plumes in the upper ocean in various stormy conditions. We conducted a field experiment in the North Adriatic Sea using high-resolution sonar. We found that bubble penetration depths respond rapidly to wind and wave forcings and can be triggered by the cooling of the water masses. We also found a strong connection between bubble depths and theoretical CO2 gas transfer. Our findings have implications for air–sea interaction studies.
Luca Arpaia, Christian Ferrarin, Marco Bajo, and Georg Umgiesser
Geosci. Model Dev., 16, 6899–6919, https://doi.org/10.5194/gmd-16-6899-2023, https://doi.org/10.5194/gmd-16-6899-2023, 2023
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We propose a discrete multilayer shallow water model based on z-layers which, thanks to the insertion and removal of surface layers, can deal with an arbitrarily large tidal oscillation independently of the vertical resolution. The algorithm is based on a two-step procedure used in numerical simulations with moving boundaries (grid movement followed by a grid topology change, that is, the insertion/removal of surface layers), which avoids the appearance of very thin surface layers.
Trygve Halsne, Kai Håkon Christensen, Gaute Hope, and Øyvind Breivik
Geosci. Model Dev., 16, 6515–6530, https://doi.org/10.5194/gmd-16-6515-2023, https://doi.org/10.5194/gmd-16-6515-2023, 2023
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Surface waves that propagate in oceanic or coastal environments get influenced by their surroundings. Changes in the ambient current or the depth profile affect the wave propagation path, and the change in wave direction is called refraction. Some analytical solutions to the governing equations exist under ideal conditions, but for realistic situations, the equations must be solved numerically. Here we present such a numerical solver under an open-source license.
Christian Ferrarin, Florian Pantillon, Silvio Davolio, Marco Bajo, Mario Marcello Miglietta, Elenio Avolio, Diego S. Carrió, Ioannis Pytharoulis, Claudio Sanchez, Platon Patlakas, Juan Jesús González-Alemán, and Emmanouil Flaounas
Nat. Hazards Earth Syst. Sci., 23, 2273–2287, https://doi.org/10.5194/nhess-23-2273-2023, https://doi.org/10.5194/nhess-23-2273-2023, 2023
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The combined use of meteorological and ocean models enabled the analysis of extreme sea conditions driven by Medicane Ianos, which hit the western coast of Greece on 18 September 2020, flooding and damaging the coast. The large spread associated with the ensemble highlighted the high model uncertainty in simulating such an extreme weather event. The different simulations have been used for outlining hazard scenarios that represent a fundamental component of the coastal risk assessment.
Marco Bajo, Christian Ferrarin, Georg Umgiesser, Andrea Bonometto, and Elisa Coraci
Ocean Sci., 19, 559–579, https://doi.org/10.5194/os-19-559-2023, https://doi.org/10.5194/os-19-559-2023, 2023
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This work uses a hydrodynamic model which assimilates in situ data to reproduce tides, surges, and seiches in the Mediterranean basin. Furthermore, we study the periods of the barotropic modes of the Mediterranean and Adriatic basins. This research aims to improve the forecasting and reanalysis for operational warning and climatological studies. It aims also to reach a better knowledge of these sea level components in this area.
Julius Schlumberger, Christian Ferrarin, Sebastiaan N. Jonkman, Manuel Andres Diaz Loaiza, Alessandro Antonini, and Sandra Fatorić
Nat. Hazards Earth Syst. Sci., 22, 2381–2400, https://doi.org/10.5194/nhess-22-2381-2022, https://doi.org/10.5194/nhess-22-2381-2022, 2022
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Flooding has serious impacts on the old town of Venice. This paper presents a framework combining a flood model with a flood-impact model to support improving protection against future floods in Venice despite the recently built MOSE barrier. Applying the framework to seven plausible flood scenarios, it was found that individual protection has a significant damage-mediating effect if the MOSE barrier does not operate as anticipated. Contingency planning thus remains important in Venice.
Graig Sutherland, Victor de Aguiar, Lars-Robert Hole, Jean Rabault, Mohammed Dabboor, and Øyvind Breivik
The Cryosphere, 16, 2103–2114, https://doi.org/10.5194/tc-16-2103-2022, https://doi.org/10.5194/tc-16-2103-2022, 2022
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The marginal ice zone (MIZ), which is the transition region between the open ocean and the dense pack ice, is a very dynamic region comprising a mixture of ice and ocean conditions. Using novel drifters deployed in various ice conditions in the MIZ, several material transport models are tested with two operational ice–ocean prediction systems. A new general transport equation, which uses both the ice and ocean solutions, is developed that reduces the error in drift prediction for our case study.
Davide Zanchettin, Sara Bruni, Fabio Raicich, Piero Lionello, Fanny Adloff, Alexey Androsov, Fabrizio Antonioli, Vincenzo Artale, Eugenio Carminati, Christian Ferrarin, Vera Fofonova, Robert J. Nicholls, Sara Rubinetti, Angelo Rubino, Gianmaria Sannino, Giorgio Spada, Rémi Thiéblemont, Michael Tsimplis, Georg Umgiesser, Stefano Vignudelli, Guy Wöppelmann, and Susanna Zerbini
Nat. Hazards Earth Syst. Sci., 21, 2643–2678, https://doi.org/10.5194/nhess-21-2643-2021, https://doi.org/10.5194/nhess-21-2643-2021, 2021
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Relative sea level in Venice rose by about 2.5 mm/year in the past 150 years due to the combined effect of subsidence and mean sea-level rise. We estimate the likely range of mean sea-level rise in Venice by 2100 due to climate changes to be between about 10 and 110 cm, with an improbable yet possible high-end scenario of about 170 cm. Projections of subsidence are not available, but historical evidence demonstrates that they can increase the hazard posed by climatically induced sea-level rise.
Piero Lionello, David Barriopedro, Christian Ferrarin, Robert J. Nicholls, Mirko Orlić, Fabio Raicich, Marco Reale, Georg Umgiesser, Michalis Vousdoukas, and Davide Zanchettin
Nat. Hazards Earth Syst. Sci., 21, 2705–2731, https://doi.org/10.5194/nhess-21-2705-2021, https://doi.org/10.5194/nhess-21-2705-2021, 2021
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In this review we describe the factors leading to the extreme water heights producing the floods of Venice. We discuss the different contributions, their relative importance, and the resulting compound events. We highlight the role of relative sea level rise and the observed past and very likely future increase in extreme water heights, showing that they might be up to 160 % higher at the end of the 21st century than presently.
Christian Ferrarin, Marco Bajo, and Georg Umgiesser
Geosci. Model Dev., 14, 645–659, https://doi.org/10.5194/gmd-14-645-2021, https://doi.org/10.5194/gmd-14-645-2021, 2021
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The problem of the optimization of ocean monitoring networks is tackled through the implementation of data assimilation techniques in a numerical model. The methodology has been applied to the tide gauge network in the Lagoon of Venice (Italy). The data assimilation methods allow identifying the minimum number of stations and their distribution that correctly represent the lagoon's dynamics. The methodology is easily exportable to other environments and can be extended to other variables.
Christian Ferrarin, Andrea Valentini, Martin Vodopivec, Dijana Klaric, Giovanni Massaro, Marco Bajo, Francesca De Pascalis, Amedeo Fadini, Michol Ghezzo, Stefano Menegon, Lidia Bressan, Silvia Unguendoli, Anja Fettich, Jure Jerman, Matjaz̆ Ličer, Lidija Fustar, Alvise Papa, and Enrico Carraro
Nat. Hazards Earth Syst. Sci., 20, 73–93, https://doi.org/10.5194/nhess-20-73-2020, https://doi.org/10.5194/nhess-20-73-2020, 2020
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Here we present a shared and interoperable system to allow a better exchange of and elaboration on information related to sea storms among countries. The proposed integrated web system (IWS) is a combination of a common data system for sharing ocean observations and forecasts, a multi-model ensemble system, a geoportal, and interactive geo-visualization tools. This study describes the application of the developed system to the exceptional storm event of 29 October 2018.
Johannes Röhrs, Knut-Frode Dagestad, Helene Asbjørnsen, Tor Nordam, Jørgen Skancke, Cathleen E. Jones, and Camilla Brekke
Ocean Sci., 14, 1581–1601, https://doi.org/10.5194/os-14-1581-2018, https://doi.org/10.5194/os-14-1581-2018, 2018
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Simulations of hypothetical oil spills are presented to investigate how the vertical mixing of oil affects transport towards various directions. It is shown that the horizontal transport of oil greatly varies for different oil types and weather conditions. These differences are a consequence of the entrainment of oil from the surface into the ocean. While oil spills often get entrained into the water by waves, we show that submerged oil typically resurfaces after a few hours or days.
Lars R. Hole, Knut-Frode Dagestad, Johannes Röhrs, Cecilie Wettre, Vassiliki H. Kourafalou, Ioannis Androulidakis, Matthieu Le Hénaff, Heesook Kang, and Oscar Garcia-Pineda
Ocean Sci. Discuss., https://doi.org/10.5194/os-2018-130, https://doi.org/10.5194/os-2018-130, 2018
Revised manuscript not accepted
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This study shows how the Mississippi river influenced the spreading of oil in the Gulf of Mexico after the DeepWater Horizon disaster. High resolution numerical models for ocean and atmosphere circulation are used to force an oil drift model. The circulation is totally different when river input is removed in the ocean model. The study also showcase the importance of the choice of oil droplet size distribution. Model output is compared with satellite observation of surface oil.
Knut-Frode Dagestad, Johannes Röhrs, Øyvind Breivik, and Bjørn Ådlandsvik
Geosci. Model Dev., 11, 1405–1420, https://doi.org/10.5194/gmd-11-1405-2018, https://doi.org/10.5194/gmd-11-1405-2018, 2018
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We have developed a computer code with ability to predict how various substances and objects drift in the ocean. This may be used to, e.g. predict the drift of oil to aid cleanup operations, the drift of man-over-board or lifeboats to aid search and rescue operations, or the drift of fish eggs and larvae to understand and manage fish stocks. This new code merges all such applications into one software tool, allowing to optimise and channel any available resources and developments.
Kai Håkon Christensen, Ana Carrasco, Jean-Raymond Bidlot, and Øyvind Breivik
Ocean Sci., 13, 589–597, https://doi.org/10.5194/os-13-589-2017, https://doi.org/10.5194/os-13-589-2017, 2017
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In this note we investigate when and where we would expect the bottom to influence the dynamics of surface waves. In deep water, where the presence of the bottom is not felt by the waves, modelers can use a simpler description of wave-mean flow interactions; hence, the results are relevant for coupled wave-ocean modeling systems. The most pronounced influence is on the Northwest Shelf during winter, and can sometimes be significant even far from the coast.
Tjarda J. Roberts, Marina Dütsch, Lars R. Hole, and Paul B. Voss
Atmos. Chem. Phys., 16, 12383–12396, https://doi.org/10.5194/acp-16-12383-2016, https://doi.org/10.5194/acp-16-12383-2016, 2016
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We present Controlled Meteorological (CMET) balloon flights in the Arctic. CMETs are a novel balloon that can be controlled (by satellite link) to change altitude during the flight and remain in the troposphere up to several days. We performed automated repeated soundings in the Arctic boundary layer during the flight and compared the observations (temperature, humidity, wind) to output from two atmospheric models. CMETs are a valuable tool for probing the lower atmosphere in remote regions.
Georg Umgiesser, Petras Zemlys, Ali Erturk, Arturas Razinkova-Baziukas, Jovita Mėžinė, and Christian Ferrarin
Ocean Sci., 12, 391–402, https://doi.org/10.5194/os-12-391-2016, https://doi.org/10.5194/os-12-391-2016, 2016
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The paper explores the importance of physical forcing on the exchange mechanisms and the renewal time in the Curonian Lagoon over 10 years. The influence of ice cover on the exchange rates has been explored. Finally, the influence of water level fluctuations and river discharge has been studied. It has been found that ice cover is surprisingly not very important for changes in renewal time. The single most important factor is river discharge.
P. Zemlys, C. Ferrarin, G. Umgiesser, S. Gulbinskas, and D. Bellafiore
Ocean Sci., 9, 573–584, https://doi.org/10.5194/os-9-573-2013, https://doi.org/10.5194/os-9-573-2013, 2013
C. Ferrarin, M. Ghezzo, G. Umgiesser, D. Tagliapietra, E. Camatti, L. Zaggia, and A. Sarretta
Hydrol. Earth Syst. Sci., 17, 1733–1748, https://doi.org/10.5194/hess-17-1733-2013, https://doi.org/10.5194/hess-17-1733-2013, 2013
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Betty John Kaimathuruthy, Isabel Jalón-Rojas, and Damien Sous
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Studies on plastic pollution have emerged as a rapidly growing field of research. Modelling microplastic transport in estuaries stems from their complex hydrodynamics and diverse particle behaviours affecting the dispersion and retention of microplastics. Our paper reviews key modelling approaches applied in estuaries analyzing their setups and parameterizations. We provide recommendations and future directions to improve the accuracy and modelling strategies for estuarine microplastic research.
Axelle Gaffet, Xavier Bertin, Damien Sous, Héloïse Michaud, Aron Roland, and Emmanuel Cordier
Geosci. Model Dev., 18, 1929–1946, https://doi.org/10.5194/gmd-18-1929-2025, https://doi.org/10.5194/gmd-18-1929-2025, 2025
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This study presents a new global wave model that improves predictions of sea states in tropical areas by using a high-resolution grid and corrected wind fields. The model is validated globally with satellite data and nearshore using in situ data. The model allows for the first time direct comparisons with in situ data collected at 10–30 m water depth, which is very close to shore due to the steep slope usually surrounding volcanic islands.
David Kamm, Julie Deshayes, and Gurvan Madec
EGUsphere, https://doi.org/10.5194/egusphere-2025-1100, https://doi.org/10.5194/egusphere-2025-1100, 2025
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We propose an idealized model of pole-to-pole ocean dynamics designed as a testbed for eddy parameterizations across a range of horizontal scales. While computationally affordable, it is able to capture key metrics of the climate system. By comparing simulations at low, intermediate and high horizontal resolution, we demonstrate its utility for evaluating eddy parameterizations, both in terms of their effect on the mean-state and by diagnosing the unresolved eddy fluxes they aim to represent.
Antoine Mathieu, Yeulwoo Kim, Tian-Jian Hsu, Cyrille Bonamy, and Julien Chauchat
Geosci. Model Dev., 18, 1561–1573, https://doi.org/10.5194/gmd-18-1561-2025, https://doi.org/10.5194/gmd-18-1561-2025, 2025
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Most of the tools available to model sediment transport do not account for complex physical mechanisms such as surface-wave-driven processes. In this study, a new model, sedInterFoam, allows us to reproduce numerically complex configurations in order to investigate coastal sediment transport applications dominated by surface waves and to gain insight into the complex physical processes associated with breaking waves and morphodynamics.
Júlia Crespin, Jordi Solé, and Miquel Canals
EGUsphere, https://doi.org/10.5194/egusphere-2025-865, https://doi.org/10.5194/egusphere-2025-865, 2025
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This study presents the Offline Fennel model, a tool designed to simulate ocean biogeochemical processes efficiently. By using existing hydrodynamic data, the model significantly reduces computation time from 6 hours to just 30 minutes. We tested its accuracy in the Northern Gulf of Mexico and found it closely matches physical-biogeochemical coupled simulations. This model allows researchers to conduct more tests and simulations without the need for extensive computational resources.
Zhaoru Zhang, Chuan Xie, Chuning Wang, Yuanjie Chen, Heng Hu, and Xiaoqiao Wang
Geosci. Model Dev., 18, 1375–1393, https://doi.org/10.5194/gmd-18-1375-2025, https://doi.org/10.5194/gmd-18-1375-2025, 2025
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A coupled fine-resolution ocean–ice model is developed for the Ross Sea and adjacent regions in Antarctica, a key area for the formation of global ocean bottom water, the Antarctic Bottom Water (AABW), which affects global ocean circulation. The model has a high skill level in simulating sea ice production driving the AABW source water formation and AABW properties when assessed against observations. A model experiment shows a significant impact of ice shelf melting on the AABW characteristics.
Swantje Bastin, Aleksei Koldunov, Florian Schütte, Oliver Gutjahr, Marta Agnieszka Mrozowska, Tim Fischer, Radomyra Shevchenko, Arjun Kumar, Nikolay Koldunov, Helmuth Haak, Nils Brüggemann, Rebecca Hummels, Mia Sophie Specht, Johann Jungclaus, Sergey Danilov, Marcus Dengler, and Markus Jochum
Geosci. Model Dev., 18, 1189–1220, https://doi.org/10.5194/gmd-18-1189-2025, https://doi.org/10.5194/gmd-18-1189-2025, 2025
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Vertical mixing is an important process, for example, for tropical sea surface temperature, but cannot be resolved by ocean models. Comparisons of mixing schemes and settings have usually been done with a single model, sometimes yielding conflicting results. We systematically compare two widely used schemes with different parameter settings in two different ocean models and show that most effects from mixing scheme parameter changes are model-dependent.
Matjaž Zupančič Muc, Vitjan Zavrtanik, Alexander Barth, Aida Alvera-Azcarate, Matjaž Ličer, and Matej Kristan
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-208, https://doi.org/10.5194/gmd-2024-208, 2025
Revised manuscript accepted for GMD
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Accurate sea surface temperature data (SST) is crucial for weather forecasting and climate modeling, but satellite observations are often incomplete. We developed a new method called CRITER, which uses machine learning to fill in the gaps in SST data. Our two-stage approach reconstructs large-scale patterns and refines details. Tested on Mediterranean, Adriatic, and Atlantic seas data, CRITER outperforms current methods, reducing errors by up to 44 %.
Marko Rus, Hrvoje Mihanović, Matjaž Ličer, and Matej Kristan
Geosci. Model Dev., 18, 605–620, https://doi.org/10.5194/gmd-18-605-2025, https://doi.org/10.5194/gmd-18-605-2025, 2025
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HIDRA3 is a deep-learning model for predicting sea levels and storm surges, offering significant improvements over previous models and numerical simulations. It utilizes data from multiple tide gauges, enhancing predictions even with limited historical data and during sensor outages. With its advanced architecture, HIDRA3 outperforms current state-of-the-art models by achieving a mean absolute error of up to 15 % lower, proving effective for coastal flood forecasting under diverse conditions.
Isabel Jalón-Rojas, Damien Sous, and Vincent Marieu
Geosci. Model Dev., 18, 319–336, https://doi.org/10.5194/gmd-18-319-2025, https://doi.org/10.5194/gmd-18-319-2025, 2025
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This study presents a novel modeling approach for understanding microplastic transport in coastal waters. The model accurately replicates experimental data and reveals key transport mechanisms. The findings enhance our knowledge of how microplastics move in nearshore environments, aiding in coastal management and efforts to combat plastic pollution globally.
Greig Oldford, Tereza Jarníková, Villy Christensen, and Michael Dunphy
Geosci. Model Dev., 18, 211–237, https://doi.org/10.5194/gmd-18-211-2025, https://doi.org/10.5194/gmd-18-211-2025, 2025
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We developed a 3D ocean model called the Hindcast of the Salish Sea (HOTSSea v1) that recreates physical conditions throughout the Salish Sea from 1980 to 2018. It was not clear that acceptable accuracy could be achieved because of computational and data limitations, but the model's predictions agreed well with observations. When we used the model to examine ocean temperature trends in areas that lack observations, it indicated that some seasons and areas are warming faster than others.
Sofia Flora, Laura Ursella, and Achim Wirth
EGUsphere, https://doi.org/10.5194/egusphere-2024-3391, https://doi.org/10.5194/egusphere-2024-3391, 2025
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We developed a hierarchy of idealized deterministic-stochastic models to simulate the sea surface currents in the Gulf of Trieste. They include tide-and-wind driven sea surface current components, resolving the slowly varying part of the flow and a stochastic signal, representing the fast-varying small-scale dynamics. The comparison with High Frequency Radar observations shows that the non-Gaussian stochastic model captures the essential dynamics and permits to mimic the observed fat-tailed PDF.
Yankun Gong, Xueen Chen, Jiexin Xu, Zhiwu Chen, Qingyou He, Ruixiang Zhao, Xiao-Hua Zhu, and Shuqun Cai
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-165, https://doi.org/10.5194/gmd-2024-165, 2024
Revised manuscript accepted for GMD
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A new internal solitary wave forecasting (ISW) model in the northern South China Sea (ISWFM-NSCS v2.0) improves ISW predictions by incorporating background currents and inhomogeneous stratifications. Additionally, viscosity and diffusivity coefficients are optimized to maintain stable stratifications, extending the forecasting period. Sensitivity experiments illustrate that ISWFM-NSCS v2.0 significantly enhances predictions of various wave properties.
Cecilia Äijälä, Yafei Nie, Lucía Gutiérrez-Loza, Chiara De Falco, Siv Kari Lauvset, Bin Cheng, David A. Bailey, and Petteri Uotila
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-213, https://doi.org/10.5194/gmd-2024-213, 2024
Revised manuscript accepted for GMD
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The sea ice around Antarctica has experienced record lows in recent years. To understand these changes, models are needed. MetROMS-UHel is a new version of an ocean–sea ice model with updated sea ice code and the atmospheric data. We investigate the effect of our updates on different variables with a focus on sea ice and show an improved sea ice representation as compared with observations.
Kyoko Ohashi, Arnaud Laurent, Christoph Renkl, Jinyu Sheng, Katja Fennel, and Eric Oliver
Geosci. Model Dev., 17, 8697–8733, https://doi.org/10.5194/gmd-17-8697-2024, https://doi.org/10.5194/gmd-17-8697-2024, 2024
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We developed a modelling system of the northwest Atlantic Ocean that simulates the currents, temperature, salinity, and parts of the biochemical cycle of the ocean, as well as sea ice. The system combines advanced, open-source models and can be used to study, for example, the ocean capture of atmospheric carbon dioxide, which is a key process in the global climate. The system produces realistic results, and we use it to investigate the roles of tides and sea ice in the northwest Atlantic Ocean.
Eui-Jong Kang, Byung-Ju Sohn, Sang-Woo Kim, Wonho Kim, Young-Cheol Kwon, Seung-Bum Kim, Hyoung-Wook Chun, and Chao Liu
Geosci. Model Dev., 17, 8553–8568, https://doi.org/10.5194/gmd-17-8553-2024, https://doi.org/10.5194/gmd-17-8553-2024, 2024
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Sea surface temperature (SST) is vital in climate, weather, and ocean sciences because it influences air–sea interactions. Errors in the ECMWF model's scheme for predicting ocean skin temperature prompted a revision of the ocean mixed layer model. Validation against infrared measurements and buoys showed a good correlation with minimal deviations. The revised model accurately simulates SST variations and aligns with solar radiation distributions, showing promise for weather and climate models.
Qin Zhou, Chen Zhao, Rupert Gladstone, Tore Hattermann, David Gwyther, and Benjamin Galton-Fenzi
Geosci. Model Dev., 17, 8243–8265, https://doi.org/10.5194/gmd-17-8243-2024, https://doi.org/10.5194/gmd-17-8243-2024, 2024
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We introduce an accelerated forcing approach to address timescale discrepancies between the ice sheets and ocean components in coupled modelling by reducing the ocean simulation duration. The approach is evaluated using idealized coupled models, and its limitations in real-world applications are discussed. Our results suggest it can be a valuable tool for process-oriented coupled ice sheet–ocean modelling and downscaling climate simulations with such models.
Jan D. Zika and Taimoor Sohail
Geosci. Model Dev., 17, 8049–8068, https://doi.org/10.5194/gmd-17-8049-2024, https://doi.org/10.5194/gmd-17-8049-2024, 2024
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We describe a method to relate fluxes of heat and freshwater at the sea surface to the resulting distribution of seawater among categories such as warm and salty or cold and salty. The method exploits the laws that govern how heat and salt change when water mixes. The method will allow the climate community to improve estimates of how much heat the ocean is absorbing and how rainfall and evaporation are changing across the globe.
Xinxin Wang, Jiuke Wang, Wenfang Lu, Changming Dong, Hao Qin, and Haoyu Jiang
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-181, https://doi.org/10.5194/gmd-2024-181, 2024
Revised manuscript accepted for GMD
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Large-scale wave modeling is essential for science and society, typically relying on resource-intensive numerical methods to simulate wave dynamics. In this study, we introduce a rolling AI-based method for modeling global significant wave height. Our model achieves accuracy comparable to traditional numerical methods while significantly improving speed, making it operable on standard laptops. This work demonstrates AI's potential to enhance the accuracy and efficiency of global wave modeling.
Gloria Pietropolli, Luca Manzoni, and Gianpiero Cossarini
Geosci. Model Dev., 17, 7347–7364, https://doi.org/10.5194/gmd-17-7347-2024, https://doi.org/10.5194/gmd-17-7347-2024, 2024
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Monitoring the ocean is essential for studying marine life and human impact. Our new software, PPCon, uses ocean data to predict key factors like nitrate and chlorophyll levels, which are hard to measure directly. By leveraging machine learning, PPCon offers more accurate and efficient predictions.
Rafael Santana, Richard Gorman, Emily Lane, Stuart Moore, Cyprien Bosserelle, Glen Reeve, and Christo Rautenbach
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-110, https://doi.org/10.5194/gmd-2024-110, 2024
Revised manuscript accepted for GMD
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This research explores improving wave forecasts in New Zealand, particularly at Banks Peninsula and Baring Head. We used detailed models, finding that forecasts at Baring Head improved significantly due to its strong tidal currents, but changes at Banks Peninsula were minimal. The study demonstrates that local conditions greatly influence the effectiveness of wave prediction models, highlighting the need for tailored approaches in coastal forecasting to enhance accuracy in the predictions.
Jan De Rydt, Nicolas C. Jourdain, Yoshihiro Nakayama, Mathias van Caspel, Ralph Timmermann, Pierre Mathiot, Xylar S. Asay-Davis, Hélène Seroussi, Pierre Dutrieux, Ben Galton-Fenzi, David Holland, and Ronja Reese
Geosci. Model Dev., 17, 7105–7139, https://doi.org/10.5194/gmd-17-7105-2024, https://doi.org/10.5194/gmd-17-7105-2024, 2024
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Global climate models do not reliably simulate sea-level change due to ice-sheet–ocean interactions. We propose a community modelling effort to conduct a series of well-defined experiments to compare models with observations and study how models respond to a range of perturbations in climate and ice-sheet geometry. The second Marine Ice Sheet–Ocean Model Intercomparison Project will continue to lay the groundwork for including ice-sheet–ocean interactions in global-scale IPCC-class models.
Qian Wang, Yang Zhang, Fei Chai, Y. Joseph Zhang, and Lorenzo Zampieri
Geosci. Model Dev., 17, 7067–7081, https://doi.org/10.5194/gmd-17-7067-2024, https://doi.org/10.5194/gmd-17-7067-2024, 2024
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We coupled an unstructured hydro-model with an advanced column sea ice model to meet the growing demand for increased resolution and complexity in unstructured sea ice models. Additionally, we present a novel tracer transport scheme for the sea ice coupled model and demonstrate that this scheme fulfills the requirements for conservation, accuracy, efficiency, and monotonicity in an idealized test. Our new coupled model also has good performance in realistic tests.
Adrien Garinet, Marine Herrmann, Patrick Marsaleix, and Juliette Pénicaud
Geosci. Model Dev., 17, 6967–6986, https://doi.org/10.5194/gmd-17-6967-2024, https://doi.org/10.5194/gmd-17-6967-2024, 2024
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Mixing is a crucial aspect of the ocean, but its accurate representation in computer simulations is made challenging by errors that result in unwanted mixing, compromising simulation realism. Here we illustrate the spurious effect that tides can have on simulations of south-east Asia. Although they play an important role in determining the state of the ocean, they can increase numerical errors and make simulation outputs less realistic. We also provide insights into how to reduce these errors.
Mohamed Ayache, Jean-Claude Dutay, Anne Mouchet, Kazuyo Tachikawa, Camille Risi, and Gilles Ramstein
Geosci. Model Dev., 17, 6627–6655, https://doi.org/10.5194/gmd-17-6627-2024, https://doi.org/10.5194/gmd-17-6627-2024, 2024
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Water isotopes (δ18O, δD) are one of the most widely used proxies in ocean climate research. Previous studies using water isotope observations and modelling have highlighted the importance of understanding spatial and temporal isotopic variability for a quantitative interpretation of these tracers. Here we present the first results of a high-resolution regional dynamical model (at 1/12° horizontal resolution) developed for the Mediterranean Sea, one of the hotspots of ongoing climate change.
Cara Nissen, Nicole S. Lovenduski, Mathew Maltrud, Alison R. Gray, Yohei Takano, Kristen Falcinelli, Jade Sauvé, and Katherine Smith
Geosci. Model Dev., 17, 6415–6435, https://doi.org/10.5194/gmd-17-6415-2024, https://doi.org/10.5194/gmd-17-6415-2024, 2024
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Autonomous profiling floats have provided unprecedented observational coverage of the global ocean, but uncertainties remain about whether their sampling frequency and density capture the true spatiotemporal variability of physical, biogeochemical, and biological properties. Here, we present the novel synthetic biogeochemical float capabilities of the Energy Exascale Earth System Model version 2 and demonstrate their utility as a test bed to address these uncertainties.
Ye Yuan, Fujiang Yu, Zhi Chen, Xueding Li, Fang Hou, Yuanyong Gao, Zhiyi Gao, and Renbo Pang
Geosci. Model Dev., 17, 6123–6136, https://doi.org/10.5194/gmd-17-6123-2024, https://doi.org/10.5194/gmd-17-6123-2024, 2024
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Accurate and timely forecasting of ocean waves is of great importance to the safety of marine transportation and offshore engineering. In this study, GPU-accelerated computing is introduced in WAve Modeling Cycle 6 (WAM6). With this effort, global high-resolution wave simulations can now run on GPUs up to tens of times faster than the currently available models can on a CPU node with results that are just as accurate.
Krysten Rutherford, Laura Bianucci, and William Floyd
Geosci. Model Dev., 17, 6083–6104, https://doi.org/10.5194/gmd-17-6083-2024, https://doi.org/10.5194/gmd-17-6083-2024, 2024
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Nearshore ocean models often lack complete information about freshwater fluxes due to numerous ungauged rivers and streams. We tested a simple rain-based hydrological model as inputs into an ocean model of Quatsino Sound, Canada, with the aim of improving the representation of the land–ocean connection in the nearshore model. Through multiple tests, we found that the performance of the ocean model improved when providing 60 % or more of the freshwater inputs from the simple runoff model.
Neill Mackay, Taimoor Sohail, Jan David Zika, Richard G. Williams, Oliver Andrews, and Andrew James Watson
Geosci. Model Dev., 17, 5987–6005, https://doi.org/10.5194/gmd-17-5987-2024, https://doi.org/10.5194/gmd-17-5987-2024, 2024
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The ocean absorbs carbon dioxide from the atmosphere, mitigating climate change, but estimates of the uptake do not always agree. There is a need to reconcile these differing estimates and to improve our understanding of ocean carbon uptake. We present a new method for estimating ocean carbon uptake and test it with model data. The method effectively diagnoses the ocean carbon uptake from limited data and therefore shows promise for reconciling different observational estimates.
Lucille Barré, Frédéric Diaz, Thibaut Wagener, Camille Mazoyer, Christophe Yohia, and Christel Pinazo
Geosci. Model Dev., 17, 5851–5882, https://doi.org/10.5194/gmd-17-5851-2024, https://doi.org/10.5194/gmd-17-5851-2024, 2024
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The carbonate system is typically studied using measurements, but modeling can contribute valuable insights. Using a biogeochemical model, we propose a new representation of total alkalinity, dissolved inorganic carbon, pCO2, and pH in a highly dynamic Mediterranean coastal area, the Bay of Marseille, a useful addition to measurements. Through a detailed analysis of pCO2 and air–sea CO2 fluxes, we show that variations are strongly impacted by the hydrodynamic processes that affect the bay.
Xuanxuan Gao, Shuiqing Li, Dongxue Mo, Yahao Liu, and Po Hu
Geosci. Model Dev., 17, 5497–5509, https://doi.org/10.5194/gmd-17-5497-2024, https://doi.org/10.5194/gmd-17-5497-2024, 2024
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Storm surges generate coastal inundation and expose populations and properties to danger. We developed a novel storm surge inundation model for efficient prediction. Estimates compare well with in situ measurements and results from a numerical model. The new model is a significant improvement on existing numerical models, with much higher computational efficiency and stability, which allows timely disaster prevention and mitigation.
Vincenzo de Toma, Daniele Ciani, Yassmin Hesham Essa, Chunxue Yang, Vincenzo Artale, Andrea Pisano, Davide Cavaliere, Rosalia Santoleri, and Andrea Storto
Geosci. Model Dev., 17, 5145–5165, https://doi.org/10.5194/gmd-17-5145-2024, https://doi.org/10.5194/gmd-17-5145-2024, 2024
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This study explores methods to reconstruct diurnal variations in skin sea surface temperature in a model of the Mediterranean Sea. Our new approach, considering chlorophyll concentration, enhances spatial and temporal variations in the warm layer. Comparative analysis shows context-dependent improvements. The proposed "chlorophyll-interactive" method brings the surface net total heat flux closer to zero annually, despite a net heat loss from the ocean to the atmosphere.
Peter Mlakar, Antonio Ricchi, Sandro Carniel, Davide Bonaldo, and Matjaž Ličer
Geosci. Model Dev., 17, 4705–4725, https://doi.org/10.5194/gmd-17-4705-2024, https://doi.org/10.5194/gmd-17-4705-2024, 2024
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We propose a new point-prediction model, the DEep Learning WAVe Emulating model (DELWAVE), which successfully emulates the Simulating WAves Nearshore model (SWAN) over synoptic to climate timescales. Compared to control climatology over all wind directions, the mismatch between DELWAVE and SWAN is generally small compared to the difference between scenario and control conditions, suggesting that the noise introduced by surrogate modelling is substantially weaker than the climate change signal.
Susanna Winkelbauer, Michael Mayer, and Leopold Haimberger
Geosci. Model Dev., 17, 4603–4620, https://doi.org/10.5194/gmd-17-4603-2024, https://doi.org/10.5194/gmd-17-4603-2024, 2024
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Oceanic transports shape the global climate, but the evaluation and validation of this key quantity based on reanalysis and model data are complicated by the distortion of the used modelling grids and the large number of different grid types. We present two new methods that allow the calculation of oceanic fluxes of volume, heat, salinity, and ice through almost arbitrary sections for various models and reanalyses that are independent of the used modelling grids.
Xiaoyu Fan, Baylor Fox-Kemper, Nobuhiro Suzuki, Qing Li, Patrick Marchesiello, Peter P. Sullivan, and Paul S. Hall
Geosci. Model Dev., 17, 4095–4113, https://doi.org/10.5194/gmd-17-4095-2024, https://doi.org/10.5194/gmd-17-4095-2024, 2024
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Simulations of the oceanic turbulent boundary layer using the nonhydrostatic CROCO ROMS and NCAR-LES models are compared. CROCO and the NCAR-LES are accurate in a similar manner, but CROCO’s additional features (e.g., nesting and realism) and its compressible turbulence formulation carry additional costs.
Jilian Xiong and Parker MacCready
Geosci. Model Dev., 17, 3341–3356, https://doi.org/10.5194/gmd-17-3341-2024, https://doi.org/10.5194/gmd-17-3341-2024, 2024
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The new offline particle tracking package, Tracker v1.1, is introduced to the Regional Ocean Modeling System, featuring an efficient nearest-neighbor algorithm to enhance particle-tracking speed. Its performance was evaluated against four other tracking packages and passive dye. Despite unique features, all packages yield comparable results. Running multiple packages within the same circulation model allows comparison of their performance and ease of use.
Sylvain Cailleau, Laurent Bessières, Léonel Chiendje, Flavie Dubost, Guillaume Reffray, Jean-Michel Lellouche, Simon van Gennip, Charly Régnier, Marie Drevillon, Marc Tressol, Matthieu Clavier, Julien Temple-Boyer, and Léo Berline
Geosci. Model Dev., 17, 3157–3173, https://doi.org/10.5194/gmd-17-3157-2024, https://doi.org/10.5194/gmd-17-3157-2024, 2024
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In order to improve Sargassum drift forecasting in the Caribbean area, drift models can be forced by higher-resolution ocean currents. To this goal a 3 km resolution regional ocean model has been developed. Its assessment is presented with a particular focus on the reproduction of fine structures representing key features of the Caribbean region dynamics and Sargassum transport. The simulated propagation of a North Brazil Current eddy and its dissipation was found to be quite realistic.
Gaetano Porcile, Anne-Claire Bennis, Martial Boutet, Sophie Le Bot, Franck Dumas, and Swen Jullien
Geosci. Model Dev., 17, 2829–2853, https://doi.org/10.5194/gmd-17-2829-2024, https://doi.org/10.5194/gmd-17-2829-2024, 2024
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Here a new method of modelling the interaction between ocean currents and waves is presented. We developed an advanced coupling of two models, one for ocean currents and one for waves. In previous couplings, some wave-related calculations were based on simplified assumptions. Our method uses more complex calculations to better represent wave–current interactions. We tested it in a macro-tidal coastal area and found that it significantly improves the model accuracy, especially during storms.
Colette Gabrielle Kerry, Moninya Roughan, Shane Keating, David Gwyther, Gary Brassington, Adil Siripatana, and Joao Marcos A. C. Souza
Geosci. Model Dev., 17, 2359–2386, https://doi.org/10.5194/gmd-17-2359-2024, https://doi.org/10.5194/gmd-17-2359-2024, 2024
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Ocean forecasting relies on the combination of numerical models and ocean observations through data assimilation (DA). Here we assess the performance of two DA systems in a dynamic western boundary current, the East Australian Current, across a common modelling and observational framework. We show that the more advanced, time-dependent method outperforms the time-independent method for forecast horizons of 5 d. This advocates the use of advanced methods for highly variable oceanic regions.
Ivan Hernandez, Leidy M. Castro-Rosero, Manuel Espino, and Jose M. Alsina Torrent
Geosci. Model Dev., 17, 2221–2245, https://doi.org/10.5194/gmd-17-2221-2024, https://doi.org/10.5194/gmd-17-2221-2024, 2024
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The LOCATE numerical model was developed to conduct Lagrangian simulations of the transport and dispersion of marine debris at coastal scales. High-resolution hydrodynamic data and a beaching module that used particle distance to the shore for land–water boundary detection were used on a realistic debris discharge scenario comparing hydrodynamic data at various resolutions. Coastal processes and complex geometric structures were resolved when using nested grids and distance-to-shore beaching.
Ngoc B. Trinh, Marine Herrmann, Caroline Ulses, Patrick Marsaleix, Thomas Duhaut, Thai To Duy, Claude Estournel, and R. Kipp Shearman
Geosci. Model Dev., 17, 1831–1867, https://doi.org/10.5194/gmd-17-1831-2024, https://doi.org/10.5194/gmd-17-1831-2024, 2024
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A high-resolution model was built to study the South China Sea (SCS) water, heat, and salt budgets. Model performance is demonstrated by comparison with observations and simulations. Important discards are observed if calculating offline, instead of online, lateral inflows and outflows of water, heat, and salt. The SCS mainly receives water from the Luzon Strait and releases it through the Mindoro, Taiwan, and Karimata straits. SCS surface interocean water exchanges are driven by monsoon winds.
Louis Thiry, Long Li, Guillaume Roullet, and Etienne Mémin
Geosci. Model Dev., 17, 1749–1764, https://doi.org/10.5194/gmd-17-1749-2024, https://doi.org/10.5194/gmd-17-1749-2024, 2024
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We present a new way of solving the quasi-geostrophic (QG) equations, a simple set of equations describing ocean dynamics. Our method is solely based on the numerical methods used to solve the equations and requires no parameter tuning. Moreover, it can handle non-rectangular geometries, opening the way to study QG equations on realistic domains. We release a PyTorch implementation to ease future machine-learning developments on top of the presented method.
Zheqi Shen, Yihao Chen, Xiaojing Li, and Xunshu Song
Geosci. Model Dev., 17, 1651–1665, https://doi.org/10.5194/gmd-17-1651-2024, https://doi.org/10.5194/gmd-17-1651-2024, 2024
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Parameter estimation is the process that optimizes model parameters using observations, which could reduce model errors and improve forecasting. In this study, we conducted parameter estimation experiments using the CESM and the ensemble adjustment Kalman filter. The obtained initial conditions and parameters are used to perform ensemble forecast experiments for ENSO forecasting. The results revealed that parameter estimation could reduce analysis errors and improve ENSO forecast skills.
Cited articles
Ådlandsvik, B.: VertEgg – a toolbox for simulation of vertical
distributions of fish eggs, version 1.0, Institute of Marine Research, Bergen, 66 pp., 2000. a
Aghito, M.: ChemicalDrift 1.0: code (1.0), Zenodo [code], https://doi.org/10.5281/zenodo.7429159, 2022a. a
Aghito, M.: ChemicalDrift 1.0: code and data (1.0), Zenodo [code and data set], https://doi.org/10.5281/zenodo.7249447, 2022b. a
Azarpira, M., Zarrati, A. R., and Farrokhzad, P.: Comparison between the
Lagrangian and Eulerian Approach in Simulation of Free Surface Air-Core
Vortices, Water, 13, 726, https://doi.org/10.3390/w13050726, 2021. a
Becker, A., Wotawa, G., De Geer, L.-E., Seibert, P., Draxler, R. R., Sloan,
C., D’Amours, R., Hort, M., Glaab, H., Heinrich, P., Grillon, Y.,
Shershakov, V., Katayama, K., Zhang, Y., Stewart, P., Hirtl, M., Jean, M.,
and Chen, P.: Global backtracking of anthropogenic radionuclides by means of
a receptor oriented ensemble dispersion modelling system in support of
Nuclear-Test-Ban Treaty verification, Atmos. Environ., 41,
4520–4534, https://doi.org/10.1016/j.atmosenv.2006.12.048, 2007. a
Bellafiore, D., Mc Kiver, W., Ferrarin, C., and Umgiesser, G.: The
importance of modeling nonhydrostatic processes for dense water reproduction
in the southern Adriatic Sea, Ocean Model., 125, 22–28,
https://doi.org/10.1016/j.ocemod.2018.03.001, 2018. a
Brekke, C., Espeseth, M. M., Dagestad, K.-F., Röhrs, J., Hole, L. R., and
Reigber, A.: Integrated Analysis of Multisensor Datasets and Oil Drift
Simulations – A Free-Floating Oil Experiment in the Open Ocean, J.
Geophys. Res.-Oceans, 126, e2020JC016499,
https://doi.org/10.1029/2020JC016499, 2021. a
Calgaro, L., Badetti, E., Bonetto, A., Contessi, S., Pellay, R., Ferrari, G.,
Artioli, G., and Marcomini, A.: Consecutive thermal and wet conditioning
treatments of sedimentary stabilized cementitious materials from HPSS®
technology: Effects on leaching and microstructure, J. Environ.
Manage., 250, 109503, https://doi.org/10.1016/j.jenvman.2019.109503, 2019. a
Calgaro, L., Contessi, S., Bonetto, A., Badetti, E., Ferrari, G., Artioli, G.,
and Marcomini, A.: Calcium aluminate cement as an alternative to ordinary
Portland cement for the remediation of heavy metals contaminated soil:
mechanisms and performance, J. Soil. Sediment., 21, 1755–1768, https://doi.org/10.1007/s11368-020-02859-x, 2021. a
Chang, Y.-T., Park, H. K., Lee, S., and Kim, E.: Have Emission Control Areas
(ECAs) harmed port efficiency in Europe?, Transport. Res. D, 58, 39–53, https://doi.org/10.1016/j.trd.2017.10.018, 2018. a
Dagestad, K.-F., Röhrs, J., Breivik, Ø., and Ådlandsvik, B.: OpenDrift v1.0: a generic framework for trajectory modelling, Geosci. Model Dev., 11, 1405–1420, https://doi.org/10.5194/gmd-11-1405-2018, 2018. a, b, c
D'Amours, R., Malo, A., Servranckx, R., Bensimon, D., Trudel, S., and
Gauthier-Bilodeau, J.-P.: Application of the atmospheric Lagrangian particle
dispersion model MLDP0 to the 2008 eruptions of Okmok and Kasatochi
volcanoes, J. Geophys. Res.-Atmos., 115, D00L11,
https://doi.org/10.1029/2009JD013602, 2010. a
Danovaro, R. and Boero, F.: Italian Seas, in: World Seas: an Environmental
Evaluation, Elsevier, 283–306, https://doi.org/10.1016/B978-0-12-805068-2.00060-7,
2019. a
Deacon, E. L.: Gas transfer to and across an air-water interface, Tellus, 29,
363–374, https://doi.org/10.1111/j.2153-3490.1977.tb00746.x, 1977. a
Deltares: Delft3D WAVE User manual, Delft, https://content.oss.deltares.nl/delft3d4/D-Water_Quality_User_Manual.pdf, (last access: 28 April 2023), 2023. a
Draxler, R., Arnold, D., Chino, M., Galmarini, S., Hort, M., Jones, A.,
Leadbetter, S., Malo, A., Maurer, C., Rolph, G., Saito, K., Servranckx, R.,
Shimbori, T., Solazzo, E., and Wotawa, G.: World Meteorological
Organization's model simulations of the radionuclide dispersion and
deposition from the Fukushima Daiichi nuclear power plant accident, J.
Environ. Radioactiv., 139, 172–184,
https://doi.org/10.1016/j.jenvrad.2013.09.014, 2015. a
Fantke, P.: USEtox (R) 2.0 Documentation (Version 1.1),
https://doi.org/10.11581/DTU:00000011, 2018. a
Ferrarin, C., Davolio, S., Bellafiore, D., Ghezzo, M., Maicu, F., Drofa, O.,
Umgiesser, G., Bajo, M., De Pascalis, F., Malguzzi, P., Zaggia, L.,
Lorenzetti, G., Manfè, G., and Mc Kiver, W.: Cross-scale operational
oceanography in the Adriatic Sea, J. Oper. Oceanogr., 12, 86–103,
https://doi.org/10.1080/1755876X.2019.1576275, 2019. a
Fofonoff, N. and Millard Jr, R.: Algorithms for the computation of fundamental
properties of seawater, UNESCO Technical Papers in Marine Sciences, 44,
https://doi.org/10.25607/OBP-1450, 1983. a
Galí, M., Falls, M., Claustre, H., Aumont, O., and Bernardello, R.: Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean, Biogeosciences, 19, 1245–1275, https://doi.org/10.5194/bg-19-1245-2022, 2022. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horànyi, A.,
Munoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons,
A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati,
G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M.,
Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2020. a
Hirdman, D., Sodemann, H., Eckhardt, S., Burkhart, J. F., Jefferson, A., Mefford, T., Quinn, P. K., Sharma, S., Ström, J., and Stohl, A.: Source identification of short-lived air pollutants in the Arctic using statistical analysis of measurement data and particle dispersion model output, Atmos. Chem. Phys., 10, 669–693, https://doi.org/10.5194/acp-10-669-2010, 2010. a
Hole, L. R., de Aguiar, V., Dagestad, K.-F., Kourafalou, V. H., Androulidakis,
Y., Kang, H., Le Hénaff, M., and Calzada, A.: Long term simulations of
potential oil spills around Cuba, Mar. Pollut. Bull., 167, 112285, https://doi.org/10.1016/j.marpolbul.2021.112285,
2021. a
Honti, M., Hahn, S., Hennecke, D., Junker, T., Shrestha, P., and Fenner, K.:
Bridging across OECD 308 and 309 Data in Search of a Robust Biotransformation
Indicator, Environ. Sci. Technol., 50, 6865–6872,
https://doi.org/10.1021/acs.est.6b01097, 2016. a
Jalkanen, J.-P., Johansson, L., Wilewska-Bien, M., Granhag, L., Ytreberg, E., Eriksson, K. M., Yngsell, D., Hassellöv, I.-M., Magnusson, K., Raudsepp, U., Maljutenko, I., Winnes, H., and Moldanova, J.: Modelling of discharges from Baltic Sea shipping, Ocean Sci., 17, 699–728, https://doi.org/10.5194/os-17-699-2021, 2021. a
Johnson, M. T.: A numerical scheme to calculate temperature and salinity dependent air-water transfer velocities for any gas, Ocean Sci., 6, 913–932, https://doi.org/10.5194/os-6-913-2010, 2010. a
Karickhoff, S. W. and Morris, K. R.: Sorption dynamics of hydrophobic
pollutants in sediment suspensions, Environ. Toxicol. Chem.,
4, 469–479, https://doi.org/10.1002/etc.5620040407, 1985. a, b
Kobayashi, T., Otosaka, S., Togawa, O., and Hayashi, K.: Development of a
Non-conservative Radionuclides Dispersion Model in the Ocean and its
Application to Surface Cesium-137 Dispersion in the Irish Sea, J.
Nucl. Sci. Tech., 44, 238–247,
https://doi.org/10.1080/18811248.2007.9711278, 2007. a
Lee, H.-J., Kim, S.-W., Brioude, J., Cooper, O. R., Frost, G. J., Kim, C.-H.,
Park, R. J., Trainer, M., and Woo, J.-H.: Transport of NOx in East Asia
identified by satellite and in situ measurements and Lagrangian particle
dispersion model simulations, J. Geophys. Res.-Atmos.,
119, 2574–2596, https://doi.org/10.1002/2013JD021185, 2014. a
Lunde Hermansson, A., Hassellöv, I.-M., Moldanová, J., and Ytreberg, E.:
Comparing emissions of polyaromatic hydrocarbons and metals from marine fuels
and scrubbers, Transport. Res. D, 97,
102912, https://doi.org/10.1016/j.trd.2021.102912, 2021. a, b
McGillis, W. R., Edson, J. B., Hare, J. E., and Fairall, C. W.: Direct
covariance air-sea CO2 fluxes, J. Geophys. Res.-Oceans, 106, 16729–16745, https://doi.org/10.1029/2000JC000506, 2001. a
Myksvoll, M. S., Jung, K.-M., Albretsen, J., and Sundby, S.: Modelling
dispersal of eggs and quantifying connectivity among Norwegian coastal cod
subpopulations, ICES J. Mar. Sci., 71, 957–969,
https://doi.org/10.1093/icesjms/fst022, 2013. a
Naidu, R., Biswas, B., Willett, I. R., Cribb, J., Kumar Singh, B., Paul
Nathanail, C., Coulon, F., Semple, K. T., Jones, K. C., Barclay, A., and
Aitken, R. J.: Chemical pollution: A growing peril and potential
catastrophic risk to humanity, Environ. Int., 156, 106616,
https://doi.org/10.1016/j.envint.2021.106616, 2021. a
Onink, V., Jongedijk, C. E., Hoffman, M. J., van Sebille, E., and Laufkötter,
C.: Global simulations of marine plastic transport show plastic trapping in
coastal zones, Enviro. Res. Lett., 16, 064053,
https://doi.org/10.1088/1748-9326/abecbd, 2021. a
Parnis, J. M. and Mackay, D.: Multimedia Environmental Models, CRC Press,
https://doi.org/10.1201/9780367809829, 2020. a
Paterson, S. and Mackay, D.: Interpreting chemical partitioning in
soil–plant–air systems with a fugacity model, in: Plant Contamination: Modeling and Simulation of Organic ChemicalProcesses, edited by: Trapp, S. and McFarlane, J. C., Lewis, Boca Raton, FL, USA, 191–214, 1995. a
Periáñez, R.: A modelling study on 137Cs and 239,240Pu behaviour in the
Alborán Sea, western Mediterranean, J. Environ. Radioactiv.,
99, 694–715, https://doi.org/10.1016/J.JENVRAD.2007.09.011, 2008. a
Periáñez, R.: Modelling the environmental behaviour of pollutants in
Algeciras Bay (south Spain), Mar. Pollut. Bull., 64, 221–232,
https://doi.org/10.1016/j.marpolbul.2011.11.030, 2012. a
Periáñez, R. and Elliott, A. J.: A particle-tracking method for simulating
the dispersion of non-conservative radionuclides in coastal waters, J.
Environ. Radioactiv., 58, 13–33,
https://doi.org/10.1016/S0265-931X(01)00028-5, 2002. a, b, c
Periáñez, R., Hierro, A., Bolívar, J. P., and Vaca, F.: The geochemical
behavior of natural radionuclides in coastal waters: A modeling study for the
Huelva estuary, J. Marine Syst., 126, 82–93,
https://doi.org/10.1016/j.jmarsys.2012.08.001, 2013. a
Pirotta, E., Thomas, L., Costa, D. P., Hall, A. J., Harris, C. M., Harwood, J.,
Kraus, S. D., Miller, P. J., Moore, M. J., Photopoulou, T., Rolland, R. M.,
Schwacke, L., Simmons, S. E., Southall, B. L., and Tyack, P. L.:
Understanding the combined effects of multiple stressors: A new perspective
on a longstanding challenge, Sci. Total Environ., 821,
153322, https://doi.org/10.1016/j.scitotenv.2022.153322, 2022. a
Prata, A. J., Carn, S. A., Stohl, A., and Kerkmann, J.: Long range transport and fate of a stratospheric volcanic cloud from Soufrière Hills volcano, Montserrat, Atmos. Chem. Phys., 7, 5093–5103, https://doi.org/10.5194/acp-7-5093-2007, 2007. a
Röhrs, J., Dagestad, K.-F., Asbjørnsen, H., Nordam, T., Skancke, J., Jones, C. E., and Brekke, C.: The effect of vertical mixing on the horizontal drift of oil spills, Ocean Sci., 14, 1581–1601, https://doi.org/10.5194/os-14-1581-2018, 2018. a
Sardain, A., Sardain, E., and Leung, B.: Global forecasts of shipping traffic
and biological invasions to 2050, Nat. Sustain., 2, 274–282,
https://doi.org/10.1038/s41893-019-0245-y, 2019. a
Schwarzenbach, R., Gschwend, P., and Imboden, D.: Environmental organic
chemistry, Wiley, New York, ISBN 978-0-471-83941-5, 1993. a
Seiter, K., Hensen, C., Schröter, J., and Zabel, M.: Organic carbon
content in surface sediments – Defining regional provinces, Deep-Sea
Res. Pt. I, 51, 2001–2026,
https://doi.org/10.1016/j.dsr.2004.06.014, 2004. a
Simonsen, M., Lind, O. C., Øyvind Saetra, Isachsen, P. E., Teien, H. C.,
Albretsen, J., and Salbu, B.: Coastal transport of river-discharged
radionuclides: Impact of speciation and transformation processes in numerical
model simulations, Sci. Total Environ., 669, 856–871,
https://doi.org/10.1016/J.SCITOTENV.2019.01.434, 2019a. a, b, c, d, e
Simonsen, M., Teien, H. C., Lind, O. C., Øyvind Saetra, Albretsen, J., and
Salbu, B.: Modeling key processes affecting Al speciation and transport in
estuaries, Sci. Total Environ., 687, 1147–1163,
https://doi.org/10.1016/J.SCITOTENV.2019.05.318, 2019b. a
Site, A. D.: Factors Affecting Sorption of Organic Compounds in Natural
Sorbent/Water Systems and Sorption Coefficients for Selected Pollutants. A
Review, J. Phys. Chem. Ref. Data, 30, 187–439,
https://doi.org/10.1063/1.1347984, 2001. a
Stokes, G. G.: On the effect of the internal friction of fluids on the motion
of pendulums, Transactions of the Cambridge Philosophical Society, 9, Part
ii, 8–106, 1851. a
Sundby, S.: A one-dimensional model for the vertical distribution of pelagic
fish eggs in the mixed layer, Deep-Sea Res. Pt. A, 30, 645–661,
https://doi.org/10.1016/0198-0149(83)90042-0, 1983. a
Szymczycha, B., Zaborska, A., Bełdowski, J., Kuliński, K.,
Beszczyńska-Möller, A., Kȩdra, M., and Pempkowiak, J.: The
Baltic Sea, in: World Seas: an Environmental Evaluation,
Elsevier, 85–111, https://doi.org/10.1016/B978-0-12-805068-2.00005-X, 2019. a
Testa, D.: A note on the potential designation of the mediterranean sea as a
sulphur emission control area, Mar. Policy, 121, 104145,
https://doi.org/10.1016/j.marpol.2020.104145, 2020. a
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. a
Turner, D. R., Hassellöv, I.-M., Ytreberg, E., and Rutgersson, A.:
Shipping and the environment: Smokestack emissions, scrubbers and
unregulated oceanic consequences, Elementa, 5, 45,
https://doi.org/10.1525/elementa.167, 2017. a
Turner, D. R., Edman, M., Gallego-Urrea, J. A., Claremar, B., Hassellöv,
I.-M., Omstedt, A., and Rutgersson, A.: The potential future contribution of
shipping to acidification of the Baltic Sea, Ambio, 47, 368–378,
https://doi.org/10.1007/s13280-017-0950-6, 2018. a
van Sebille, E., Griffies, S. M., Abernathey, R., Adams, T. P., Berloff, P.,
Biastoch, A., Blanke, B., Chassignet, E. P., Cheng, Y., Cotter, C. J.,
Deleersnijder, E., Döös, K., Drake, H. F., Drijfhout, S., Gary, S. F.,
Heemink, A. W., Kjellsson, J., Koszalka, I. M., Lange, M., Lique, C.,
MacGilchrist, G. A., Marsh, R., Mayorga Adame, C. G., McAdam, R., Nencioli,
F., Paris, C. B., Piggott, M. D., Polton, J. A., Rühs, S., Shah, S. H.,
Thomas, M. D., Wang, J., Wolfram, P. J., Zanna, L., and Zika, J. D.:
Lagrangian ocean analysis: Fundamentals and practices, Ocean Model., 121,
49–75, https://doi.org/10.1016/j.ocemod.2017.11.008, 2018. a
Vedachalam, S., Baquerizo, N., and Dalai, A. K.: Review on impacts of low
sulfur regulations on marine fuels and compliance options, Fuel, 310,
122243, https://doi.org/10.1016/j.fuel.2021.122243, 2022. a
Zhang, Y., Eastham, S. D., Lau, A. K., Fung, J. C., and Selin, N. E.: Global
air quality and health impacts of domestic and international shipping,
Environ. Res. Lett., 16, 084055, https://doi.org/10.1088/1748-9326/ac146b,
2021. a
Short summary
The newly developed ChemicalDrift model can simulate the transport and fate of chemicals in the ocean and in coastal regions. The model combines ocean physics, including transport due to currents, turbulence due to surface winds and the sinking of particles to the sea floor, with ocean chemistry, such as the partitioning, the degradation and the evaporation of chemicals. The model will be utilized for risk assessment of ocean and sea-floor contamination from pollutants emitted from shipping.
The newly developed ChemicalDrift model can simulate the transport and fate of chemicals in the...
