Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-4959-2020
© Author(s) 2020. 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-13-4959-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
19 Oct 2020
Model experiment description paper |
| 19 Oct 2020
| 19 Oct 2020
Introducing LAB60: A 1∕60° NEMO 3.6 numerical simulation of the Labrador Sea
Clark Pennelly
CORRESPONDING AUTHOR
Earth Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
Paul G. Myers
Earth Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
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Earth Syst. Sci. Data, 16, 2165–2195, https://doi.org/10.5194/essd-16-2165-2024, https://doi.org/10.5194/essd-16-2165-2024, 2024
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Improved mapping of surficial seabed sediment organic carbon is vital for best-practice marine management. Here, using systematic data review, data unification process and machine learning techniques, the first national predictive maps were produced for Canada at 200 m resolution. We show fine-scale spatial variation of organic carbon across the continental margin and estimate the total standing stock in the top 30 cm of the sediment to be 10.9 Gt.
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Glaciers in the high-latitude Northern Hemisphere (outside Greenland) are losing mass at roughly half the Greenland ice sheet's rate. Still, this is usually not included in the freshwater input data for ocean circulation models. Also, the submarine melt of glaciers (outside the ice sheets) has not been quantified yet. We tackle both issues by using a glacier model's output as additional fresh water for the ocean model and by using the ocean model's output to model submarine melt.
Tyler Pelle, Paul G. Myers, Andrew Hamilton, Matthew Mazloff, Krista Soderlund, Lucas Beem, Donald D. Blankenship, Cyril Grima, Feras Habbal, Mark Skidmore, and Jamin S. Greenbaum
EGUsphere, https://doi.org/10.5194/egusphere-2024-3751, https://doi.org/10.5194/egusphere-2024-3751, 2024
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Here, we develop and run a high resolution ocean model of Jones Sound from 2003–2016 and characterize circulation into, out of, and within the sound as well as associated sea ice and productivity cycles. Atmospheric and ocean warming drive sea ice decline, which enhance biological productivity due to the increased light availability. These results highlight the utility of high resolution models in simulating complex waterways and the need for sustained oceanographic measurements in the sound.
Graham Epstein, Susanna D. Fuller, Dipti Hingmire, Paul G. Myers, Angelica Peña, Clark Pennelly, and Julia K. Baum
Earth Syst. Sci. Data, 16, 2165–2195, https://doi.org/10.5194/essd-16-2165-2024, https://doi.org/10.5194/essd-16-2165-2024, 2024
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Improved mapping of surficial seabed sediment organic carbon is vital for best-practice marine management. Here, using systematic data review, data unification process and machine learning techniques, the first national predictive maps were produced for Canada at 200 m resolution. We show fine-scale spatial variation of organic carbon across the continental margin and estimate the total standing stock in the top 30 cm of the sediment to be 10.9 Gt.
Laura C. Gillard, Xianmin Hu, Paul G. Myers, Mads Hvid Ribergaard, and Craig M. Lee
The Cryosphere, 14, 2729–2753, https://doi.org/10.5194/tc-14-2729-2020, https://doi.org/10.5194/tc-14-2729-2020, 2020
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Greenland's glaciers in contact with the ocean drain the majority of the ice sheet (GrIS). Deep troughs along the shelf branch into fjords, connecting glaciers with ocean waters. The heat from the ocean entering deep troughs may then accelerate the mass loss. Onshore heat transport through troughs was investigated with an ocean model. Processes that drive the delivery of ocean heat respond differently by region to increasing GrIS meltwater, mean circulation, and filtering out of storms.
Hakase Hayashida, James R. Christian, Amber M. Holdsworth, Xianmin Hu, Adam H. Monahan, Eric Mortenson, Paul G. Myers, Olivier G. J. Riche, Tessa Sou, and Nadja S. Steiner
Geosci. Model Dev., 12, 1965–1990, https://doi.org/10.5194/gmd-12-1965-2019, https://doi.org/10.5194/gmd-12-1965-2019, 2019
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Ice algae, the primary producer in sea ice, play a fundamental role in shaping marine ecosystems and biogeochemical cycling of key elements in polar regions. In this study, we developed a process-based numerical model component representing sea-ice biogeochemistry for a sea ice–ocean coupled general circulation model. The model developed can be used to simulate the projected changes in sea-ice ecosystems and biogeochemistry in response to on-going rapid decline of the Arctic.
Xianmin Hu, Jingfan Sun, Ting On Chan, and Paul G. Myers
The Cryosphere, 12, 1233–1247, https://doi.org/10.5194/tc-12-1233-2018, https://doi.org/10.5194/tc-12-1233-2018, 2018
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We evaluated the sea ice thickness simulation in the Canadian Arctic Archipelago region using 1/4 and 1/12 degree NEMO LIM2 configurations. Model resolution dose not play a significant role. Relatively smaller thermodynamic contribution in the winter season is found in the thick ice covered areas, with larger contributions in the thin ice covered regions. No significant trend in winter maximum ice volume is found in the northern CAA and Baffin Bay but a decline is simulated within Parry Channel.
Jacoba Mol, Helmuth Thomas, Paul G. Myers, Xianmin Hu, and Alfonso Mucci
Biogeosciences, 15, 1011–1027, https://doi.org/10.5194/bg-15-1011-2018, https://doi.org/10.5194/bg-15-1011-2018, 2018
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In the fall of 2014, the upwelling of water from the deep Canada Basin brought water onto the shallower Mackenzie Shelf in the Beaufort Sea. This increased the concentration of CO2 in water on the shelf, which alters pH and changes the transfer of CO2 between the ocean and atmosphere. These findings were a combined result of water sampling for CO2 parameters and the use of a computer model that simulates water movement in the ocean.
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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
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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.
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.
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.
Renbo Pang, Fujiang Yu, Yuanyong Gao, Ye Yuan, Liang Yuan, and Zhiyi Gao
EGUsphere, https://doi.org/10.5194/egusphere-2024-2515, https://doi.org/10.5194/egusphere-2024-2515, 2024
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The application of the distributed graph communication topology in earth models has been rarely studied. We tested and compared this topology with the traditional point-to-point communication method using a global wave model. We found that this topology is more efficient. Additionally, using this topology can greatly improve the performance of the wave model and could help improve the performance of other earth models.
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.
Iria Sala and Bingzhang Chen
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-130, https://doi.org/10.5194/gmd-2024-130, 2024
Revised manuscript accepted for GMD
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Phytoplankton, tiny photosynthetic organisms, produce nearly half of Earth's oxygen. To analyze their physiology, diversity, and evolution in the ocean, we developed a model that treats phytoplankton as individual particles. Moreover, our model considers phytoplankton size, temperature, and light traits, and allows for mutations in phytoplankton cells. Thus, our model provides a valuable tool for advancing the study of phytoplankton physiology, diversity, and evolution.
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.
Ali Abdolali, Saeideh Banihashemi, Jose Henrique Alves, Aron Roland, Tyler J. Hesser, Mary Anderson Bryant, and Jane McKee Smith
Geosci. Model Dev., 17, 1023–1039, https://doi.org/10.5194/gmd-17-1023-2024, https://doi.org/10.5194/gmd-17-1023-2024, 2024
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This article presents an overview of the development and implementation of Great Lake Wave Unstructured (GLWUv2.0), including the core model and workflow design and development. The validation was conducted against in situ data for the re-forecasted duration for summer and wintertime (ice season). The article describes the limitations and challenges encountered in the operational environment and the path forward for the next generation of wave forecast systems in enclosed basins like the GL.
Qiang Wang, Qi Shu, Alexandra Bozec, Eric P. Chassignet, Pier Giuseppe Fogli, Baylor Fox-Kemper, Andy McC. Hogg, Doroteaciro Iovino, Andrew E. Kiss, Nikolay Koldunov, Julien Le Sommer, Yiwen Li, Pengfei Lin, Hailong Liu, Igor Polyakov, Patrick Scholz, Dmitry Sidorenko, Shizhu Wang, and Xiaobiao Xu
Geosci. Model Dev., 17, 347–379, https://doi.org/10.5194/gmd-17-347-2024, https://doi.org/10.5194/gmd-17-347-2024, 2024
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Increasing resolution improves model skills in simulating the Arctic Ocean, but other factors such as parameterizations and numerics are at least of the same importance for obtaining reliable simulations.
Andrew C. Ross, Charles A. Stock, Alistair Adcroft, Enrique Curchitser, Robert Hallberg, Matthew J. Harrison, Katherine Hedstrom, Niki Zadeh, Michael Alexander, Wenhao Chen, Elizabeth J. Drenkard, Hubert du Pontavice, Raphael Dussin, Fabian Gomez, Jasmin G. John, Dujuan Kang, Diane Lavoie, Laure Resplandy, Alizée Roobaert, Vincent Saba, Sang-Ik Shin, Samantha Siedlecki, and James Simkins
Geosci. Model Dev., 16, 6943–6985, https://doi.org/10.5194/gmd-16-6943-2023, https://doi.org/10.5194/gmd-16-6943-2023, 2023
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We evaluate a model for northwest Atlantic Ocean dynamics and biogeochemistry that balances high resolution with computational economy by building on the new regional features in the MOM6 ocean model and COBALT biogeochemical model. We test the model's ability to simulate impactful historical variability and find that the model simulates the mean state and variability of most features well, which suggests the model can provide information to inform living-marine-resource applications.
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.
Lucille Barré, Frédéric Diaz, Thibaut Wagener, France Van Wambeke, Camille Mazoyer, Christophe Yohia, and Christel Pinazo
Geosci. Model Dev., 16, 6701–6739, https://doi.org/10.5194/gmd-16-6701-2023, https://doi.org/10.5194/gmd-16-6701-2023, 2023
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While several studies have shown that mixotrophs play a crucial role in the carbon cycle, the impact of environmental forcings on their dynamics remains poorly investigated. Using a biogeochemical model that considers mixotrophs, we study the impact of light and nutrient concentration on the ecosystem composition in a highly dynamic Mediterranean coastal area: the Bay of Marseille. We show that mixotrophs cope better with oligotrophic conditions compared to strict auto- and heterotrophs.
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.
Cited articles
Amante, C. and Eakins, B. W.:
ETOPO1 1 Arc-minute global relief model: procedures data sources and analysis. NOAA Technical Memorandum NESDIS, NGDC-24 19,
National Oceananic and Atmospheric Administration, Boulder Colorado, USA, 2009.
Bamber, J., van den Broeke, M., Ettema, J., Lenaerts, J., and Rignot, E.:
Recent large increases in freshwater fluxes from Greenland into the North Atlantic,
Geophys. Res. Lett.,
39, 19, https://doi.org/10.1029/2012GL052552, 2012.
Barnier, B., Madec, G., Penduff, T., Molines, J-M., Treguier, A-M., Le Sommer, J., Beckmann, A., Biastoch, A., Böning, C., Dengg, J., Derval, C., Durand, E., Gulev, S., Remy, R., Talandier, C., Theetten, S., Maltrud, M., Mcclean, J., and De Cuevas, B.:
Impact of partial steps and momentum advection schemes in a global ocean circulation model at eddy permitting resolution,
Ocean Dynam.,
56, 543–567, 2006.
Böning, C. W., Behrens, E., Biastoch, A., Getzlaff, K., and Bamber, J. L.:
Emerging impact of Greenland meltwater on deepwater formation in the North Atlantic Ocean,
Nat. Geosci.,
97, 523–528, https://doi.org/10.1038/ngeo2740, 2016.
Bryden, H. L., Longworth, H. R., and Cunningham, S. A.:
Slowing of the Atlantic meridional overturning circulation at 25∘ N,
Nature,
438, 655–657, https://doi.org/10.1038/nature04385, 2005.
Cael, B. B. and Jansen, M. F.:
On freshwater fluxes and the Atlantic meridional overturning circulation, Limnol. Oceanogr.,
5, 185–192, 2020.
Chanut, J., Barnier, B., Large, W., Debreu, L., Penduff, T., Molines, J. M., and Mathiot, P.:
Mesoscale eddies in the Labrador Sea and their contribution to convection and restratification,
J. Phys. Oceanogr.,
28, 1617–1643, 2008.
Chassignet, E. P. and Xu, X.:
Impact of horizontal resolution (1∕12 to 1∕50) on Gulf Stream separation, penetration, and variability,
J. Phys. Oceanogr.,
47, 1999–2021, 2017.
Courtois, P., Hu, X., Pennelly, C., Spence, P., and Myers, P. G.:
Mixed layer depth calculation in deep convection regions in ocean numerical models,
Ocean Model.,
120, 60–78, 2017.
Cuny, J., Rhines, P. B., and Kwok, R.:
Davis Strait volume, freshwater and heat fluxes,
Deep-Sea Res. Pt. I,
52.3, 519–542, 2005.
Curry, B., Lee, C. M., and Petrie, B.:
Volume, freshwater, and heat fluxes through Davis Strait, 2004–05,
J. Phys. Oceanogr.,
41, 429–436, 2011.
Curry, B., Lee, C. M., Petrie, B., Moritz, R. E., and Kwok, R.:
Multiyear volume, liquid freshwater, and sea ice transports through Davis Strait, 2004–10,
J. Phys. Oceanogr.,
44, 1244–1266, 2014.
Dai, A., Qian, T., Trenberth, K. E., and Milliman, J. D.:
Changes in continental freshwater discharge from 1948 to 2004,
J. Climate,
22, 2773–2792, 2009.
Debreu, L., Vouland, C., and Blayo, E.:
AGRIF: Adaptive grid refinement in Fortran,
Comput. Geosci.,
34, 8–13, 2008.
De Jong, M. F., Bower, A. S., and Furey, H. H.: Seasonal and interannual variations of Irminger Ring formation and boundary-interior heat exchange, J. Phys. Oceanogr., 46, 1717–1734, 2016.
De Steur, L., Hansen, E., Gerdes, R., Karcher, M., Fahrbach, E., and Holfort, J.:
Freshwater fluxes in the East Greenland Current: A decade of observations,
Geophys. Res. Lett.,
36, 23, https://doi.org/10.1029/2009GL041278, 2009.
Dussin, R., Barnier, B., and Brodeau, L.:
The making of Drakkar forcing set DFS5,
LGGE, Grenoble, France, 2016.
Ferry, N., Parent, L., Garric, G., Barnier, B., and Jourdain, N. C.:
Mercator global eddy permitting ocean reanalysis GLORYS1V1: Description and results,
Mercator – Ocean Quarterly Newsletter,
36, 15–27, 2010.
Fichefet, T. and Maqueda, M. A. M.:
Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics,
J. Geophys. Res.-Oceans,
102, 12609–12646, 1997.
Fischer, J., Visbek, M., Zantopp, R., and Nunes, N.:
Interannual to decadal variability of outflow from the Labrador Sea,
Geophys. Res. Lett.,
37, 24, https://doi.org/10.1029/2010GL045321, 2010.
Frajka-Williams, E., Rhines, P. B., and Eriksen, C. C.:
Horizontal stratification during deep convection in the Labrador Sea,
J. Phys. Oceanogr.,
44, 220–228, 2014.
Fratantoni, P. S. and Pickart, R. S.:
The Western North Atlantic Shelfbreak Current System in Summer,
J. Phys. Oceanogr.,
37, 2509–2533, 2007.
Fresnay, S., Ponte, A. L., Le Gentil, S., and Le Sommer, J.:
Reconstruction of the 3-D dynamics from surface variable in a high-resolution simulation of the North Atlantic,
J. Geophys. Res.-Oceans,
123, 1612–1630, 2018.
Garcia-Quintana, Y., Courtois, P., Hu, X., Pennelly, C., Kieke, D., and Myers, P. G.:
Sensitivity of Labrador Sea Water formation to changes in model resolution, atmospheric forcing, and freshwater input,
J. Geophys. Res.-Oceans,
124, 2126–2152, 2019.
Gelderloos, R., Katsman, C. A., and Drijfhout, S. S.:
Assessing the roles of three eddy types in restratifying the Labrador Sea after deep convection,
J. Phys. Oceanogr.,
41, 2102–2119, 2011.
Hátún, H., Eriksen, C. C., and Rhines, P. B.:
Buoyant eddies entering the Labrador Sea observed with gliders and altimetry,
J. Phys. Oceanogr.,
37, 2838–2854, 2007.
Holte, J. and Talley, L.:
A new algorithm for finding mixed layer depths with applications to Argo data and Subantarctic Mode Water formation,
J. Atmos. Ocean. Tech.,
26, 1920–1939, 2009.
Kieke, D., Rhein, M., Stramma, L., Smethie, W., LeBel, D. A., and Zenk, W.: Changes in the CFC inventories and formation rates of Upper Labrador Sea Water, 1997–2001, J. Phys. Oceanogr., 36, 64–86, 2006.
Kieke, D., Klein, B., Stramma, L., Rhein, M., and Koltermann, K. P.:
Variability and propagation of Labrador Sea Water in the southern subpolar North Atlantic,
Deep-Sea Res. Pt. I,
56, 1656–1674, 2009.
Lab Sea Group:
The Labrador Sea deep convection experiment,
B. Am. Meteorol. Soc.,
79, 2033–2058, 1998.
Large, W. G. and Yeager, S. G.:
The global climatology of an interannually varying air-sea flux data set,
Clim. Dynam.,
33, 341–364, 2008.
Latif, M., Roechner, E., Mikolajewicz, U., and Voss, R.:
Tropical stabilization of the thermohaline circulation in a greenhouse warming simulation,
J. Climate,
13, 1809–1813, 2000.
Lazier, J. R. N. and Wright, D. G.:
Annual velocity variations in the Labrador Current,
J. Phys. Oceanogr.,
23, 659–678, 1993.
Lilly, J. M., Rhines, P. B., Visbeck, M., Davis, R., Lazier, J. R. N., Schott, F., and Farmer, D.:
Observing deep convection in the Labrador Sea during winter 1994/95,
J. Phys. Oceanogr.,
29, 2065–2098, 1999.
Lilly, J. M., Rhines, P. B., Schott, F., Lavender, K., Lazier, J., Send, U., and D'Asaro, E.:
Observations of the Labrador Sea eddy field,
Prog. Oceanogr.,
59, 75–176, 2003.
Lin, P., Pickart, R. S., Torres, D. J., and Pacini, A.:
Evolution of the freshwater coastal current at the southern tip of Greenland,
J. Phys. Oceanogr.,
48, 2127–2140. 2018.
Madec, G.:
Note du Pôle de modélisation,
Institut Pierre-Simon Laplace (IPSL), France, No 27, ISSN No 1288–1619, 2008.
Marshall, J. and Schott, F.:
Open-ocean convection: Observations, theory, and models,
Rev. Geophys.,
37, 1–64, 1999.
Marzocchi, A., Hurshi, J. J. M., Holiday, N. P., Cunningham, S. A., Blaker, A. T., and Coward, A. C.:
The North Atlantic subpolar circulation in an eddy-resolving global ocean model,
J. Marine Syst.,
142, 126–143, 2015.
McGeehan, I. and Maslowski, W.:
Impact of shelf-basin freshwater transport on deep convection in the western Labrador Sea,
J. Phys. Oceanogr.,
41, 2187–2210, 2011.
Müller, V., Kieke, D., Myers, P. G., Pennelly, C., and Mertens, C.:
Temperature flux carried by individual eddies across 47∘ in the Atlantic Ocean,
J. Geophys. Res.-Oceans,
122, 2441–2464, 2017.
Müller, V., Kieke, D., Myers, P. G., Pennelly, C., Steinfeldt, R., and Stendardo, I.:
Heat and freshwater transport by mesoscale eddies in the southern subpolar North Atlantic,
J. Geophys. Res.-Oceans,
124, 5565–5585, 2019.
Myers, P.:
Impact of freshwater from the Canadian Arctic Archipelago on Labrador Sea water formation,
Geophys. Res. Lett.,
32, 6, https://doi.org/10.1029/2004GL022082, 2005.
Myers, P. G., Josey, S. A., Wheler, B., and Kulan, N.: Interdecadal variability in Labrador Sea precipitation minus evaporation and salinity, Prog. Oceanogr., 73, 341–357, 2007.
Pennelly, C.:
A 1∕60 degree NEMO configuration within the Labrador Sea: LAB60,
Zenodo,
https://doi.org/10.5281/zenodo.3762748, 2020.
Pennelly, C. and Myers, P. G.: Relative vorticity of the LAB60 ocean sea-ice simulation: 2004-2013, ERA, https://doi.org/10.7939/r3-2yts-nw62, 2020a.
Pennelly, C. and Myers, P. G.: Stratification strength of the LAB60 ocean sea-ice simulation: 2004-2013, ERA, https://doi.org/10.7939/r3-nen0-g831, 2020b.
Pennelly, C. and Myers, P. G.: Mixed layer depth of the LAB60 ocean sea-ice simulation: 2004-2013, ERA, https://doi.org/10.7939/r3-m6rk-h867, 2020c.
Pennelly, C. and Myers, P. G.: Greenland runoff tracer of the LAB60 ocean sea-ice simulation: 2004-2013, ERA, https://doi.org/10.7939/r3-43mg-db88, 2020d.
Pennelly, C. and Myers, P. G.: Irminger Water tracer of the LAB60 ocean sea-ice simulation: 2004-2013, ERA, https://doi.org/10.7939/r3-zwkr-0w35, 2020e.
Pennelly, C. and Myers, P. G.: Labrador Sea Water tracer of the LAB60 ocean sea-ice simulation: 2004-2013, ERA, https://doi.org/10.7939/r3-7295-ks15, 2020f.
Pennelly, C. Hu, X., and Myers, P. G.:
Cross-isobath freshwater exchange within the North Atlantic Subpolar Gyre,
J. Geophys. Res.-Oceans,
124, 6831–6853, 2019.
Rattan, S., Myers, P. G., Treguier, A. M., Theetten, S., Biastoch, A., and Böning, C.:
Towards an understanding of Labrador Sea salinity drift in eddy-permitting simulations,
Ocean Model.,
35, 77–88, 2010.
Rieck, J. K., Böning, C. W., and Getzlaff, K.:
The nature of eddy kinetic energy in the Labrador Sea: Different types of mesoscale eddies, their temporal variability, and impact on deep convection,
J. Phys. Oceanogr.,
49, 2075–2094, 2019.
Schmidt, S. and Send, U.:
Origin and composition of seasonal Labrador Sea freshwater,
J. Phys. Oceanogr.,
37, 1445–1454, 2007.
Schulze, L. M., Pickart, R. S., and Moore, G. W. K.:
Atmospheric forcing during active convection in the Labrador Sea and its impact on mixed-layer-depths,
J. Geophys. Res.-Oceans,
121, 6978–6992, 2016.
Smith, G. C., Roy, F., Mann, P., Dupont, F., Brasnett, B., Lemieux, J. F., Laroche, S., and Bélair, S.:
A new atmospheric dataset for forcing ice-ocean models: Evaluation of reforecasts using the Canadian global deterministic prediction system,
Q. J. Roy. Meteor. Soc.,
140, 881–894, 2014.
Straneo, F.:
Heat and freshwater transport through the central Labrador Sea,
J. Phys. Oceanogr.,
36, 606–628, 2006.
Straneo, F. and Saucier, F.:
The arctic-subarctic exchange through Hudson Strait. Arctic-Subarctic Ocean Fluxes,
Springer, Dordrecht, 249–261, 2008.
Su, Z., Wang, J., Klein, P., Thompson, A. F., and Menemenlis, D.:
Ocean submesoscales as a key component of the global heat budget,
Nat. Commun.,
9, 1–8, 2018.
Tréquier, A. M., Theetten, S., Chassignet, E. P., Penduff, T., Smith, R., Talley, L., Beismann, J. O., and Böning, C.:
The North Atlantic subpolar gyre in four high-resolution models,
J. Phys. Oceanogr.,
35, 757–774, 2005.
Yashayaev, I.:
Hydrographic changes in the Labrador Sea, 1960–2005,
Prog. Oceanogr.,
73, 242–276, 2007.
Yashayaev, I. and Loder, J. W.:
Recurrent replenishment of Labrador Sea Water and associated decadal-scale variability,
J. Geophys. Res.-Oceans,
121, 8095–8814, 2016.
Zalesak, S. T.:
Fully multidimensional flux-corrected transport algorithms for fluids,
J. Comput. Phys.,
31, 335–362, 1979.
Short summary
A high-resolution ocean simulation was carried out within the Labrador Sea, a region that low-resolution climate simulations may misrepresent. We show that small-scale eddies and their associated transport are better resolved at higher resolution than at lower resolution. These eddies transport important properties to the interior of the Labrador Sea, impacting the stratification and reducing the convection extent so that it is far more accurate when compared to what observations suggest.
A high-resolution ocean simulation was carried out within the Labrador Sea, a region that...
