Articles | Volume 17, issue 14
https://doi.org/10.5194/gmd-17-5497-2024
© Author(s) 2024. 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-17-5497-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
23 Jul 2024
Development and technical paper |
| 23 Jul 2024
| 23 Jul 2024
Development of a novel storm surge inundation model framework for efficient prediction
Xuanxuan Gao
Key Laboratory of Ocean Observation and Forecasting, Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Shuiqing Li
CORRESPONDING AUTHOR
Key Laboratory of Ocean Observation and Forecasting, Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Ocean and Climate Dynamics, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Dongxue Mo
Key Laboratory of Ocean Observation and Forecasting, Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Ocean and Climate Dynamics, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Yahao Liu
Key Laboratory of Ocean Observation and Forecasting, Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Ocean and Climate Dynamics, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Po Hu
CORRESPONDING AUTHOR
Key Laboratory of Ocean Observation and Forecasting, Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Ocean and Climate Dynamics, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
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Ye Yuan, Fujiang Yu, Zhi Chen, Xueding Li, Fang Hou, Yuanyong Gao, Zhiyi Gao, and Renbo Pang
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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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Krysten Rutherford, Laura Bianucci, and William Floyd
EGUsphere, https://doi.org/10.5194/egusphere-2023-3064, https://doi.org/10.5194/egusphere-2023-3064, 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, B.C., 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.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-95, https://doi.org/10.5194/egusphere-2024-95, 2024
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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
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Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-237, https://doi.org/10.5194/gmd-2023-237, 2024
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Cara Nissen, Nicole S. Lovenduski, Mathew Maltrud, Alison R. Gray, Yohei Takano, Kristen Falcinelli, Jade Sauvé, and Katherine Smith
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Revised manuscript accepted for GMD
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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
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Luca Arpaia, Christian Ferrarin, Marco Bajo, and Georg Umgiesser
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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.
Jiangyu Li, Shaoqing Zhang, Qingxiang Liu, Xiaolin Yu, and Zhiwei Zhang
Geosci. Model Dev., 16, 6393–6412, https://doi.org/10.5194/gmd-16-6393-2023, https://doi.org/10.5194/gmd-16-6393-2023, 2023
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Ocean surface waves play an important role in the air–sea interface but are rarely activated in high-resolution Earth system simulations due to their expensive computational costs. To alleviate this situation, this paper designs a new wave modeling framework with a multiscale grid system. Evaluations of a series of numerical experiments show that it has good feasibility and applicability in the WAVEWATCH III model, WW3, and can achieve the goals of efficient and high-precision wave simulation.
Doroteaciro Iovino, Pier Giuseppe Fogli, and Simona Masina
Geosci. Model Dev., 16, 6127–6159, https://doi.org/10.5194/gmd-16-6127-2023, https://doi.org/10.5194/gmd-16-6127-2023, 2023
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This paper describes the model performance of three global ocean–sea ice configurations, from non-eddying (1°) to eddy-rich (1/16°) resolutions. Model simulations are obtained following the Ocean Model Intercomparison Project phase 2 (OMIP2) protocol. We compare key global climate variables across the three models and against observations, emphasizing the relative advantages and disadvantages of running forced ocean–sea ice models at higher resolution.
Johannes Röhrs, Yvonne Gusdal, Edel S. U. Rikardsen, Marina Durán Moro, Jostein Brændshøi, Nils Melsom Kristensen, Sindre Fritzner, Keguang Wang, Ann Kristin Sperrevik, Martina Idžanović, Thomas Lavergne, Jens Boldingh Debernard, and Kai H. Christensen
Geosci. Model Dev., 16, 5401–5426, https://doi.org/10.5194/gmd-16-5401-2023, https://doi.org/10.5194/gmd-16-5401-2023, 2023
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A model to predict ocean currents, temperature, and sea ice is presented, covering the Barents Sea and northern Norway. To quantify forecast uncertainties, the model calculates ensemble forecasts with 24 realizations of ocean and ice conditions. Observations from satellites, buoys, and ships are ingested by the model. The model forecasts are compared with observations, and we show that the ocean model has skill in predicting sea surface temperatures.
Jin-Song von Storch, Eileen Hertwig, Veit Lüschow, Nils Brüggemann, Helmuth Haak, Peter Korn, and Vikram Singh
Geosci. Model Dev., 16, 5179–5196, https://doi.org/10.5194/gmd-16-5179-2023, https://doi.org/10.5194/gmd-16-5179-2023, 2023
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The new ocean general circulation model ICON-O is developed for running experiments at kilometer scales and beyond. One targeted application is to simulate internal tides crucial for ocean mixing. To ensure their realism, which is difficult to assess, we evaluate the barotropic tides that generate internal tides. We show that ICON-O is able to realistically simulate the major aspects of the observed barotropic tides and discuss the aspects that impact the quality of the simulated tides.
Bror F. Jönsson, Christopher L. Follett, Jacob Bien, Stephanie Dutkiewicz, Sangwon Hyun, Gemma Kulk, Gael L. Forget, Christian Müller, Marie-Fanny Racault, Christopher N. Hill, Thomas Jackson, and Shubha Sathyendranath
Geosci. Model Dev., 16, 4639–4657, https://doi.org/10.5194/gmd-16-4639-2023, https://doi.org/10.5194/gmd-16-4639-2023, 2023
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While biogeochemical models and satellite-derived ocean color data provide unprecedented information, it is problematic to compare them. Here, we present a new approach based on comparing probability density distributions of model and satellite properties to assess model skills. We also introduce Earth mover's distances as a novel and powerful metric to quantify the misfit between models and observations. We find that how 3D chlorophyll fields are aggregated can be a significant source of error.
Rafael Santana, Helen Macdonald, Joanne O'Callaghan, Brian Powell, Sarah Wakes, and Sutara H. Suanda
Geosci. Model Dev., 16, 3675–3698, https://doi.org/10.5194/gmd-16-3675-2023, https://doi.org/10.5194/gmd-16-3675-2023, 2023
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We show the importance of assimilating subsurface temperature and velocity data in a model of the East Auckland Current. Assimilation of velocity increased the representation of large oceanic vortexes. Assimilation of temperature is needed to correctly simulate temperatures around 100 m depth, which is the most difficult region to simulate in ocean models. Our simulations showed improved results in comparison to the US Navy global model and highlight the importance of regional models.
David Byrne, Jeff Polton, Enda O'Dea, and Joanne Williams
Geosci. Model Dev., 16, 3749–3764, https://doi.org/10.5194/gmd-16-3749-2023, https://doi.org/10.5194/gmd-16-3749-2023, 2023
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Validation is a crucial step during the development of models for ocean simulation. The purpose of validation is to assess how accurate a model is. It is most commonly done by comparing output from a model to actual observations. In this paper, we introduce and demonstrate usage of the COAsT Python package to standardise the validation process for physical ocean models. We also discuss our five guiding principles for standardised validation.
Katherine Hutchinson, Julie Deshayes, Christian Éthé, Clément Rousset, Casimir de Lavergne, Martin Vancoppenolle, Nicolas C. Jourdain, and Pierre Mathiot
Geosci. Model Dev., 16, 3629–3650, https://doi.org/10.5194/gmd-16-3629-2023, https://doi.org/10.5194/gmd-16-3629-2023, 2023
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Bottom Water constitutes the lower half of the ocean’s overturning system and is primarily formed in the Weddell and Ross Sea in the Antarctic due to interactions between the atmosphere, ocean, sea ice and ice shelves. Here we use a global ocean 1° resolution model with explicit representation of the three large ice shelves important for the formation of the parent waters of Bottom Water. We find doing so reduces salt biases, improves water mass realism and gives realistic ice shelf melt rates.
Daniele Bianchi, Daniel McCoy, and Simon Yang
Geosci. Model Dev., 16, 3581–3609, https://doi.org/10.5194/gmd-16-3581-2023, https://doi.org/10.5194/gmd-16-3581-2023, 2023
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We present NitrOMZ, a new model of the oceanic nitrogen cycle that simulates chemical transformations within oxygen minimum zones (OMZs). We describe the model formulation and its implementation in a one-dimensional representation of the water column before evaluating its ability to reproduce observations in the eastern tropical South Pacific. We conclude by describing the model sensitivity to parameter choices and environmental factors and its application to nitrogen cycling in the ocean.
Rui Sun, Alison Cobb, Ana B. Villas Bôas, Sabique Langodan, Aneesh C. Subramanian, Matthew R. Mazloff, Bruce D. Cornuelle, Arthur J. Miller, Raju Pathak, and Ibrahim Hoteit
Geosci. Model Dev., 16, 3435–3458, https://doi.org/10.5194/gmd-16-3435-2023, https://doi.org/10.5194/gmd-16-3435-2023, 2023
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In this work, we integrated the WAVEWATCH III model into the regional coupled model SKRIPS. We then performed a case study using the newly implemented model to study Tropical Cyclone Mekunu, which occurred in the Arabian Sea. We found that the coupled model better simulates the cyclone than the uncoupled model, but the impact of waves on the cyclone is not significant. However, the waves change the sea surface temperature and mixed layer, especially in the cold waves produced due to the cyclone.
Pengcheng Wang and Natacha B. Bernier
Geosci. Model Dev., 16, 3335–3354, https://doi.org/10.5194/gmd-16-3335-2023, https://doi.org/10.5194/gmd-16-3335-2023, 2023
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Effects of sea ice are typically neglected in operational flood forecast systems. In this work, we capture these effects via the addition of a parameterized ice–ocean stress. The parameterization takes advantage of forecast fields from an advanced ice–ocean model and features a novel, consistent representation of the tidal relative ice–ocean velocity. The new parameterization leads to improved forecasts of tides and storm surges in polar regions. Associated physical processes are discussed.
Yue Xu and Xiping Yu
Geosci. Model Dev., 16, 2811–2831, https://doi.org/10.5194/gmd-16-2811-2023, https://doi.org/10.5194/gmd-16-2811-2023, 2023
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An accurate description of the wind energy input into ocean waves is crucial to ocean wave modeling, and a physics-based consideration of the effect of wave breaking is absolutely necessary to obtain such an accurate description, particularly under extreme conditions. This study evaluates the performance of a recently improved formula, taking into account not only the effect of breaking but also the effect of airflow separation on the leeside of steep wave crests in a reasonably consistent way.
Yankun Gong, Xueen Chen, Jiexin Xu, Jieshuo Xie, Zhiwu Chen, Yinghui He, and Shuqun Cai
Geosci. Model Dev., 16, 2851–2871, https://doi.org/10.5194/gmd-16-2851-2023, https://doi.org/10.5194/gmd-16-2851-2023, 2023
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Internal solitary waves (ISWs) play crucial roles in mass transport and ocean mixing in the northern South China Sea. Massive numerical investigations have been conducted in this region, but there was no systematic evaluation of a three-dimensional model about precisely simulating ISWs. Here, an ISW forecasting model is employed to evaluate the roles of resolution, tidal forcing and stratification in accurately reproducing wave properties via comparison to field and remote-sensing observations.
Johannes Bieser, David J. Amptmeijer, Ute Daewel, Joachim Kuss, Anne L. Soerensen, and Corinna Schrum
Geosci. Model Dev., 16, 2649–2688, https://doi.org/10.5194/gmd-16-2649-2023, https://doi.org/10.5194/gmd-16-2649-2023, 2023
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MERCY is a 3D model to study mercury (Hg) cycling in the ocean. Hg is a highly harmful pollutant regulated by the UN Minamata Convention on Mercury due to widespread human emissions. These emissions eventually reach the oceans, where Hg transforms into the even more toxic and bioaccumulative pollutant methylmercury. MERCY predicts the fate of Hg in the ocean and its buildup in the food chain. It is the first model to consider Hg accumulation in fish, a major source of Hg exposure for humans.
Y. Joseph Zhang, Tomas Fernandez-Montblanc, William Pringle, Hao-Cheng Yu, Linlin Cui, and Saeed Moghimi
Geosci. Model Dev., 16, 2565–2581, https://doi.org/10.5194/gmd-16-2565-2023, https://doi.org/10.5194/gmd-16-2565-2023, 2023
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Simulating global ocean from deep basins to coastal areas is a daunting task but is important for disaster mitigation efforts. We present a new 3D global ocean model on flexible mesh to study both tidal and nontidal processes and total water prediction. We demonstrate the potential for
seamlesssimulation, on a single mesh, from the global ocean to a few estuaries along the US West Coast. The model can serve as the backbone of a global tide surge and compound flooding forecasting framework.
Qi Shu, Qiang Wang, Chuncheng Guo, Zhenya Song, Shizhu Wang, Yan He, and Fangli Qiao
Geosci. Model Dev., 16, 2539–2563, https://doi.org/10.5194/gmd-16-2539-2023, https://doi.org/10.5194/gmd-16-2539-2023, 2023
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Ocean models are often used for scientific studies on the Arctic Ocean. Here the Arctic Ocean simulations by state-of-the-art global ocean–sea-ice models participating in the Ocean Model Intercomparison Project (OMIP) were evaluated. The simulations on Arctic Ocean hydrography, freshwater content, stratification, sea surface height, and gateway transports were assessed and the common biases were detected. The simulations forced by different atmospheric forcing were also evaluated.
Manuel Aghito, Loris Calgaro, Knut-Frode Dagestad, Christian Ferrarin, Antonio Marcomini, Øyvind Breivik, and Lars Robert Hole
Geosci. Model Dev., 16, 2477–2494, https://doi.org/10.5194/gmd-16-2477-2023, https://doi.org/10.5194/gmd-16-2477-2023, 2023
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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.
Nieves G. Valiente, Andrew Saulter, Breogan Gomez, Christopher Bunney, Jian-Guo Li, Tamzin Palmer, and Christine Pequignet
Geosci. Model Dev., 16, 2515–2538, https://doi.org/10.5194/gmd-16-2515-2023, https://doi.org/10.5194/gmd-16-2515-2023, 2023
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We document the Met Office operational global and regional wave models which provide wave forecasts up to 7 d ahead. Our models present coarser resolution offshore to higher resolution near the coastline. The increased resolution led to replication of the extremes but to some overestimation during modal conditions. If currents are included, wave directions and long period swells near the coast are significantly improved. New developments focus on the optimisation of the models with resolution.
Lucille Barré, Frédéric Diaz, Thibaut Wagener, Camille Mazoyer, Christophe Yohia, and Christel Pinazo
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-34, https://doi.org/10.5194/gmd-2023-34, 2023
Revised manuscript accepted for GMD
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Carbonate system is typically studied using measurements, yet modelling 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 their variations are strongly impacted by the hydrodynamic processes that affect the bay.
Maxime Beauchamp, Quentin Febvre, Hugo Georgenthum, and Ronan Fablet
Geosci. Model Dev., 16, 2119–2147, https://doi.org/10.5194/gmd-16-2119-2023, https://doi.org/10.5194/gmd-16-2119-2023, 2023
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4DVarNet is a learning-based method based on traditional data assimilation (DA). This new class of algorithms can be used to provide efficient reconstructions of a dynamical system based on single observations. We provide a 4DVarNet application to sea surface height reconstructions based on nadir and future Surface Water and Ocean and Topography data. It outperforms other methods, from optimal interpolation to sophisticated DA algorithms. This work is part of on-going AI Chair Oceanix projects.
Bin Xiao, Fangli Qiao, Qi Shu, Xunqiang Yin, Guansuo Wang, and Shihong Wang
Geosci. Model Dev., 16, 1755–1777, https://doi.org/10.5194/gmd-16-1755-2023, https://doi.org/10.5194/gmd-16-1755-2023, 2023
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A new global surface-wave–tide–circulation coupled ocean model (FIO-COM32) with a resolution of 1/32° × 1/32° is developed and validated. Both the promotion of the horizontal resolution and included physical processes are shown to be important contributors to the significant improvements in FIO-COM32 simulations. It is time to merge these separated model components (surface waves, tidal currents and ocean circulation) and start a new generation of ocean model development.
Jeff Polton, James Harle, Jason Holt, Anna Katavouta, Dale Partridge, Jenny Jardine, Sarah Wakelin, Julia Rulent, Anthony Wise, Katherine Hutchinson, David Byrne, Diego Bruciaferri, Enda O'Dea, Michela De Dominicis, Pierre Mathiot, Andrew Coward, Andrew Yool, Julien Palmiéri, Gennadi Lessin, Claudia Gabriela Mayorga-Adame, Valérie Le Guennec, Alex Arnold, and Clément Rousset
Geosci. Model Dev., 16, 1481–1510, https://doi.org/10.5194/gmd-16-1481-2023, https://doi.org/10.5194/gmd-16-1481-2023, 2023
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The aim is to increase the capacity of the modelling community to respond to societally important questions that require ocean modelling. The concept of reproducibility for regional ocean modelling is developed: advocating methods for reproducible workflows and standardised methods of assessment. Then, targeting the NEMO framework, we give practical advice and worked examples, highlighting key considerations that will the expedite development cycle and upskill the user community.
Nairita Pal, Kristin N. Barton, Mark R. Petersen, Steven R. Brus, Darren Engwirda, Brian K. Arbic, Andrew F. Roberts, Joannes J. Westerink, and Damrongsak Wirasaet
Geosci. Model Dev., 16, 1297–1314, https://doi.org/10.5194/gmd-16-1297-2023, https://doi.org/10.5194/gmd-16-1297-2023, 2023
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Understanding tides is essential to accurately predict ocean currents. Over the next several decades coastal processes such as flooding and erosion will be severely impacted due to climate change. Tides affect currents along the coastal regions the most. In this paper we show the results of implementing tides in a global ocean model known as MPAS–Ocean. We also show how Antarctic ice shelf cavities affect global tides. Our work points towards future research with tide–ice interactions.
Sébastien Petton, Valérie Garnier, Matthieu Caillaud, Laurent Debreu, and Franck Dumas
Geosci. Model Dev., 16, 1191–1211, https://doi.org/10.5194/gmd-16-1191-2023, https://doi.org/10.5194/gmd-16-1191-2023, 2023
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The nesting AGRIF library is implemented in the MARS3D hydrodynamic model, a semi-implicit, free-surface numerical model which uses a time scheme as an alternating-direction implicit (ADI) algorithm. Two applications at the regional and coastal scale are introduced. We compare the two-nesting approach to the classic offline one-way approach, based on an in situ dataset. This method is an efficient means to significantly improve the physical hydrodynamics and unravel ecological challenges.
Noam S. Vogt-Vincent and Helen L. Johnson
Geosci. Model Dev., 16, 1163–1178, https://doi.org/10.5194/gmd-16-1163-2023, https://doi.org/10.5194/gmd-16-1163-2023, 2023
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Ocean currents transport things over large distances across the ocean surface. Predicting this transport is key for tackling many environmental problems, such as marine plastic pollution and coral reef resilience. However, doing this requires a good understanding ocean currents, which is currently lacking. Here, we present and validate state-of-the-art simulations for surface currents in the southwestern Indian Ocean, which will support future marine dispersal studies across this region.
Cited articles
Akbar, M., Kanjanda, S., and Musinguzi, A.: Effect of Bottom Friction, Wind Drag Coefficient, and Meteorological Forcing in Hindcast of Hurricane Rita Storm Surge Using SWAN+ADCIRC Model, J. Mar. Sci. Eng., 5, 38, https://doi.org/10.3390/jmse5030038, 2017.
Bates, P. D., Dawson, R. J., Hall, J. W., Horritt, M. S., Nicholls, R. J., Wicks, J., and Ali Mohamed Hassan, M. A.: Simplified two-dimensional numerical modelling of coastal flooding and example applications, Coast. Eng., 52, 793–810, https://doi.org/10.1016/j.coastaleng.2005.06.001, 2005.
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling, J. Hydrol., 387, 33–45, https://doi.org/10.1016/j.jhydrol.2010.03.027, 2010.
Begmohammadi, A., Wirasaet, D., Silver, Z., Bolster, D., Kennedy, A. B., and Dietrich, J. C.: Subgrid surface connectivity for storm surge modeling, Adv. Water Resour., 153, 103939, https://doi.org/10.1016/j.advwatres.2021.103939, 2021.
Booij, N., Ris, R. C., and Holthuijsen, L. H.: A third-generation wave model for coastal regions: 1. Model description and validation, J. Geophys. Res.-Oceans, 104, 7649–7666, https://doi.org/10.1029/98JC02622, 1999.
Chen, C., Beardsley, R. C., Luettich, R. A., Westerink, J. J., Wang, H., Perrie, W., Xu, Q., Donahue, A. S., Qi, J., Lin, H., Zhao, L., Kerr, P. C., Meng, Y., and Toulany, B.: Extratropical storm inundation testbed: Intermodel comparisons in Scituate, Massachusetts: EXTRATROPICAL STORM INUNDATION TESTBED, J. Geophys. Res.-Oceans, 118, 5054–5073, https://doi.org/10.1002/jgrc.20397, 2013.
Chen, J., Ban, Y., and Li, S.: Open access to Earth land-cover map, Nature, 514, 434–434, https://doi.org/10.1038/514434c, 2014.
China Meteorological Administration: Tropical cyclone database [data set], https://tcdata.typhoon.org.cn (last access: 10 July 2023), 2020.
Chu, D., Zhang, J., Wu, Y., Jiao, X., and Qian, S.: Sensitivities of modelling storm surge to bottom friction, wind drag coefficient, and meteorological product in the East China Sea, Estuar. Coast. Shelf S., 231, 106460, https://doi.org/10.1016/j.ecss.2019.106460, 2019.
Computer Network Information Center, Chinese Academy of Sciences: GDEMV2 30M resolution digital elevation data, Geospatial Data Cloud site [data set], https://www.gscloud.cn/sources/accessdata/421?pid=302 (last access: 20 December 2020), 2015.
Deb, S., Xue, H., and Rao, S.: Saco-Casco Bays Inundation Modeling of Five Winter Storms, Journal of Shipping and Ocean Engineering, 11, 53–63, https://doi.org/10.17265/2159-5879/2021.02.001, 2021.
Dietrich, J. C., Zijlema, M., Westerink, J. J., Holthuijsen, L. H., Dawson, C., Luettich, R. A., Jensen, R. E., Smith, J. M., Stelling, G. S., and Stone, G. W.: Modeling hurricane waves and storm surge using integrally-coupled, scalable computations, Coast. Eng., 58, 45–65, https://doi.org/10.1016/j.coastaleng.2010.08.001, 2011.
Gao X.: HCA-FM code and instruction (Version v1), Zenodo [code], https://doi.org/10.5281/zenodo.10596826, 2024.
Gao, X., Li, S., Mo, D., Liu, Y., and Hu, P.: Data for HCA-FM Manuscript Submitted to GMD (Version v1), Zenodo [data set], https://doi.org/10.5281/zenodo.10596631, 2024.
Garratt, J. R.: Review of Drag Coefficients over Oceans and Continents, Mon. Weather Rev., 105, 915–929, https://doi.org/10.1175/1520-0493(1977)105<0915:RODCOO>2.0.CO;2, 1977.
GEBCO Bathymetric Compilation Group 2022: The GEBCO_2022 Grid – a continuous terrain model of the global oceans and land, NERC EDS British Oceanographic Data Centre NOC [data set], https://doi.org/10.5285/e0f0bb80-ab44-2739-e053-6c86abc0289c, 2022.
Hauer, M. E., Hardy, D., Kulp, S. A., Mueller, V., Wrathall, D. J., and Clark, P. U.: Assessing population exposure to coastal flooding due to sea level rise, Nat. Commun., 12, 6900, https://doi.org/10.1038/s41467-021-27260-1, 2021.
Horritt, M. S. and Bates, P. D.: Effects of spatial resolution on a raster based model of flood flow, J. Hydrol., 253, 239–249, https://doi.org/10.1016/S0022-1694(01)00490-5, 2001.
Hunter, N. M., Bates, P. D., Horritt, M. S., and Wilson, M. D.: Simple spatially-distributed models for predicting flood inundation: A review, Geomorphology, 90, 208–225, https://doi.org/10.1016/j.geomorph.2006.10.021, 2007.
Jamali, B., Löwe, R., Bach, P. M., Urich, C., Arnbjerg-Nielsen, K., and Deletic, A.: A rapid urban flood inundation and damage assessment model, J. Hydrol., 564, 1085–1098, https://doi.org/10.1016/j.jhydrol.2018.07.064, 2018.
Jamali, B., Bach, P. M., Cunningham, L., and Deletic, A.: A Cellular Automata Fast Flood Evaluation (CA-ffé) Model, Water Resour. Res., 55, 4936–4953, https://doi.org/10.1029/2018WR023679, 2019.
Kalyanapu, A. J., Shankar, S., Pardyjak, E. R., Judi, D. R., and Burian, S. J.: Assessment of GPU computational enhancement to a 2D flood model, Environ. Modell. Softw., 26, 1009–1016, https://doi.org/10.1016/j.envsoft.2011.02.014, 2011.
Kennedy, A. B., Wirasaet, D., Begmohammadi, A., Sherman, T., Bolster, D., and Dietrich, J. C.: Subgrid theory for storm surge modeling, Ocean Model., 144, 101491, https://doi.org/10.1016/j.ocemod.2019.101491, 2019.
Li, Z., Li, S., Hou, Y., Mo, D., Li, J., and Yin, B.: Typhoon-induced wind waves in the northern East China Sea during two typhoon events: the impact of wind field and wave-current interaction, J. Ocean. Limnol., 40, 934–949, https://doi.org/10.1007/s00343-021-1089-7, 2022.
Li, Z., Li, S., Hu, P., Feng, X., Mo, D., and Li, J.: Improving storm surge simulations by considering wave-steepness-dependent drag coefficient in the northern East China Sea, Ocean Model., 186, 102283, https://doi.org/10.1016/j.ocemod.2023.102283, 2023.
Liu, Z., Merwade, V., and Jafarzadegan, K.: Investigating the role of model structure and surface roughness in generating flood inundation extents using one- and two-dimensional hydraulic models, J. Flood Risk Manag., 12, e12347, https://doi.org/10.1111/jfr3.12347, 2019.
Lu, X., Yu, H., Ying, M., Zhao, B., Zhang, S., Lin, L., Bai, L., and Wan, R.: Western North Pacific Tropical Cyclone Database Created by the China Meteorological Administration, Adv. Atmos. Sci., 38, 690–699, https://doi.org/10.1007/s00376-020-0211-7, 2021.
Luettich, R. A. and Westerink, J. J.: Elemental Wetting and Drying in the ADCIRC Hydrodynamic Model: Upgrades and Documentation for ADCIRC Version 34.XX, Contractors Report, Department of the Army, US Army Corps of Engineers, Waterways Experiment Station, Vicksburg, MS., March 1999, 8 pp., https://adcirc.org/wp-content/uploads/sites/2255/2018/11/1999_Luettich01.pdf (last access: 21 September 2022), 1999.
Luettich, R. A., Westerink, J. J., and Scheffner N. W.: ADCIRC: an advanced three-dimensional circulation model for shelves coasts and estuaries, report 1: theory and methodology of ADCIRC-2DDI and ADCIRC-3DL, Dredging Research Program Technical Report DRP-92-6, U. S. Army Engineers Waterways Experiment Station, Vicksburg, MS, 137 pp., https://adcirc.org/wp-content/uploads/sites/2255/2018/11/1992_Luettich02.pdf (last access: 21 September 2022), 1992.
Machineni, N., Sinha, V. S. P., Singh, P., and Reddy, N. T.: The impact of distributed landuse information in hydrodynamic model application in storm surge inundation, Estuar. Coast. Shelf S., 231, 106466, https://doi.org/10.1016/j.ecss.2019.106466, 2019.
Manfreda, S. and Samela, C.: A digital elevation model based method for a rapid estimation of flood inundation depth, J. Flood Risk Manag., 12, e12541, https://doi.org/10.1111/jfr3.12541, 2019.
Mao, M. and Xia, M.: Dynamics of wave–current–surge interactions in Lake Michigan: A model comparison, Ocean Model., 110, 1–20, https://doi.org/10.1016/j.ocemod.2016.12.007, 2017.
Medeiros, S. C. and Hagen, S. C.: Review of wetting and drying algorithms for numerical tidal flow models: REVIEW OF WETTING AND DRYING ALGORITHMS FOR NUMERICAL TIDAL FLOW MODELS, Int. J. Numer. Meth. Fl., 71, 473–487, https://doi.org/10.1002/fld.3668, 2013.
Miura, Y., Mandli, K. T., and Deodatis, G.: High-Speed GIS-Based Simulation of Storm Surge–Induced Flooding Accounting for Sea Level Rise, Nat. Hazards Rev., 22, 04021018, https://doi.org/10.1061/(ASCE)NH.1527-6996.0000465, 2021.
Nakamura, R., Mäll, M., and Shibayama, T.: Street-scale storm surge load impact assessment using fine-resolution numerical modelling: a case study from Nemuro, Japan, Nat. Hazards, 99, 391–422, https://doi.org/10.1007/s11069-019-03746-6, 2019.
National Geomatics Center of China: GlobeLand30 global land cover data, National Catalogue Service For Geographic Information [data set], https://www.webmap.cn/mapDataAction.do?method=globalLandCover (last access: 2 June 2022), 2010.
Parizi, E., Khojeh, S., Hosseini, S. M., and Moghadam, Y. J.: Application of Unmanned Aerial Vehicle DEM in flood modeling and comparison with global DEMs: Case study of Atrak River Basin, Iran, J. Environ. Manage., 317, 115492, https://doi.org/10.1016/j.jenvman.2022.115492, 2022.
Roberts, K. J., Casey Dietrich, J., Wirasaet, D., Pringle, W. J., and Westerink, J. J.: Dynamic load balancing for predictions of storm surge and coastal flooding, Environ. Modell. Softw., 140, 105045, https://doi.org/10.1016/j.envsoft.2021.105045, 2021.
Saha, S., Moorthi, S., Pan, H., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., Liu, H., Stokes, D., Grumbine, R., Gayno, G., Wang, J., Hou, Y., Chuang, H., Juang, H. H., Sela, J., Iredell, M., Treadon, R., Kleist, D., Delst, P. V., Keyser, D., Derber, J., Ek, M., Meng, J., Wei, H., Yang, R., Lord, S., van den Dool, H., Kumar, A., Wang, W., Long, C., Chelliah, M., Xue, Y., Huang, B., Schemm, J., Ebisuzaki, W., Lin, R., Xie, P., Chen, M., Zhou, S., Higgins, W., Zou, C., Liu, Q., Chen, Y., Han, Y., Cucurull, L., Reynolds, R. W., Rutledge, G., and Goldberg, M.: NCEP Climate Forecast System Reanalysis (CFSR) Selected Hourly Time-Series Products, January 1979 to December 2010, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/D6513W89, 2010.
Saha, S., Moorthi, S., Wu, X., Wang, J., Nadiga, S., Tripp, P., Behringer, D., Hou, Y., Chuang, H., Iredell, M., Ek, M., Meng, J., Yang, R., Mendez, M. P., van den Dool, H., Zhang, Q., Wang, W., Chen, M., and Becker, E.: NCEP Climate Forecast System Version 2 (CFSv2) Selected Hourly Time-Series Products, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/D6N877VB, 2011.
Sanders, B. F., Schubert, J. E., and Detwiler, R. L.: ParBreZo: A parallel, unstructured grid, Godunov-type, shallow-water code for high-resolution flood inundation modeling at the regional scale, Adv. Water Resour., 33, 1456–1467, https://doi.org/10.1016/j.advwatres.2010.07.007, 2010.
Sehili, A., Lang, G., and Lippert, C.: High-resolution subgrid models: background, grid generation, and implementation, Ocean Dynam., 64, 519–535, https://doi.org/10.1007/s10236-014-0693-x, 2014.
Shi, S., Yang, B., and Jiang, W.: Numerical simulations of compound flooding caused by storm surge and heavy rain with the presence of urban drainage system, coastal dam and tide gates: A case study of Xiangshan, China, Coast. Eng., 172, 104064, https://doi.org/10.1016/j.coastaleng.2021.104064, 2022.
Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., and Kim, S.: Flood inundation modelling: A review of methods, recent advances and uncertainty analysis, Environ. Modell. Softw., 90, 201–216, https://doi.org/10.1016/j.envsoft.2017.01.006, 2017.
Tsubaki, R. and Kawahara, Y.: The uncertainty of local flow parameters during inundation flow over complex topographies with elevation errors, J. Hydrol., 486, 71–87, https://doi.org/10.1016/j.jhydrol.2013.01.042, 2013.
Vacondio, R., Dal Palù, A., Ferrari, A., Mignosa, P., Aureli, F., and Dazzi, S.: A non-uniform efficient grid type for GPU-parallel Shallow Water Equations models, Environ. Modell. Softw., 88, 119–137, https://doi.org/10.1016/j.envsoft.2016.11.012, 2017.
Volp, N. D., Van Prooijen, B. C., and Stelling, G. S.: A finite volume approach for shallow water flow accounting for high-resolution bathymetry and roughness data: Subgrid-Based Finite Volume Method, Water Resour. Res., 49, 4126–4135, https://doi.org/10.1002/wrcr.20324, 2013.
Wang, K., Hou, Y., Li, S., Du, M., and Li, R.: Numerical Study of Storm Surge Inundation in the Southwestern Hangzhou Bay Region During Typhoon Chan-Hom in 2015, J. Ocean U. China, 19, 263–271, https://doi.org/10.1007/s11802-020-4258-y, 2020.
Wang, N., Hou, Y., Mo, D., and Li, J.: Hazard assessment of storm surges and concomitant waves in Shandong Peninsula based on long-term numerical simulations, Ocean Coast. Manage., 213, 105888, https://doi.org/10.1016/j.ocecoaman.2021.105888, 2021.
Westerink, J. J., Blain C. A., Luettich R. A., and Scheffner N. W.: ADCIRC: an advanced three-dimensional circulation model for shelves coasts and estuaries, report 2: users manual for ADCIRC-2DDI, Dredging Research Program Technical Report DRP-92-6, U. S. Army Engineers Waterways Experiment Station, Vicksburg, MS., 156 pp., https://adcirc.org/wp-content/uploads/sites/2255/2018/11/1994_Westerink01.pdf (last access: 8 November 2022), 1994.
Wijaya, O. T. and Yang, T. H.: Combining two algorithms as a transition rules for CA-based inundation model, in: Proceedings of the 22nd IAHR APD, Saporo, Japan, 15–16 September 2020, https://www.researchgate.net/publication/343850058 (last access: 21 June 2022), 2020.
Wijaya, O. T. and Yang, T. H.: A Novel Hybrid Approach Based on Cellular Automata and a Digital Elevation Model for Rapid Flood Assessment, Water, 13, 1311, https://doi.org/10.3390/w13091311, 2021.
Wolfram, S.: Cellular automata as models of complexity, Nature, 311, 419–424, https://doi.org/10.1038/311419a0, 1984.
Woodruff, J. L., Dietrich, J. C., Wirasaet, D., Kennedy, A. B., Bolster, D., Silver, Z., Medlin, S. D., and Kolar, R. L.: Subgrid corrections in finite-element modeling of storm-driven coastal flooding, Ocean Model., 167, 101887, https://doi.org/10.1016/j.ocemod.2021.101887, 2021.
Ying, M., Zhang, W., Yu, H., Lu, X., Feng, J., Fan, Y., Zhu, Y., and Chen, D.: An Overview of the China Meteorological Administration Tropical Cyclone Database, J. Atmos. Ocean. Tech., 31, 287–301, https://doi.org/10.1175/JTECH-D-12-00119.1, 2014.
Short summary
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.
Storm surges generate coastal inundation and expose populations and properties to danger. We...
