Ocean Modelling最新文献_第2页

Enhancing model temperature estimations in shallow, turbid, coastal regions: Mobile Bay, Alabama 加强浅海、浑浊沿岸地区的模型温度估算：阿拉巴马州莫比尔湾

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-10-16 DOI: 10.1016/j.ocemod.2024.102455

Harikrishnan Sreeshylam , Zhilong Liu , Brian Dzwonkowski , John Lehrter

{"title":"Enhancing model temperature estimations in shallow, turbid, coastal regions: Mobile Bay, Alabama","authors":"Harikrishnan Sreeshylam , Zhilong Liu , Brian Dzwonkowski , John Lehrter","doi":"10.1016/j.ocemod.2024.102455","DOIUrl":"10.1016/j.ocemod.2024.102455","url":null,"abstract":"<div><div>Accurate estimation of water column temperature is vital for modeling physical and biogeochemical processes. A key process in the thermal dynamics of the upper ocean is the attenuation of solar radiation. In shallow-turbid coastal systems, spatially and temporally varying optical characteristics present challenges for commonly used attenuation parameterization schemes. This study investigates the dependency of temperature with a ROMS model of Mobile Bay, a shallow, turbid estuary, using six different attenuation approaches including three base cases: Conventional approach PS77 based on water type-9; Novel approach SAL relating in situ PAR attenuation to salinity; and Surface trapped irradiance method ST. In addition, these base cases are also tested with surface atmospheric heat flux correction (QC). Simulations were validated against observations from various sources to identify the optimal approach at annual and synoptic scales. While all simulations showed effective temperature performance over an annual cycle, monthly analysis revealed some seasonality, with winter months typically performing better than summer months. The influence of QC notably enhanced temperature performance in both annual and synoptic scales, given that surface heat flux primarily drove temperature changes in this shallow system. The best overall performance was determined to be the ST approach incorporating QC. Conversely, PS77 without QC demonstrated the poorest performance. The SAL model with QC, notably improved performance over PS77 with QC, yet demonstrated comparable yet weaker performance compared to the ST model with QC. The study also implies that neglecting subseasonal validation in long-term regional climate modeling could introduce uncertainty into analyzing events tied to subseasonal temperatures.</div></div>","PeriodicalId":19457,"journal":{"name":"Ocean Modelling","volume":"192 ","pages":"Article 102455"},"PeriodicalIF":3.1,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Total water level prediction at continental scale: Coastal ocean 大陆尺度的总水位预测：沿岸海洋

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-10-11 DOI: 10.1016/j.ocemod.2024.102451

Linlin Cui , Fei Ye , Y. Joseph Zhang , Haocheng Yu , Zhengui Wang , Saeed Moghimi , Gregory Seroka , Jack Riley , Shachak Pe'eri , Soroosh Mani , Edward Myers , Kyungmin Park , Liujuan Tang , Zizang Yang , Yan-Ming Wang

引用次数: 0

Variation of suspended-sediment caused by tidal asymmetry and wave effects 潮汐不对称和波浪效应引起的悬浮沉积物变化

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-10-10 DOI: 10.1016/j.ocemod.2024.102454

Jianbin Xie , Xingru Feng , Guandong Gao

{"title":"Variation of suspended-sediment caused by tidal asymmetry and wave effects","authors":"Jianbin Xie , Xingru Feng , Guandong Gao","doi":"10.1016/j.ocemod.2024.102454","DOIUrl":"10.1016/j.ocemod.2024.102454","url":null,"abstract":"<div><div>Suspended sediment plays an important role in coastal topography evolution and ecological environment change. To obtain a clear picture of the underlying mechanisms, we studied the response of suspended sediment dynamics to tidal current and wave-current interactions using the wave-current-sediment model of SCHISM. The results revealed evident tidal asymmetry in the study area, and showed that the suspended sediment concentration (SSC) markedly changes within a tidal cycle. We also disassembled the wave–current interactions to determine the contribution of each physical mechanism of the wave and hydrodynamic models. Regarding the importance of various effects of wave-current interactions on SSC, the wave-induced bottom shear stress and wave-induced radiation stress should be considered. The importance of advection in horizontal space is comparable to that of wave-induced bottom shear stress and wave-induced radiation stress, and is greater than that of the other types of wave energy advection. This study successfully explained all the mechanisms that influence the variation of SSC to the southwest of Hainan Island, which is helpful for coastal management and could provide a reference for other coastal areas.</div></div>","PeriodicalId":19457,"journal":{"name":"Ocean Modelling","volume":"192 ","pages":"Article 102454"},"PeriodicalIF":3.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A dynamically adaptive Langmuir turbulence parameterization scheme for variable wind wave conditions: Model application 针对多变风浪条件的动态自适应朗缪尔湍流参数化方案：模型应用

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-10-09 DOI: 10.1016/j.ocemod.2024.102453

Fangrui Xiu , Zengan Deng

{"title":"A dynamically adaptive Langmuir turbulence parameterization scheme for variable wind wave conditions: Model application","authors":"Fangrui Xiu , Zengan Deng","doi":"10.1016/j.ocemod.2024.102453","DOIUrl":"10.1016/j.ocemod.2024.102453","url":null,"abstract":"<div><div>Langmuir circulations and turbulence (LT) are crucial in the upper ocean mixed layer, significantly affecting the air-sea exchange of momentum, heat, and mass. The development of an appropriate LT parameterization scheme is vital for ocean modeling. This study employed the Large-eddy Simulation (LES) and the Physics-informed Neural Network (PINN) to optimize the KC04 Langmuir turbulence scheme by dynamically adjusting E<sub>6</sub> as a key parameter determined by winds and waves. The LES simulations under different wind wave states indicated the PINN-inferred values for E<sub>6</sub>. Modelling results from GOTM in OCSPapa station demonstrated that the optimized scheme outperformed the original KC04 scheme in simulating the vertical eddy diffusivity and temperature, with an ∼6.24% annual reduction in the root mean square error (RMSE) for the temperature and an ∼8.23% reduction in the RMSE during autumn. Furthermore, the optimized scheme resulted in a thicker mixed layer, reaching 4.9 m. This enhanced LT parameterization scheme exhibited the improved robustness for variable spatiotemporal resolutions, significantly improving the modeling accuracy.</div></div>","PeriodicalId":19457,"journal":{"name":"Ocean Modelling","volume":"192 ","pages":"Article 102453"},"PeriodicalIF":3.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving the accuracy of global ECMWF wave height forecasts with machine learning 利用机器学习提高 ECMWF 全球波高预报的准确性

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-10-09 DOI: 10.1016/j.ocemod.2024.102450

Shuyi Zhou , Jiuke Wang , Yuhan Cao , Brandon J. Bethel , Wenhong Xie , Guangjun Xu , Wenjin Sun , Yang Yu , Hongchun Zhang , Changming Dong

{"title":"Improving the accuracy of global ECMWF wave height forecasts with machine learning","authors":"Shuyi Zhou , Jiuke Wang , Yuhan Cao , Brandon J. Bethel , Wenhong Xie , Guangjun Xu , Wenjin Sun , Yang Yu , Hongchun Zhang , Changming Dong","doi":"10.1016/j.ocemod.2024.102450","DOIUrl":"10.1016/j.ocemod.2024.102450","url":null,"abstract":"<div><div>Significant wave height (SWH) stands as one of the most crucial parameters for maritime activities. However, even the SWH data from the widely utilized European Centre for Medium-Range Weather Forecast Integrated Forecasting System (ECMWF-IFS) carries errors and uncertainties. In this study, the Light Gradient Boosting Machine (LightGBM) is used to inference the global ECMWF-IFS SWH forecast biases. The results demonstrate that globally, the LightGBM reduces the root mean square error by 10–20 %. Particularly noteworthy is the enhanced forecast accuracy observed in the western Pacific during late summers. Furthermore, the corrected forecast results during Super Typhoon Lekima in 2019 showcase the capability of model to effectively enhance the forecast accuracy of typhoon-induced wind waves, even when four typhoons occur concurrently. This study establishes the feasibility of LightGBM in inferencing single-step SWH forecast bias and presents a cost-effective model for enhancing global wave forecasts.</div></div>","PeriodicalId":19457,"journal":{"name":"Ocean Modelling","volume":"192 ","pages":"Article 102450"},"PeriodicalIF":3.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contribution of high-mode near-inertial waves to enhanced typhoon-induced sea surface temperature cooling in the South China Sea 高模近惯性波对台风诱发的南海海面温度冷却增强的贡献

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-10-08 DOI: 10.1016/j.ocemod.2024.102452

Shukui Cheng , Anzhou Cao , Jinbao Song , Xinyu Guo

{"title":"Contribution of high-mode near-inertial waves to enhanced typhoon-induced sea surface temperature cooling in the South China Sea","authors":"Shukui Cheng , Anzhou Cao , Jinbao Song , Xinyu Guo","doi":"10.1016/j.ocemod.2024.102452","DOIUrl":"10.1016/j.ocemod.2024.102452","url":null,"abstract":"<div><div>Sea surface temperature cooling (SSTC) is an important indicator of the ocean response to typhoons and is a factor in the evolution of typhoons. Understanding the intricate mechanisms underlying the SSTC induced by different typhoons is important. Based on the numerical simulation, we investigated the SSTC induced by typhoons Megi (2010), Linfa (2015), and Sarika (2011), which had relatively similar tracks in the South China Sea. As the strongest (weakest) typhoon, Megi (Sarika) induced the largest (smallest) SSTC, which is consistent with the traditional understanding that stronger typhoons usually induce larger SSTC than weaker typhoons. However, the SSTC induced by the moderate typhoon Linfa was nearly comparable to that induced by Megi, while Linfa had a wind power input an order of magnitude smaller. A comparison of near-inertial waves (NIWs) induced by Linfa and Megi showed that the former contained a larger proportion of high modes, substantially contributing to vertical shear. Consequently, the vertical mixing coefficient during Linfa reached one third of that during Megi. Because the SSTC is primarily influenced by vertical mixing, which is dominated by vertical diffusion at the mixed layer depth, the relatively strong vertical mixing coefficient and large temperature gradient during Linfa ultimately resulted in the SSTC nearly comparable to that induced by Megi. The results of this study enhance the understanding of typhoon-induced SSTC.</div></div>","PeriodicalId":19457,"journal":{"name":"Ocean Modelling","volume":"192 ","pages":"Article 102452"},"PeriodicalIF":3.1,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142421565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling sediment movement in the shallow-water framework: A morpho-hydrodynamic approach with numerical simulations and experimental validation 浅水框架中的沉积物运动建模：通过数值模拟和实验验证的形态流体力学方法

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-10-05 DOI: 10.1016/j.ocemod.2024.102445

E. Guerrero Fernández , M.J. Castro Díaz , Y. Wei , C. Moore

引用次数: 0

Evaluation of wave-based parameterizations of air–sea CO2 gas transfer over global oceans 基于波浪的全球海洋海气二氧化碳气体转移参数评估

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-10-05 DOI: 10.1016/j.ocemod.2024.102446

Shuo Li , Alexander V. Babanin , Qingxiang Liu , Changlong Guan

引用次数: 0

An operational discontinuous Galerkin shallow water model for coastal flood assessment 用于沿海洪水评估的非连续伽勒金浅水操作模型

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-10-05 DOI: 10.1016/j.ocemod.2024.102447

A.G. Filippini , L. Arpaia , V. Perrier , R. Pedreros , P. Bonneton , D. Lannes , F. Marche , S. De Brye , S. Delmas , S. Lecacheux , F. Boulahya , M. Ricchiuto

{"title":"An operational discontinuous Galerkin shallow water model for coastal flood assessment","authors":"A.G. Filippini , L. Arpaia , V. Perrier , R. Pedreros , P. Bonneton , D. Lannes , F. Marche , S. De Brye , S. Delmas , S. Lecacheux , F. Boulahya , M. Ricchiuto","doi":"10.1016/j.ocemod.2024.102447","DOIUrl":"10.1016/j.ocemod.2024.102447","url":null,"abstract":"<div><div>Hydrodynamic modeling for coastal flooding risk assessment is a highly relevant topic. Many operational tools available for this purpose use numerical techniques and implementation paradigms that reach their limits when confronted with modern requirements in terms of resolution and performances. In this work, we present a novel operational tool for coastal hazards predictions, currently employed by the BRGM agency (the French Geological Survey) to carry out its flooding hazard exposure studies and coastal risk prevention plans on International and French territories. The model, called UHAINA (wave in the Basque language), is based on an arbitrary high-order discontinuous Galerkin discretization of the nonlinear shallow water equations with SSP Runge–Kutta time stepping on unstructured triangular grids. It is built upon the finite element library AeroSol, which provides a modern C++ software architecture and high scalability, making it suitable for HPC applications. The paper provides a detailed development of the mathematical and numerical framework of the model, focusing on two key-ingredients : (i) a pragmatic <span><math><msup><mrow><mi>P</mi></mrow><mrow><mn>0</mn></mrow></msup></math></span> treatment of the solution in partially dry cells which guarantees efficiently well-balancedness, positivity and mass conservation at any polynomial order; (ii) an artificial viscosity method based on the physical dissipation of the system of equations providing nonlinear stability for non-smooth solutions. A set of numerical validations on academic benchmarks is performed to highlight the efficiency of these approaches. Finally, UHAINA is applied on a real operational case of study, demonstrating very satisfactory results.</div></div>","PeriodicalId":19457,"journal":{"name":"Ocean Modelling","volume":"192 ","pages":"Article 102447"},"PeriodicalIF":3.1,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical investigation of coastal profile evolution under effect of submerged flexible vegetation by XBeach wave model XBeach 波浪模型对水下柔性植被影响下海岸剖面演变的数值研究

IF 3.1 3区地球科学

Ocean Modelling Pub Date : 2024-09-25 DOI: 10.1016/j.ocemod.2024.102441

Yiran Wang, Kai Yin, Sudong Xu, Shangpeng Gong, Mingxuan Li

{"title":"Numerical investigation of coastal profile evolution under effect of submerged flexible vegetation by XBeach wave model","authors":"Yiran Wang, Kai Yin, Sudong Xu, Shangpeng Gong, Mingxuan Li","doi":"10.1016/j.ocemod.2024.102441","DOIUrl":"10.1016/j.ocemod.2024.102441","url":null,"abstract":"<div><div>Vegetation communities distributed in coastal zones and offshore wetlands are important compositions for sand stabilization and stability of the ecosystem. This paper studies the impact of flexible vegetation on beach profile evolution by constructing an XBeach numerical model. Firstly, the mathematical model of flexible vegetation beach is established based on the generalized vegetation parameters. The XBeach numerical model is validated by the wave flume experiment to prove that a semi-empirical equation of flexible vegetation drag coefficient is valid in beach profile evolution. Then, the numerical model is used to study the beach profile evolution with flexible vegetation under different wave parameters and summarize the corresponding laws. Finally, the differences between flexible and rigid vegetation on beach evolution are compared. Results show that the beach profile evolution roughly increased with the increase of wave parameters. The Starting Point of Evolution in beach shifts offshore and the evolution range gradually broadens as the wave height or period increases. In addition, the flexible vegetation beach shows greater evolution than rigid vegetation beach and the Starting Point of Evolution also tends to be more offshore, particularly under conditions of long periods and large wave heights. This study can provide references for beach protection and ecological restoration in coastal areas.</div></div>","PeriodicalId":19457,"journal":{"name":"Ocean Modelling","volume":"192 ","pages":"Article 102441"},"PeriodicalIF":3.1,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0