Dynamics of Atmospheres and Oceans最新文献_第4页

Various approximations of mathematical models of planetary internal gravity waves in the f-plane approximation f平面近似中行星内部重力波数学模型的各种近似

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-10-15 DOI: 10.1016/j.dynatmoce.2025.101604

Robert G. Zakinyan, Andrey V. Chernyshov, Arthur R. Zakinyan

The paper proposes a mathematical model describing the propagation of internal inertial-gravity waves (IIGWs) in a stratified atmosphere. The necessity to propose a novel mathematical model stems from the fact that, as shown in the paper, the temperature disturbance field in the existing mathematical models depicting internal gravity waves (IGWs) in the incompressible fluid and anelastic gas approximations is not consistent with the temperature disturbance field derived from the heat conduction equation. In these models, the temperature field is obtained from the diagnostic Boussinesq relation, which states a direct proportionality between the density disturbance (or potential temperature disturbance) and the temperature disturbance. The temperature field in the compressible fluid approximation is consistent, yet it also describes the acoustic spectrum. In this paper, we propose a mathematical model describing the IIGWs in the compressible fluid approximation. In this model, the temperature field is consistent with the heat conduction equation, and the acoustic spectrum is absent. The paper also proposes a general mathematical model for the propagation of IIGWs in a baroclinic atmosphere. This model differs from the compressible fluid approximation in that the state of an air parcel is described not by the adiabatic equation, but by the Mendeleev–Clapeyron equation.

本文提出了一个描述内部惯性重力波（IIGWs）在分层大气中传播的数学模型。提出一种新的数学模型的必要性在于，如本文所示，现有的描述不可压缩流体和非弹性气体近似中的内重力波的数学模型中的温度扰动场与由热传导方程导出的温度扰动场不一致。在这些模型中，温度场由诊断Boussinesq关系获得，该关系表明密度扰动（或势温扰动）与温度扰动成正比关系。可压缩流体近似中的温度场是一致的，但它也描述了声谱。在本文中，我们提出了一个在可压缩流体近似中描述iigw的数学模型。在该模型中，温度场与热传导方程一致，声谱缺失。本文还提出了斜压大气中iigw传播的一般数学模型。这个模型与可压缩流体近似的不同之处在于，空气包的状态不是由绝热方程描述的，而是由门捷列夫-克拉珀龙方程描述的。

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引用次数: 0

Assessment of precipitation reanalysis product ERA5 on summer extreme precipitation in the Yellow River Basin 降水再分析产品ERA5对黄河流域夏季极端降水的评价

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-10-15 DOI: 10.1016/j.dynatmoce.2025.101603

Guangyu Lan, Yun Liang, Yucheng Ma

Based on the rain gauge-based gridded precipitation data from the CN05.1 dataset, the applicability of ERA5 in representing summer extreme precipitation in the Yellow River Basin (YRB) was evaluated from three aspects: climatology, deterministic and probabilistic assessment, and the spatiotemporal characteristics of the leading modes. The results showed that the ERA5 reanalysis demonstrates capability in capturing climatological characteristics of precipitation and extreme precipitation over the YRB, albeit with intensified climatological means and standard deviations, coupled with opposing linear trends. In terms of interannual variability, its precipitation estimates demonstrate notably higher accuracy in the recent decade compared to earlier periods. Deterministic evaluation reveals superior representation of general precipitation compared to intense precipitation. Probabilistic assessments indicate that uncertainties predominantly originate from the upper and northern middle reaches of the YRB, accompanied by systematic biases in probabilistic estimations of increased extreme precipitation amounts and decreased extreme precipitation days. While ERA5 successfully reproduces spatial patterns of the first two dominant modes of precipitation and extreme precipitation across the YRB, it amplifies anomalous signals. ERA5 accurately simulates interannual cycles associated with the first mode, but introduces spurious decadal signals in the second mode's temporal evolution.

基于CN05.1雨量计格点降水资料，从气候学、确定性和概率评估以及主要模态的时空特征三个方面，对ERA5表征黄河流域夏季极端降水的适用性进行了评价。结果表明，ERA5再分析具有较强的气候平均值和标准差，并伴有相反的线性趋势，但能较好地捕捉到青藏高原降水和极端降水的气候特征。就年际变率而言，其降水估计在最近十年中显示出与早期相比显著更高的准确性。确定性评价表明一般降水比强降水具有更好的代表性。概率评估表明，不确定性主要来自长江三角洲中上游和中北部，在极端降水量增加和极端降水日数减少的概率估计中存在系统偏差。虽然ERA5成功地再现了YRB前两种主要降水模态和极端降水模态的空间格局，但它放大了异常信号。ERA5准确地模拟了与第一模态相关的年际周期，但在第二模态的时间演变中引入了伪年代际信号。

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引用次数: 0

Moisture build-up and thermodynamic processes in precipitation regimes during the southwest monsoon over a tropical coastal region 热带沿海地区西南季风降水过程中的水汽积累和热力过程

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-10-14 DOI: 10.1016/j.dynatmoce.2025.101601

Anusha Andrews , E.A. Resmi , R.K. Sumesh , Sneha Sunil , A.R. Aswini , Nita Sukumar , Sumit Kumar , A. Sabarinath , Tejavath Charan Teja , Dharmadas Jash

The thermodynamical and microphysical characteristics of precipitation systems in shallow, Bright Band (BB), and Non-Bright Band (NBB) categories over a coastal site in Thiruvananthapuram, India were investigated. Radar reflectivity and fall velocity profiles, and surface rain rates were utilized to categorize the precipitation systems in June-July 2022. Shallow and NBB events exhibit a significant increase in humidity within the 4–8 km layer around 10–20 min prior to the onset of precipitation. In contrast, BB events maintain a deeper humid layer extending from the surface up to 8 km, with high liquid water content observed at least 30 min before precipitation, supporting widespread precipitation over the coastal region. In both NBB and shallow events, a sharp increase in liquid water path, integrated water vapor, and convective available potential energy (CAPE) occurred ∼10 min before rainfall onset. The substantially higher magnitudes of moisture and instability parameters in NBB systems indicate convective development, while the relatively lower values in shallow systems reflect weak instability and limited vertical growth, resulting in short-lived, low-intensity precipitation. BB systems maintained elevated and steady moisture with minimal variation in CAPE, supporting prolonged stratiform rain. The study shows that shallow systems are primarily influenced by low-level moisture, whereas BB and NBB systems rely on deeper mid- and upper-tropospheric moisture to sustain precipitation. CAPE influences rain rates and raindrop size distributions, with NBB events pronounced response, marked by intense rainfall and broader drop spectra.

研究了印度Thiruvananthapuram沿海站点浅层、明亮带（BB）和非明亮带（NBB）降水系统的热力和微物理特征。利用雷达反射率、下降速度剖面和地表降雨率对2022年6 - 7月的降水系统进行了分类。在降水开始前10-20 min左右，浅层和NBB事件在4-8 km层内表现出显著的湿度增加。相比之下，BB事件维持了从地表延伸至8 km的较深湿润层，在降水前至少30 min观测到高液态水含量，支持沿海地区的广泛降水。在NBB和浅层事件中，液态水路径、综合水汽和对流有效势能（CAPE）在降雨开始前约10 min急剧增加。NBB系统中较高的水汽和不稳定参数值表明对流发展，而浅层系统中相对较低的数值反映了较弱的不稳定和有限的垂直增长，导致短时、低强度降水。BB系统在CAPE变化极小的情况下保持了较高和稳定的湿度，支持了长时间的层状雨。研究表明，浅层系统主要受低层水汽的影响，而BB和NBB系统则依赖较深的对流层中高层水汽来维持降水。CAPE影响降雨率和雨滴大小分布，NBB事件响应明显，降雨强度大，雨滴光谱宽。

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引用次数: 0

Soret and Dufour effects of Bingham plastic fluid flow over a solar radiative heat flux 太阳辐射热通量上Bingham塑性流体流动的Soret和Dufour效应

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-09-19 DOI: 10.1016/j.dynatmoce.2025.101600

Mair Khan , T. Salahuddin , Muhammad Awais , Basem Al Awan , Muyassar Norberdiyeva , Nidhal Ben Khedher

The main concern of current study is the analysis of entropy generation impact on incompressible boundary layer flow near an inclined rough rotating disk by assuming flow characteristic of Bingham plastic material. Variable fluid properties and radiative heat flux are considered under the entropy generation. We presented the solutions for fluid, heat and mass transfer phenomenon that causes large effect on Bingham plastic model. The similarity variables, first initiated by Von-Kàrmàn for viscous fluid is used for Bingham fluid which effectively converted boundary layer equations into ordinary differential equations. The RK-five approach, in conjunction with Cash and Karp, is used to get numerical solutions to the resulting equations. Next utilising the production data, the entropy data are explored by using theoretical and numerical approaches. Tables and figures are used to display the numerical results. The results reveals that the Bingham number reduces the base flow radial velocity and intensify the azimuthal velocity. The thermal and solutal Grashof numbers rises the both the azimuthal velocity. The increment in temperature distribution is observed due to radiation parameter and thermal conductivity coefficient. The augmentation in concentration region is observed due to thermal diffusion coefficient and Soret number. We concluded that numerical results calculated here show perfect description of Bingham fluid, mass and heat transfer features based on Soret and Dufour influence near an inclined rotating disk. Entropy generation increases with increase in the values of

α_{1}

parameter, Bingham fluid plastic paramter

B n

, radiation

R_{d}

parameter and

ξ

parameter.

本文主要研究的是假设宾汉姆塑性材料的流动特性，分析熵生对倾斜粗糙旋转盘附近不可压缩边界层流动的影响。在熵产生条件下，考虑了变流体性质和辐射热通量。提出了对Bingham塑性模型影响较大的流体、传热和传质现象的解法。首先由Von-Kàrmàn在粘性流体中提出的相似变量用于Bingham流体，有效地将边界层方程转化为常微分方程。rk - 5方法与Cash和Karp相结合，用于得到所得方程的数值解。其次，利用生产数据，利用理论和数值方法探索熵数据。表格和图表用于显示数值结果。结果表明，宾厄姆数降低了基流径向速度，增强了基流的方位速度。热格拉西夫数和溶质格拉西夫数均随方位角速度的增大而增大。由于辐射参数和导热系数的影响，温度分布发生了变化。由于热扩散系数和索雷特数的影响，在浓度区出现了增大。计算结果较好地描述了倾斜旋转圆盘附近基于Soret和Dufour影响的Bingham流体、质量和传热特征。熵产随着α1参数、Bingham流塑性参数Bn、辐射Rd参数和ξ参数值的增大而增大。

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引用次数: 0

Poiseuille flow of Jeffrey fluid with variable transport properties in porous media under magnetic and radiative effects 磁辐射作用下具有可变输运性质的Jeffrey流体在多孔介质中的泊泽维尔流动

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-09-13 DOI: 10.1016/j.dynatmoce.2025.101599

Mubbashar Nazeer , Ali B.M. Ali , Farooq Hussain , N. Beemkumar , Khayrilla Kurbonov , Vatsal Jain , M. Ijaz Khan , Nidhal Ben Khedher

Objective

The aim of this study is to analyze the momentum and heat transfer characteristics within a porous medium influenced by thermal radiation, slip boundary conditions, and temperature-dependent viscosity and thermal conductivity.

Problem statement

The Poiseuille flow of MHD Jeffrey fluid through the horizontal infinite slippery walls filled by porous medium is discussed in this theoretical analysis under the contribution of variably viscosity and thermal conductivity along viscous dissipation and thermal radiation effects.

Methodology

The problem is simplified into ordinary differential equations through the dimensionless numbers and parameters. The resultant boundary values problem is solved by using the numerical technique (shooting method based on Runge-Kutta method) to regulate the velocity and temperature profiles. The graphs of velocity and temperature are drawn against the dimensionless parameters and numbers under the acceptable range.

Outcomes

The outcome of the study reveals that the temperature dependent viscosity improves the flow phenomena and thermal profile, but variable thermal conductivity declines the profile of temperature. The velocity slip upgrades the velocity distribution and thermal sip enhances the temperature field. The velocity and thermal profile of Jeffrey fluid is superior to the Newtonian fluid under the impact of each dimensionless parameter and numbers.

Applications

The results offer valuable insights for applications that demand effective thermal regulation and accurate fluid flow control, enhancing their relevance to both engineering and biomedical fields.

Originality/value

Earlier research has not presented a comparative investigation of Newtonian and non-Newtonian fluid flows through porous media, considering the combined influences of a uniform magnetic field, thermal radiation, slip boundary conditions, and temperature-dependent viscosity and thermal conductivity. This study is undertaken to address this identified gap in literature.

本研究的目的是分析受热辐射、滑移边界条件和温度相关粘度和导热系数影响的多孔介质内的动量和传热特性。在变黏度和变导热系数的作用下，沿黏性耗散和热辐射效应，讨论了MHD Jeffrey流体在含多孔介质的水平无限光滑壁面中的泊泽维尔流动。方法通过无量纲数和参数将问题简化为常微分方程。利用数值技术（基于龙格-库塔法的射击法）调节速度和温度分布，解决了所得边值问题。在可接受范围内，根据无量纲参数和数字绘制速度和温度的曲线图。研究结果表明，温度相关的粘度改善了流动现象和热分布，但变热导率降低了温度分布。速度滑移使速度分布升级，热滑移使温度场增强。在各无量纲参数和数值的影响下，杰弗里流体的速度和热剖面优于牛顿流体。这些结果为需要有效的热调节和精确的流体流动控制的应用提供了有价值的见解，增强了它们与工程和生物医学领域的相关性。早期的研究并没有对牛顿流体和非牛顿流体在多孔介质中的流动进行比较研究，考虑到均匀磁场、热辐射、滑移边界条件以及温度依赖性粘度和导热性的综合影响。本研究旨在解决这一文献空白。

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引用次数: 0

An optimized network model for sea level height prediction integrating OLSDBO and BiTCN-BiGRU 结合OLSDBO和BiTCN-BiGRU的海平面高度预测网络模型优化

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-09-07 DOI: 10.1016/j.dynatmoce.2025.101598

Huan Wu , Shijian Zhou , Fengwei Wang , Tieding Lu , Xiao Li

Reliable sea level predictions are essential for ensuring the sustainability and ecological protection of coastal areas. An adaptive deep learning sea level height prediction hybrid model based on the improved dung beetle optimizer (OLSDBO), bidirectional temporal convolutional network (BiTCN), and bidirectional gated recurrent unit (BiGRU) is proposed in this paper. Initially, we optimize the BiTCN-BiGRU hyperparameters via OLSDBO. Sea level data are fed into the BiTCN, where bidirectional temporal convolutions with dilated causal layers and residual connections extract hidden information. Next, the extracted features are passed into the BiGRU to learn the dynamic changes in both directions, thereby capturing the temporal dependencies within the sequence. Finally, the optimal model prediction results are obtained. The model was evaluated via Australian tide gauge data and compared with nine relevant models. The experimental results show that the OLSDBO-BiTCN-BiGRU outperforms the comparison models, indicating its strong modeling capabilities. To address the randomness in neural network initialization, statistical comparisons were conducted with ten random seeds, confirming robustness. When applied to satellite altimetry data from the East China Sea, the model indicated a 3.28 ± 0.26 mm/a rise (1993–2023), corroborating the official bulletins. This study introduces a novel framework and practical pathway for regional sea level prediction, offering practical value for coastal management and climate adaptation strategies.

可靠的海平面预测对于确保沿海地区的可持续性和生态保护至关重要。提出了一种基于改进屎壳虫优化器（OLSDBO）、双向时间卷积网络（BiTCN）和双向门控循环单元（BiGRU）的自适应深度学习海平面高度预测混合模型。最初，我们通过OLSDBO优化BiTCN-BiGRU超参数。海平面数据被输入BiTCN，在BiTCN中，具有扩展因果层和残差连接的双向时间卷积提取隐藏信息。然后，将提取的特征传递给BiGRU学习两个方向的动态变化，从而捕获序列内的时间依赖关系。最后，得到了最优的模型预测结果。该模型通过澳大利亚潮汐计数据进行了评估，并与9个相关模型进行了比较。实验结果表明，olsbo - bitcn - bigru模型优于对比模型，表明其具有较强的建模能力。为了解决神经网络初始化的随机性，对10个随机种子进行了统计比较，证实了鲁棒性。当应用于东海卫星测高数据时，该模型显示出3.28 ± 0.26 mm/a的上升（1993-2023），证实了官方公报。本研究为区域海平面预测提供了一个新的框架和实用途径，为沿海管理和气候适应策略提供了实用价值。

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引用次数: 0

Compounded influence of extreme coastal water level and subsidence on coastal flooding from satellite showcased at Saint-Louis (Senegal, West Africa) 在圣路易斯（西非塞内加尔）展示的卫星数据显示，极端沿海水位和下沉对沿海洪水的复合影响

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-09-06 DOI: 10.1016/j.dynatmoce.2025.101597

Cheikh Omar Tidjani Cissé , Anoumou Rene Tano , Emmanuel.K. Brempong , Adelaïde Taveneau , Rafael Almar , Donatus B. Angnuureng , Boubou Aldiouma Sy

In the face of rising in sea level due to climate change, the occurrence of extreme events such as storms is increasingly affecting coastal areas, particularly low-lying coasts. Knowledge of these phenomena is an important factor in mitigating the risk of coastal flooding and protecting coastal communities. The main objective of this study is to contribute to the understanding of the joint effect of changes in coastal extreme events and topographic subsidence on coastal flooding in Saint-Louis. As part of this process, we have quantified total water levels at the coast by using the regional sea level variation, ocean tide, surge, wind sea and swell waves data over the 1996–2021 period. All these datasets have been analyzed by Mann-Kendall statistical trend, the synthetic aperture radar (InSAR) interferometry technique, and the ‘zero side rule’ bathtub model. The results reveal a monotonic trend in total water levels on the Langue de Barbarie with the order of 0.049 m/yr the topographic subsidence varies from −6.4 to −0.4 mm/year. The spatialization of the flood wave reveals that the three spatial entities of Saint-Louis are extremely vulnerable to coastal flooding, but the extension of the flood wave is unevenly distributed at spatial scale. A comparison between the trend in maximum subsidence (-6.4 m/yr) and that in extreme mean water levels (0.049 m/yr) shows that the maximum trend in subsidence represents 13.06 % of the maximum trend in extreme coastal water level. This study enabled us to understand the influence of subsidence on flooding in Saint-Louis.

面对气候变化导致的海平面上升，风暴等极端事件的发生越来越多地影响到沿海地区，特别是低洼沿海地区。了解这些现象是减轻沿海洪水风险和保护沿海社区的一个重要因素。本研究的主要目的是有助于了解沿海极端事件变化和地形沉降对圣路易斯沿海洪水的共同影响。作为这一过程的一部分，我们利用1996-2021年期间的区域海平面变化、海潮、浪涌、风海和涌浪数据，量化了海岸的总水位。采用Mann-Kendall统计趋势、InSAR干涉测量技术和“零边规则”浴盆模型对这些数据进行了分析。结果表明，在巴伯里湖总水位为0.049 m/年的单调趋势下，地形沉降在−6.4 ~−0.4 mm/年之间变化。洪波的空间化表明，圣路易三个空间实体极易受到沿海洪水的影响，但洪波的延伸在空间尺度上分布不均匀。最大沉降趋势（-6.4 m/yr）与极端平均水位趋势（0.049 m/yr）的对比表明，最大沉降趋势占沿海极端水位最大趋势的13.06 %。这项研究使我们能够了解下沉对圣路易斯洪水的影响。

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引用次数: 0

Interannual rainfall variability in Northeast Brazil influenced by Pacific and Atlantic climate modes 太平洋和大西洋气候模式对巴西东北部年际降水变异的影响

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-09-06 DOI: 10.1016/j.dynatmoce.2025.101596

Evelin Landin Vitorio , Thiago Silva , Isabelle Vilela , Edvânia Santos , Doris Veleda

Northeast Brazil (NEB) is a climatically diverse region that includes semi-arid zones highly vulnerable to droughts and coastal areas frequently affected by extreme rainfall and flooding. These extremes pose significant challenges to water security, agriculture, and infrastructure. Effective climate forecasting in NEB requires a comprehensive understanding of multi-basin interactions, as they play a pivotal role in shaping regional precipitation patterns. Monitoring the simultaneous influences of both the Pacific and Atlantic climate indices is crucial for improving prediction accuracy, given the complex and interconnected nature of ocean-atmosphere dynamics that affect the region. This study investigates 75 years (1948–2022) of Pacific and Atlantic climate modes and their impact on NEB precipitation. Composite analyses were conducted using the 25th and 75th percentiles of sea surface temperature (SST) anomalies to define the warm and cold phases of each climate index. The results show distinct rainfall patterns across the NEB, with delayed responses to different oceanic indices. In Northern NEB (NNEB), the positive phases of Atlantic Meridional Mode (AMM) and El Niño-Southern Oscillation (ENSO) reduce rainfall, while the South Atlantic Ocean Dipole (SAOD) and Tropical South Atlantic (TSA) increase it. In Northern Eastern NEB (ENEBn), the positive phases of the AMM and Niño 1 + 2 decrease rainfall, while the South Atlantic Warm Pool (SAWP) enhances it. Simultaneous influences of the Pacific and Atlantic indices are associated with intense precipitation or drought events.

巴西东北部（NEB）是一个气候多样化的地区，包括极易受到干旱影响的半干旱地区和经常受到极端降雨和洪水影响的沿海地区。这些极端天气对水安全、农业和基础设施构成了重大挑战。在东北地区进行有效的气候预报需要对多流域相互作用有全面的了解，因为它们在形成区域降水模式方面起着关键作用。考虑到影响该区域的海洋-大气动力学的复杂性和相互关联性，监测太平洋和大西洋气候指数的同时影响对提高预测精度至关重要。本文研究了太平洋和大西洋的75年（1948-2022）气候模式及其对东北地区降水的影响。利用海表温度（SST）异常的第25和75百分位进行复合分析，确定了各气候指数的暖相和冷相。结果表明，整个东北地区的降雨模式不同，对不同的海洋指数有延迟响应。在北东太平洋（NNEB），大西洋经向模态（AMM）和厄尔尼诺Niño-Southern涛动（ENSO）的正相位减少了降水，而南大西洋偶极子（SAOD）和热带南大西洋（TSA）增加了降水。东北东北地区（ENEBn） AMM和Niño 1 + 2正相减少降水，而南大西洋暖池（SAWP）增强降水。太平洋和大西洋指数的同时影响与强降水或干旱事件有关。

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引用次数: 0

Long waves propagating at the interface between an inviscid subsonic gas and an Oldroyd-B liquid flowing down an oblique substrate 在无粘性亚音速气体和沿斜基底向下流动的Oldroyd-B液体之间的界面上传播的长波

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-08-14 DOI: 10.1016/j.dynatmoce.2025.101587

Ahmed Assaf , Sameh A. Alkharashi

The present problem investigated the dynamics of a fine layer for Oldroyd-B liquid moving down an inclined plate subject to a subsonic gas. Solitons propagating at such an interface were investigated to enhance the work novelty. The technique of thin film was employed to get an evolution relation that prescribes such an interface shape along time increase. The treatment based on linear theory was employed. The stability might be enhanced by means of increasing gas thickness and surface tension or decreasing the perturbation coefficient of gas. The viscosity ratio, Reynolds number, and relaxation time had a dual impact. The presence of moving solitons was illustrated under certain conditions for such a film. The nonlinear expectations could be more precision to prescribe the instability compared to the linear one. The present results did give an acceptable practical implementation of potential applications besides facilitating the way to precise numerical simulation.

本问题研究了在亚音速气体作用下，Oldroyd-B液体沿倾斜板向下运动的细层动力学。为了提高工作的新颖性，研究了在这种界面上传播的孤子。利用薄膜技术得到了这种界面形状随时间增加的演化关系。采用基于线性理论的处理方法。通过增加气体的厚度和表面张力或减小气体的微扰系数可以提高其稳定性。黏度比、雷诺数和弛豫时间具有双重影响。运动孤子的存在是在这种电影的特定条件下说明的。与线性期望相比，非线性期望能更精确地描述不稳定性。本文的结果除了为精确的数值模拟提供了途径外，还为潜在的应用提供了可接受的实际实现。

引用次数: 0

The method of single points wave spectrum generation for regional sea based on multimodal model in the Bohai sea, China 基于多模态模式的渤海区域海域单点波浪谱生成方法

IF 2 4区地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS

Dynamics of Atmospheres and Oceans

Pub Date : 2025-08-07 DOI: 10.1016/j.dynatmoce.2025.101586

Xiandong Cao , Mingli Zuo , Xianbin Wang , Zhifeng Wang , Yuze Niu , Ping Wang , Yunqi Lv

Wave spectra provide comprehensive information on ocean waves, including frequency and direction. However, due to the influence of topographical obstructions and variations in bathymetry, the application of deep learning in wave spectra prediction in semi-enclosed seas is limited. To address this issue, this study proposes a multimodal wave spectrum generation model for single points in regional seas. The model is developed based on an Encoder-Decoder architecture and further enhanced by incorporating the Coordinate Attention mechanism. The dataset for deep learning was simulated using the WAVEWATCH III numerical wave model and validated against buoy measurements. The input data for the deep learning model consists of multi-scale data, including regional wind fields and bathymetry, wind parameters and bathymetry at the target point. To evaluate the model's performance, we assessed the accuracy of the wave spectrum and wave spectrum integral parameters using the correlation coefficient, mean absolute error and root mean square error. Statistical analysis of wave spectrum and wave spectrum integral parameters illustrates that the generated wave spectra accurately reflect the total energy and energy distribution characteristics of the real wave spectra. The results demonstrate that the deep learning model effectively learns the nonlinear relationship between the input data and the wave spectrum in semi-enclosed seas.

波浪谱提供了关于海浪的全面信息，包括频率和方向。然而，由于地形障碍和水深变化的影响，深度学习在半封闭海波浪谱预测中的应用受到限制。为了解决这一问题，本研究提出了区域海域单点多模态波浪谱生成模型。该模型基于编码器-解码器架构，并通过加入坐标注意机制进一步增强。使用WAVEWATCH III数值波浪模型对深度学习数据集进行了模拟，并根据浮标测量结果进行了验证。深度学习模型的输入数据由多尺度数据组成，包括区域风场和测深、目标点风参数和测深。为了评估模型的性能，我们使用相关系数、平均绝对误差和均方根误差来评估波谱和波谱积分参数的精度。对波浪谱和波浪谱积分参数的统计分析表明，生成的波浪谱准确反映了真实波浪谱的总能量和能量分布特征。结果表明，深度学习模型能有效地学习半封闭海域输入数据与波浪谱之间的非线性关系。

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