Pub Date : 2025-10-25DOI: 10.1016/j.dynatmoce.2025.101610
Xianqi Zhang , He Ren , Jiawen Liu , Yang Yang , Yike Liu
Global climate change and the increasing frequency of extreme weather events are exacerbating environmental degradation and water resource challenges. Given the complexity of reservoirs, it is important to assess the impact on reservoir water quality enhancement through testing. In this study, the hydrodynamic-water quality module coupling was constructed with the help of MIKE21 software and applied to Miyun Reservoir, and the improved water quality enhancement was subsequently validated and three different scenarios were evaluated for water quality. The results showed a significant improvement in water quality in the reservoirs with an average improvement rate of 38.65 %, and pollutant concentrations diffused towards the center of the reservoir in a gradient. The water quality is best improved when the flow rate was doubled and the duration of recharge was reduced by 50 %. In conclusion, the water quality enhancement effect of this study is of great significance for other reservoirs to improve water quality and protect the ecosystem.
{"title":"MIKE21-based reservoir water quality enhancement simulation study: The case of Miyun Reservoir, China","authors":"Xianqi Zhang , He Ren , Jiawen Liu , Yang Yang , Yike Liu","doi":"10.1016/j.dynatmoce.2025.101610","DOIUrl":"10.1016/j.dynatmoce.2025.101610","url":null,"abstract":"<div><div>Global climate change and the increasing frequency of extreme weather events are exacerbating environmental degradation and water resource challenges. Given the complexity of reservoirs, it is important to assess the impact on reservoir water quality enhancement through testing. In this study, the hydrodynamic-water quality module coupling was constructed with the help of MIKE21 software and applied to Miyun Reservoir, and the improved water quality enhancement was subsequently validated and three different scenarios were evaluated for water quality. The results showed a significant improvement in water quality in the reservoirs with an average improvement rate of 38.65 %, and pollutant concentrations diffused towards the center of the reservoir in a gradient. The water quality is best improved when the flow rate was doubled and the duration of recharge was reduced by 50 %. In conclusion, the water quality enhancement effect of this study is of great significance for other reservoirs to improve water quality and protect the ecosystem.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101610"},"PeriodicalIF":2.0,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-21DOI: 10.1016/j.dynatmoce.2025.101608
Muhammad Yasir , Karim Choubani , Muhammad Naveed Khan , Mohammed A. Almeshaal , Mohamed Hussien
The phase change transition aspects in various non-Newtonian fluid flow analyses have been examined, motivated by the progressive relaxation properties of flow and its applied benefits in the rheological characterization of various dynamic fluids. A thermal radiation-based mechanism with mass diffusion process and magnetized flow properties of three significant models of micropolar fluid, Casson fluid, and Maxwell fluid are briefly analyzed in this study. The melting heat transport phenomenon of all fluids is briefly explained with variables physical characteristics based on exponential function. By taking the medium of a stretched sheet, the radiative flow problem is scrutinized under the theory of boundary layer. Moreover, significant theory of Cattaneo Christov is imposed through modified Fourier and Ficks laws to discuss the thermal process and mass diffusion phenomenon. The physical factor of viscous dissipation along with thermal radiation is also incorporated. The velocity slip constraint is taken on the boundary surface. By taking both weak and strong concentrations of microparticles, the physical characteristics of micropolar fluid along with other Maxwell fluid and Casson fluid are graphically exhibited through bvp4c technique in MATLAB package. This comparative study yields the fact that radiation parameter significantly upsurges the temperature field of Casson fluid as compared to other fluids.
{"title":"Influence of Cattaneo-Christov radiative heat flux in magnetized flow performance of three different materials with variable constraints","authors":"Muhammad Yasir , Karim Choubani , Muhammad Naveed Khan , Mohammed A. Almeshaal , Mohamed Hussien","doi":"10.1016/j.dynatmoce.2025.101608","DOIUrl":"10.1016/j.dynatmoce.2025.101608","url":null,"abstract":"<div><div>The phase change transition aspects in various non-Newtonian fluid flow analyses have been examined, motivated by the progressive relaxation properties of flow and its applied benefits in the rheological characterization of various dynamic fluids. A thermal radiation-based mechanism with mass diffusion process and magnetized flow properties of three significant models of micropolar fluid, Casson fluid, and Maxwell fluid are briefly analyzed in this study. The melting heat transport phenomenon of all fluids is briefly explained with variables physical characteristics based on exponential function. By taking the medium of a stretched sheet, the radiative flow problem is scrutinized under the theory of boundary layer. Moreover, significant theory of Cattaneo Christov is imposed through modified Fourier and Ficks laws to discuss the thermal process and mass diffusion phenomenon. The physical factor of viscous dissipation along with thermal radiation is also incorporated. The velocity slip constraint is taken on the boundary surface. By taking both weak and strong concentrations of microparticles, the physical characteristics of micropolar fluid along with other Maxwell fluid and Casson fluid are graphically exhibited through bvp4c technique in MATLAB package. This comparative study yields the fact that radiation parameter significantly upsurges the temperature field of Casson fluid as compared to other fluids.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101608"},"PeriodicalIF":2.0,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-18DOI: 10.1016/j.dynatmoce.2025.101606
Kuiping Li , Keyi Wang
The quasi-biweekly oscillation (QBWO) represents a significant sub-seasonal variability in the tropical atmosphere, exerting profound impacts on weather and climate systems across the northwestern Pacific. This study investigates the distinct initiation mechanisms of QBWO convection during boreal summers (June-July-August-September) under El Niño and La Niña developing conditions. In La Niña summers, the initiation of QBWO convection is characterized by weaker activity and shallow convection in the initiation region (150°-170°E, 5°S-5°N), which is preconditioned by westward-moving moisture precursors. Subsequently, QBWO convection travels westward along the equator before eventually evolves into deep convection and triggers a distinct forced equatorial Rossby wave response. In contrast, during El Niño summers, QBWO convection initiates more vigorously, manifesting as deep convection right from the onset. A notable Rossby wave response is observed as convection develops, but unlike in La Niña years, the initiation is not preceded by a precursory moisture signal. Instead, it is triggered by a baroclinic divergence field at the equator, which is intricately linked to the meridional winds associated with double unstable developing Rossby wave cells in both hemispheres. These marked disparities in QBWO convection initiation between La Niña and El Niño years are likely attributable to ENSO-induced interannual variations in atmospheric circulation, particularly concerning vertical wind shear and moisture availability. Our findings not only advance the understanding of QBWO initiation dynamics but also shed light on its interannual modulation, thereby offering potential improvements for sub-seasonal climate predictability in tropical regions.
{"title":"Initiation of quasi-biweekly oscillation over the equatorial western pacific during El Niño and La Niña developing summers","authors":"Kuiping Li , Keyi Wang","doi":"10.1016/j.dynatmoce.2025.101606","DOIUrl":"10.1016/j.dynatmoce.2025.101606","url":null,"abstract":"<div><div>The quasi-biweekly oscillation (QBWO) represents a significant sub-seasonal variability in the tropical atmosphere, exerting profound impacts on weather and climate systems across the northwestern Pacific. This study investigates the distinct initiation mechanisms of QBWO convection during boreal summers (June-July-August-September) under El Niño and La Niña developing conditions. In La Niña summers, the initiation of QBWO convection is characterized by weaker activity and shallow convection in the initiation region (150°-170°E, 5°S-5°N), which is preconditioned by westward-moving moisture precursors. Subsequently, QBWO convection travels westward along the equator before eventually evolves into deep convection and triggers a distinct forced equatorial Rossby wave response. In contrast, during El Niño summers, QBWO convection initiates more vigorously, manifesting as deep convection right from the onset. A notable Rossby wave response is observed as convection develops, but unlike in La Niña years, the initiation is not preceded by a precursory moisture signal. Instead, it is triggered by a baroclinic divergence field at the equator, which is intricately linked to the meridional winds associated with double unstable developing Rossby wave cells in both hemispheres. These marked disparities in QBWO convection initiation between La Niña and El Niño years are likely attributable to ENSO-induced interannual variations in atmospheric circulation, particularly concerning vertical wind shear and moisture availability. Our findings not only advance the understanding of QBWO initiation dynamics but also shed light on its interannual modulation, thereby offering potential improvements for sub-seasonal climate predictability in tropical regions.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101606"},"PeriodicalIF":2.0,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-16DOI: 10.1016/j.dynatmoce.2025.101605
Alberto Alatriste-Domínguez , Zobeida Jezabel Guzmán-Zavaleta , José Manuel Cabrera-Miranda
Developing countries lie vulnerable to increasingly intense tropical cyclones. The storm surge caused by nine tropical cyclones is analyzed using machine learning models. The tropical cyclones’ data is transformed into an eight-feature dataset. A fitted artificial neural network (ANN) and eight categories of other machine learning models are constructed and trained with the dataset. The effect and performance of forecasting windows is assessed. The fitted ANN and Ensemble Boosted Trees were the best performing models, as they reach an RMSE as low as 2 cm. The models manage to extract the relationships between the parameters due to their performance on the unknown testing dataset. The models are then assessed in a spatio-temporal scenario on historical tropical cyclones. This application develops insights into its response’s adjustment to observed elevations along the coast. Overall, the models accurately estimate the extent and duration of the storm surge where tide stations are present and highlight regions of potential interest due to higher storm surges for research and resource investment. This work contributes towards the application of ML models in developing countries with low infrastructure density and data availability, by increasing spatial density of the storm surge data, with the benefit of low computational costs.
{"title":"Storm surge spatio-temporal modelling using machine learning on the eastern coast of the Yucatan Peninsula","authors":"Alberto Alatriste-Domínguez , Zobeida Jezabel Guzmán-Zavaleta , José Manuel Cabrera-Miranda","doi":"10.1016/j.dynatmoce.2025.101605","DOIUrl":"10.1016/j.dynatmoce.2025.101605","url":null,"abstract":"<div><div>Developing countries lie vulnerable to increasingly intense tropical cyclones. The storm surge caused by nine tropical cyclones is analyzed using machine learning models. The tropical cyclones’ data is transformed into an eight-feature dataset. A fitted artificial neural network (ANN) and eight categories of other machine learning models are constructed and trained with the dataset. The effect and performance of forecasting windows is assessed. The fitted ANN and Ensemble Boosted Trees were the best performing models, as they reach an RMSE as low as 2 cm. The models manage to extract the relationships between the parameters due to their performance on the unknown testing dataset. The models are then assessed in a spatio-temporal scenario on historical tropical cyclones. This application develops insights into its response’s adjustment to observed elevations along the coast. Overall, the models accurately estimate the extent and duration of the storm surge where tide stations are present and highlight regions of potential interest due to higher storm surges for research and resource investment. This work contributes towards the application of ML models in developing countries with low infrastructure density and data availability, by increasing spatial density of the storm surge data, with the benefit of low computational costs.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101605"},"PeriodicalIF":2.0,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-15DOI: 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.
{"title":"Various approximations of mathematical models of planetary internal gravity waves in the f-plane approximation","authors":"Robert G. Zakinyan, Andrey V. Chernyshov, Arthur R. Zakinyan","doi":"10.1016/j.dynatmoce.2025.101604","DOIUrl":"10.1016/j.dynatmoce.2025.101604","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101604"},"PeriodicalIF":2.0,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145321505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-15DOI: 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.
{"title":"Assessment of precipitation reanalysis product ERA5 on summer extreme precipitation in the Yellow River Basin","authors":"Guangyu Lan, Yun Liang, Yucheng Ma","doi":"10.1016/j.dynatmoce.2025.101603","DOIUrl":"10.1016/j.dynatmoce.2025.101603","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101603"},"PeriodicalIF":2.0,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Moisture build-up and thermodynamic processes in precipitation regimes during the southwest monsoon over a tropical coastal region","authors":"Anusha Andrews , E.A. Resmi , R.K. Sumesh , Sneha Sunil , A.R. Aswini , Nita Sukumar , Sumit Kumar , A. Sabarinath , Tejavath Charan Teja , Dharmadas Jash","doi":"10.1016/j.dynatmoce.2025.101601","DOIUrl":"10.1016/j.dynatmoce.2025.101601","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101601"},"PeriodicalIF":2.0,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145321504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-19DOI: 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 parameter, Bingham fluid plastic paramter , radiation parameter and parameter.
{"title":"Soret and Dufour effects of Bingham plastic fluid flow over a solar radiative heat flux","authors":"Mair Khan , T. Salahuddin , Muhammad Awais , Basem Al Awan , Muyassar Norberdiyeva , Nidhal Ben Khedher","doi":"10.1016/j.dynatmoce.2025.101600","DOIUrl":"10.1016/j.dynatmoce.2025.101600","url":null,"abstract":"<div><div>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 <span><math><msub><mrow><mi>α</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span> parameter, Bingham fluid plastic paramter <span><math><mrow><mi>B</mi><mi>n</mi></mrow></math></span>, radiation <span><math><msub><mrow><mi>R</mi></mrow><mrow><mi>d</mi></mrow></msub></math></span> parameter and <span><math><mi>ξ</mi></math></span> parameter.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101600"},"PeriodicalIF":2.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-13DOI: 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.
{"title":"Poiseuille flow of Jeffrey fluid with variable transport properties in porous media under magnetic and radiative effects","authors":"Mubbashar Nazeer , Ali B.M. Ali , Farooq Hussain , N. Beemkumar , Khayrilla Kurbonov , Vatsal Jain , M. Ijaz Khan , Nidhal Ben Khedher","doi":"10.1016/j.dynatmoce.2025.101599","DOIUrl":"10.1016/j.dynatmoce.2025.101599","url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Problem statement</h3><div>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.</div></div><div><h3>Methodology</h3><div>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.</div></div><div><h3>Outcomes</h3><div>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.</div></div><div><h3>Applications</h3><div>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.</div></div><div><h3>Originality/value</h3><div>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.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101599"},"PeriodicalIF":2.0,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-07DOI: 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.
{"title":"An optimized network model for sea level height prediction integrating OLSDBO and BiTCN-BiGRU","authors":"Huan Wu , Shijian Zhou , Fengwei Wang , Tieding Lu , Xiao Li","doi":"10.1016/j.dynatmoce.2025.101598","DOIUrl":"10.1016/j.dynatmoce.2025.101598","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50563,"journal":{"name":"Dynamics of Atmospheres and Oceans","volume":"112 ","pages":"Article 101598"},"PeriodicalIF":2.0,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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